alternative for multiple if_else statements

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alternative for multiple if_else statements

kevinkariuki
Hi, I am having trouble trying to figure out why if_else is behaving the way it is, it may be my code or the way the data is structured.

Below is a snapshot of a database am working on and it represents a longitudinal survey of study participants in a trial with weekly follow up.

The variable "survey_start" represents the start of the study-defined one year follow up (which we called "survey_year").

I am trying to populate all subsequent entries for each participant, per survey year, with the entry "survey" followed by an underscore and the respective year, eg. survey_2014.

There are missing entries such as the participant represented here, wasn't available at the start of the 2015 survey. Also, some participants don’t have complete one-year follow ups but I still need to include them.

I have written two codes, first one fails while the second works, the only difference being I have reversed the order in which the entries are populated in the second code (from 2007-2016 to 2016-2007) and removed the if_else statement for 2015. Also noticed, that for the second code, which spans the years 2007-2016 (less 2015), if a participants entries start from 2010-2016, the code fails.

Kindly assist in figuring this out...or better yet, an alternative.

    trialData <- structure(list(study = c("site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
"site_1", "site_1"), studyno = c("child_1", "child_1", "child_1",
"child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
"child_1", "child_1"), date = structure(c(16078, 16085, 16092,
16098, 16104, 16115, 16121, 16129, 16135, 16140, 16146, 16156,
16162, 16168, 16177, 16185, 16191, 16195, 16203, 16210, 16217,
16225, 16234, 16237, 16246, 16253, 16262, 16269, 16278, 16283,
16288, 16297, 16304, 16311, 16319, 16326, 16332, 16337, 16346,
16353, 16360, 16366, 16370, 16381, 16384, 16395, 16399, 16407,
16415, 16422, 16444, 16452, 16454, 16467, 16474, 16477, 16484,
16490, 16501, 16508, 16514, 16520, 16529, 16533, 16539, 16550,
16556, 16564, 16566, 16578, 16582, 16593, 16599, 16604, 16613,
16620, 16623, 16635, 16636, 16654, 16660, 16666, 16673, 16681,
16688, 16693, 16702, 16706, 16714, 16721, 16728, 16734, 16745,
16749, 16757, 16764, 16769, 16778, 16785, 16792, 16805, 16812,
16819, 16830, 16832, 16839, 16846, 16856, 16862, 16867, 16877,
16884, 16890, 16898, 16904, 16912, 16917, 16923, 16936, 16938,
16953, 16960, 16966, 16973, 16980), class = "Date"), year = c(2014L,
2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
2014L, 2014L, 2014L, 2014L, 2015L, 2015L, 2015L, 2015L, 2015L,
2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L,
2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L,
2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L), month = c(1L,
1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L,
5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L,
8L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L,
12L, 12L, 12L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L,
4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 7L, 7L, 7L,
7L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 11L,
11L, 11L, 11L, 11L, 12L, 12L, 12L, 1L, 1L, 1L, 1L, 2L, 2L, 2L,
2L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 6L, 6L, 6L,
6L, 6L), survey_start = c("", "", "", "", "", "", "", "", "",
"", "", "", "", "", "", "", "", "Y", "", "", "", "", "", "",
"", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
"", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
"", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
"", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
"", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
"", "", "", "", "", "", "Y", "", "", "", "", "", "", "", "",
"", "", "", "", "", "")), class = "data.frame", row.names = c(NA,
-125L), .Names = c("study", "studyno", "date", "year", "month",
"survey_start"))


code 1 fails:

trialData <- trialData %>% arrange(studyno, date) %>% group_by(studyno) %>%
mutate(survey_year = if_else(date >= date[survey_start == "Y" & year == 2007 & study == "site_1"][1] & date < date[month == 5 & year == 2008 & study == "site_1"][1], "survey_2007",
                     if_else(date >= date[survey_start == "Y" & year == 2008 & study == "site_1"][1] & date < date[month == 4 & year == 2009 & study == "site_1"][1], "survey_2008",
                     if_else(date >= date[survey_start == "Y" & year == 2009 & study == "site_1"][1] & date < date[month == 5 & year == 2010 & study == "site_1"][1], "survey_2009",
                     if_else(date >= date[survey_start == "Y" & year == 2010 & study == "site_1"][1] & date < date[month == 5 & year == 2011 & study == "site_1"][1], "survey_2010",
                     if_else(date >= date[survey_start == "Y" & year == 2011 & study == "site_1"][1] & date < date[month == 4 & year == 2012 & study == "site_1"][1], "survey_2011",
                     if_else(date >= date[survey_start == "Y" & year == 2012 & study == "site_1"][1] & date < date[month == 4 & year == 2013 & study == "site_1"][1], "survey_2012",
                     if_else(date >= date[survey_start == "Y" & year == 2013 & study == "site_1"][1] & date < date[month == 4 & year == 2014 & study == "site_1"][1], "survey_2013",
                     if_else(date >= date[survey_start == "Y" & year == 2014 & study == "site_1"][1] & date < date[month == 4 & year == 2015 & study == "site_1"][1], "survey_2014",
                     if_else(date >= date[survey_start == "Y" & year == 2015 & study == "site_1"][1] & date < date[month == 3 & year == 2016 & study == "site_1"][1], "survey_2015",
                     if_else(date >= date[survey_start == "Y" & year == 2016 & study == "site_1"][1], "survey_2016","")))))))))))

code 2 works:

    trialData <- trialData %>% arrange(studyno, date) %>% group_by(studyno) %>%
  mutate(survey_year = if_else(date >= date[survey_start == "Y" & year == 2016 & study == "site_1"][1]                                                               , "survey_2016",
                           if_else(date >= date[survey_start == "Y" & year == 2014 & study == "site_1"][1] & date < date[month == 4 & year == 2015 & study == "site_1"][1], "survey_2014",
                           if_else(date >= date[survey_start == "Y" & year == 2013 & study == "site_1"][1] & date < date[month == 4 & year == 2014 & study == "site_1"][1], "survey_2013",
                           if_else(date >= date[survey_start == "Y" & year == 2012 & study == "site_1"][1] & date < date[month == 4 & year == 2013 & study == "site_1"][1], "survey_2012",
                           if_else(date >= date[survey_start == "Y" & year == 2011 & study == "site_1"][1] & date < date[month == 4 & year == 2012 & study == "site_1"][1], "survey_2011",
                           if_else(date >= date[survey_start == "Y" & year == 2010 & study == "site_1"][1] & date < date[month == 5 & year == 2011 & study == "site_1"][1], "survey_2010",
                           if_else(date >= date[survey_start == "Y" & year == 2009 & study == "site_1"][1] & date < date[month == 5 & year == 2010 & study == "site_1"][1], "survey_2009",
                           if_else(date >= date[survey_start == "Y" & year == 2008 & study == "site_1"][1] & date < date[month == 4 & year == 2009 & study == "site_1"][1], "survey_2008",
                           if_else(date >= date[survey_start == "Y" & year == 2007 & study == "site_1"][1] & date < date[month == 5 & year == 2008 & study == "site_1"][1], "survey_2007",""))))))))))

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Re: alternative for multiple if_else statements

Eric Berger
Hi,
1. I think the reason that the different ordering leads to different
results is because of the following:
    date[ some condition is true ][1]
    will give you an NA if there are no rows where 'some condition holds'.
    In the code that 'works' you don't have such a situation, but in the
code that 'does not work' you presumably hit an NA before you get to the
result that you really want.
2. I am not a big fan of your "nested if" layout. I think you could rewrite
it more clearly - and without nesting - with something like

     > trialData$survey_year <- rep(NA_character_, nrow(trialData))
     > trialData$survey_year[ condition for survey_2007 ] <- "survey_2007"
     > trialData$survey_year[ condition for survey_2008 ] <- "survey_2008"
     > etc

HTH,
Eric

On Wed, Feb 21, 2018 at 10:33 PM, Kevin Wamae <[hidden email]>
wrote:

> Hi, I am having trouble trying to figure out why if_else is behaving the
> way it is, it may be my code or the way the data is structured.
>
> Below is a snapshot of a database am working on and it represents a
> longitudinal survey of study participants in a trial with weekly follow up.
>
> The variable "survey_start" represents the start of the study-defined one
> year follow up (which we called "survey_year").
>
> I am trying to populate all subsequent entries for each participant, per
> survey year, with the entry "survey" followed by an underscore and the
> respective year, eg. survey_2014.
>
> There are missing entries such as the participant represented here, wasn't
> available at the start of the 2015 survey. Also, some participants don’t
> have complete one-year follow ups but I still need to include them.
>
> I have written two codes, first one fails while the second works, the only
> difference being I have reversed the order in which the entries are
> populated in the second code (from 2007-2016 to 2016-2007) and removed the
> if_else statement for 2015. Also noticed, that for the second code, which
> spans the years 2007-2016 (less 2015), if a participants entries start from
> 2010-2016, the code fails.
>
> Kindly assist in figuring this out...or better yet, an alternative.
>
>     trialData <- structure(list(study = c("site_1", "site_1", "site_1",
> "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1"), studyno = c("child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1"), date = structure(c(16078, 16085, 16092,
> 16098, 16104, 16115, 16121, 16129, 16135, 16140, 16146, 16156,
> 16162, 16168, 16177, 16185, 16191, 16195, 16203, 16210, 16217,
> 16225, 16234, 16237, 16246, 16253, 16262, 16269, 16278, 16283,
> 16288, 16297, 16304, 16311, 16319, 16326, 16332, 16337, 16346,
> 16353, 16360, 16366, 16370, 16381, 16384, 16395, 16399, 16407,
> 16415, 16422, 16444, 16452, 16454, 16467, 16474, 16477, 16484,
> 16490, 16501, 16508, 16514, 16520, 16529, 16533, 16539, 16550,
> 16556, 16564, 16566, 16578, 16582, 16593, 16599, 16604, 16613,
> 16620, 16623, 16635, 16636, 16654, 16660, 16666, 16673, 16681,
> 16688, 16693, 16702, 16706, 16714, 16721, 16728, 16734, 16745,
> 16749, 16757, 16764, 16769, 16778, 16785, 16792, 16805, 16812,
> 16819, 16830, 16832, 16839, 16846, 16856, 16862, 16867, 16877,
> 16884, 16890, 16898, 16904, 16912, 16917, 16923, 16936, 16938,
> 16953, 16960, 16966, 16973, 16980), class = "Date"), year = c(2014L,
> 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
> 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
> 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
> 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
> 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
> 2014L, 2014L, 2014L, 2014L, 2015L, 2015L, 2015L, 2015L, 2015L,
> 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
> 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
> 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
> 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
> 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
> 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L,
> 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L,
> 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L), month = c(1L,
> 1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L,
> 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L,
> 8L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L,
> 12L, 12L, 12L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L,
> 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 7L, 7L, 7L,
> 7L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 11L,
> 11L, 11L, 11L, 11L, 12L, 12L, 12L, 1L, 1L, 1L, 1L, 2L, 2L, 2L,
> 2L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 6L, 6L, 6L,
> 6L, 6L), survey_start = c("", "", "", "", "", "", "", "", "",
> "", "", "", "", "", "", "", "", "Y", "", "", "", "", "", "",
> "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
> "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
> "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
> "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
> "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
> "", "", "", "", "", "", "Y", "", "", "", "", "", "", "", "",
> "", "", "", "", "", "")), class = "data.frame", row.names = c(NA,
> -125L), .Names = c("study", "studyno", "date", "year", "month",
> "survey_start"))
>
>
> code 1 fails:
>
> trialData <- trialData %>% arrange(studyno, date) %>% group_by(studyno) %>%
> mutate(survey_year = if_else(date >= date[survey_start == "Y" & year ==
> 2007 & study == "site_1"][1] & date < date[month == 5 & year == 2008 &
> study == "site_1"][1], "survey_2007",
>                      if_else(date >= date[survey_start == "Y" & year ==
> 2008 & study == "site_1"][1] & date < date[month == 4 & year == 2009 &
> study == "site_1"][1], "survey_2008",
>                      if_else(date >= date[survey_start == "Y" & year ==
> 2009 & study == "site_1"][1] & date < date[month == 5 & year == 2010 &
> study == "site_1"][1], "survey_2009",
>                      if_else(date >= date[survey_start == "Y" & year ==
> 2010 & study == "site_1"][1] & date < date[month == 5 & year == 2011 &
> study == "site_1"][1], "survey_2010",
>                      if_else(date >= date[survey_start == "Y" & year ==
> 2011 & study == "site_1"][1] & date < date[month == 4 & year == 2012 &
> study == "site_1"][1], "survey_2011",
>                      if_else(date >= date[survey_start == "Y" & year ==
> 2012 & study == "site_1"][1] & date < date[month == 4 & year == 2013 &
> study == "site_1"][1], "survey_2012",
>                      if_else(date >= date[survey_start == "Y" & year ==
> 2013 & study == "site_1"][1] & date < date[month == 4 & year == 2014 &
> study == "site_1"][1], "survey_2013",
>                      if_else(date >= date[survey_start == "Y" & year ==
> 2014 & study == "site_1"][1] & date < date[month == 4 & year == 2015 &
> study == "site_1"][1], "survey_2014",
>                      if_else(date >= date[survey_start == "Y" & year ==
> 2015 & study == "site_1"][1] & date < date[month == 3 & year == 2016 &
> study == "site_1"][1], "survey_2015",
>                      if_else(date >= date[survey_start == "Y" & year ==
> 2016 & study == "site_1"][1], "survey_2016","")))))))))))
>
> code 2 works:
>
>     trialData <- trialData %>% arrange(studyno, date) %>%
> group_by(studyno) %>%
>   mutate(survey_year = if_else(date >= date[survey_start == "Y" & year ==
> 2016 & study == "site_1"][1]
>                , "survey_2016",
>                            if_else(date >= date[survey_start == "Y" & year
> == 2014 & study == "site_1"][1] & date < date[month == 4 & year == 2015 &
> study == "site_1"][1], "survey_2014",
>                            if_else(date >= date[survey_start == "Y" & year
> == 2013 & study == "site_1"][1] & date < date[month == 4 & year == 2014 &
> study == "site_1"][1], "survey_2013",
>                            if_else(date >= date[survey_start == "Y" & year
> == 2012 & study == "site_1"][1] & date < date[month == 4 & year == 2013 &
> study == "site_1"][1], "survey_2012",
>                            if_else(date >= date[survey_start == "Y" & year
> == 2011 & study == "site_1"][1] & date < date[month == 4 & year == 2012 &
> study == "site_1"][1], "survey_2011",
>                            if_else(date >= date[survey_start == "Y" & year
> == 2010 & study == "site_1"][1] & date < date[month == 5 & year == 2011 &
> study == "site_1"][1], "survey_2010",
>                            if_else(date >= date[survey_start == "Y" & year
> == 2009 & study == "site_1"][1] & date < date[month == 5 & year == 2010 &
> study == "site_1"][1], "survey_2009",
>                            if_else(date >= date[survey_start == "Y" & year
> == 2008 & study == "site_1"][1] & date < date[month == 4 & year == 2009 &
> study == "site_1"][1], "survey_2008",
>                            if_else(date >= date[survey_start == "Y" & year
> == 2007 & study == "site_1"][1] & date < date[month == 5 & year == 2008 &
> study == "site_1"][1], "survey_2007",""))))))))))
>
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Re: alternative for multiple if_else statements

Eric Berger
Hi Kevin,
I ran the code on the full data set and was able to reproduce the problem
that you are facing.
My guess is that you have an error in your intuition and/or logic, and that
this relates to the use of the subscript [1].
Specifically, on the full dataset, the condition
trialData$date[trialData$survey_start == "Y" & trialData$year == 2013 &
trialData$site == "site_1"]

yields 412 matches, of which there are 9 unique ones, specifically

April 2,3,4,5,8,10,11,16,17

In the full data set the first element that appears, i.e. subscript[1], is
"2013-04-04".

In the filtered data set the first element that appears is "2013-04-05".

I hope that is enough information for you to make further progress from
here.

Best,
Eric



On Thu, Feb 22, 2018 at 1:28 PM, Kevin Wamae <[hidden email]>
wrote:

> Dear Eric, wow, this seems to do the trick. But I have encountered a
> problem.
>
>
>
> I have tested it on the larger dataset and it seems to work on a filtered
> dataset but not on the whole dataset (attached). See below script..
>
>
>
> #load packages
>
> Library(dplyr)
>
>
>
> #load data
>
> trialData <- fread("trialData.txt") %>% mutate(date =
> as.Date(date,"%d/%m/%Y"))
>
>
>
> #create blank variable
>
> trialData$survey_year <- rep(NA_character_, nrow(trialData))
>
>
>
> *#attempt 1 fails: code for survey*
>
> trialData$survey_year[trialData$date >= trialData$date[trialData$survey_start
> == "Y" & trialData$year == 2013 & trialData$site == "site_1"][1] &
> trialData$date < trialData$date[trialData$month == 4 & trialData$year ==
> 2014 & trialData$site == "site_1"][1]] <- "survey_2013"
>
>
>
> #filter trialData
>
> trialData <- trialData %>% filter(id == "id_786/3")
>
>
>
> *#attempt 2 works: code for survey*
>
> trialData$survey_year[trialData$date >= trialData$date[trialData$survey_start
> == "Y" & trialData$year == 2013 & trialData$site == "site_1"][1] &
> trialData$date < trialData$date[trialData$month == 4 & trialData$year ==
> 2014 & trialData$site == "site_1"][1]] <- "survey_2013"
>
>
>
>
>
>
>
> *From: *Eric Berger <[hidden email]>
> *Date: *Thursday, 22 February 2018 at 13:05
> *To: *Kevin Wamae <[hidden email]>
> *Cc: *"[hidden email]" <[hidden email]>
> *Subject: *Re: [R] alternative for multiple if_else statements
>
>
>
> Hi,
>
> 1. I think the reason that the different ordering leads to different
> results is because of the following:
>
>     date[ some condition is true ][1]
>
>     will give you an NA if there are no rows where 'some condition holds'.
>
>     In the code that 'works' you don't have such a situation, but in the
> code that 'does not work' you presumably hit an NA before you get to the
> result that you really want.
>
> 2. I am not a big fan of your "nested if" layout. I think you could
> rewrite it more clearly - and without nesting - with something like
>
>
>
>      > trialData$survey_year <- rep(NA_character_, nrow(trialData))
>
>      > trialData$survey_year[ condition for survey_2007 ] <- "survey_2007"
>
>      > trialData$survey_year[ condition for survey_2008 ] <- "survey_2008"
>
>      > etc
>
>
>
> HTH,
>
> Eric
>
>
>
> On Wed, Feb 21, 2018 at 10:33 PM, Kevin Wamae <[hidden email]>
> wrote:
>
> Hi, I am having trouble trying to figure out why if_else is behaving the
> way it is, it may be my code or the way the data is structured.
>
> Below is a snapshot of a database am working on and it represents a
> longitudinal survey of study participants in a trial with weekly follow up.
>
> The variable "survey_start" represents the start of the study-defined one
> year follow up (which we called "survey_year").
>
> I am trying to populate all subsequent entries for each participant, per
> survey year, with the entry "survey" followed by an underscore and the
> respective year, eg. survey_2014.
>
> There are missing entries such as the participant represented here, wasn't
> available at the start of the 2015 survey. Also, some participants don’t
> have complete one-year follow ups but I still need to include them.
>
> I have written two codes, first one fails while the second works, the only
> difference being I have reversed the order in which the entries are
> populated in the second code (from 2007-2016 to 2016-2007) and removed the
> if_else statement for 2015. Also noticed, that for the second code, which
> spans the years 2007-2016 (less 2015), if a participants entries start from
> 2010-2016, the code fails.
>
> Kindly assist in figuring this out...or better yet, an alternative.
>
>     trialData <- structure(list(study = c("site_1", "site_1", "site_1",
> "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1"), studyno = c("child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1"), date = structure(c(16078, 16085, 16092,
> 16098, 16104, 16115, 16121, 16129, 16135, 16140, 16146, 16156,
> 16162, 16168, 16177, 16185, 16191, 16195, 16203, 16210, 16217,
> 16225, 16234, 16237, 16246, 16253, 16262, 16269, 16278, 16283,
> 16288, 16297, 16304, 16311, 16319, 16326, 16332, 16337, 16346,
> 16353, 16360, 16366, 16370, 16381, 16384, 16395, 16399, 16407,
> 16415, 16422, 16444, 16452, 16454, 16467, 16474, 16477, 16484,
> 16490, 16501, 16508, 16514, 16520, 16529, 16533, 16539, 16550,
> 16556, 16564, 16566, 16578, 16582, 16593, 16599, 16604, 16613,
> 16620, 16623, 16635, 16636, 16654, 16660, 16666, 16673, 16681,
> 16688, 16693, 16702, 16706, 16714, 16721, 16728, 16734, 16745,
> 16749, 16757, 16764, 16769, 16778, 16785, 16792, 16805, 16812,
> 16819, 16830, 16832, 16839, 16846, 16856, 16862, 16867, 16877,
> 16884, 16890, 16898, 16904, 16912, 16917, 16923, 16936, 16938,
> 16953, 16960, 16966, 16973, 16980), class = "Date"), year = c(2014L,
> 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
> 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
> 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
> 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
> 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
> 2014L, 2014L, 2014L, 2014L, 2015L, 2015L, 2015L, 2015L, 2015L,
> 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
> 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
> 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
> 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
> 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
> 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L,
> 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L,
> 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L), month = c(1L,
> 1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L,
> 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L,
> 8L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L,
> 12L, 12L, 12L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L,
> 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 7L, 7L, 7L,
> 7L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 11L,
> 11L, 11L, 11L, 11L, 12L, 12L, 12L, 1L, 1L, 1L, 1L, 2L, 2L, 2L,
> 2L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 6L, 6L, 6L,
> 6L, 6L), survey_start = c("", "", "", "", "", "", "", "", "",
> "", "", "", "", "", "", "", "", "Y", "", "", "", "", "", "",
> "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
> "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
> "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
> "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
> "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
> "", "", "", "", "", "", "Y", "", "", "", "", "", "", "", "",
> "", "", "", "", "", "")), class = "data.frame", row.names = c(NA,
> -125L), .Names = c("study", "studyno", "date", "year", "month",
> "survey_start"))
>
>
> code 1 fails:
>
> trialData <- trialData %>% arrange(studyno, date) %>% group_by(studyno) %>%
> mutate(survey_year = if_else(date >= date[survey_start == "Y" & year ==
> 2007 & study == "site_1"][1] & date < date[month == 5 & year == 2008 &
> study == "site_1"][1], "survey_2007",
>                      if_else(date >= date[survey_start == "Y" & year ==
> 2008 & study == "site_1"][1] & date < date[month == 4 & year == 2009 &
> study == "site_1"][1], "survey_2008",
>                      if_else(date >= date[survey_start == "Y" & year ==
> 2009 & study == "site_1"][1] & date < date[month == 5 & year == 2010 &
> study == "site_1"][1], "survey_2009",
>                      if_else(date >= date[survey_start == "Y" & year ==
> 2010 & study == "site_1"][1] & date < date[month == 5 & year == 2011 &
> study == "site_1"][1], "survey_2010",
>                      if_else(date >= date[survey_start == "Y" & year ==
> 2011 & study == "site_1"][1] & date < date[month == 4 & year == 2012 &
> study == "site_1"][1], "survey_2011",
>                      if_else(date >= date[survey_start == "Y" & year ==
> 2012 & study == "site_1"][1] & date < date[month == 4 & year == 2013 &
> study == "site_1"][1], "survey_2012",
>                      if_else(date >= date[survey_start == "Y" & year ==
> 2013 & study == "site_1"][1] & date < date[month == 4 & year == 2014 &
> study == "site_1"][1], "survey_2013",
>                      if_else(date >= date[survey_start == "Y" & year ==
> 2014 & study == "site_1"][1] & date < date[month == 4 & year == 2015 &
> study == "site_1"][1], "survey_2014",
>                      if_else(date >= date[survey_start == "Y" & year ==
> 2015 & study == "site_1"][1] & date < date[month == 3 & year == 2016 &
> study == "site_1"][1], "survey_2015",
>                      if_else(date >= date[survey_start == "Y" & year ==
> 2016 & study == "site_1"][1], "survey_2016","")))))))))))
>
> code 2 works:
>
>     trialData <- trialData %>% arrange(studyno, date) %>%
> group_by(studyno) %>%
>   mutate(survey_year = if_else(date >= date[survey_start == "Y" & year ==
> 2016 & study == "site_1"][1]
>                , "survey_2016",
>                            if_else(date >= date[survey_start == "Y" & year
> == 2014 & study == "site_1"][1] & date < date[month == 4 & year == 2015 &
> study == "site_1"][1], "survey_2014",
>                            if_else(date >= date[survey_start == "Y" & year
> == 2013 & study == "site_1"][1] & date < date[month == 4 & year == 2014 &
> study == "site_1"][1], "survey_2013",
>                            if_else(date >= date[survey_start == "Y" & year
> == 2012 & study == "site_1"][1] & date < date[month == 4 & year == 2013 &
> study == "site_1"][1], "survey_2012",
>                            if_else(date >= date[survey_start == "Y" & year
> == 2011 & study == "site_1"][1] & date < date[month == 4 & year == 2012 &
> study == "site_1"][1], "survey_2011",
>                            if_else(date >= date[survey_start == "Y" & year
> == 2010 & study == "site_1"][1] & date < date[month == 5 & year == 2011 &
> study == "site_1"][1], "survey_2010",
>                            if_else(date >= date[survey_start == "Y" & year
> == 2009 & study == "site_1"][1] & date < date[month == 5 & year == 2010 &
> study == "site_1"][1], "survey_2009",
>                            if_else(date >= date[survey_start == "Y" & year
> == 2008 & study == "site_1"][1] & date < date[month == 4 & year == 2009 &
> study == "site_1"][1], "survey_2008",
>                            if_else(date >= date[survey_start == "Y" & year
> == 2007 & study == "site_1"][1] & date < date[month == 5 & year == 2008 &
> study == "site_1"][1], "survey_2007",""))))))))))
>
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Re: alternative for multiple if_else statements

Ista Zahn
In reply to this post by kevinkariuki
I don't fully understand the logic you are trying to implement, but
something along the lines of

foo <- cut(trialData$date,
           breaks = as.Date(c("2007-01-01",
                              "2008-05-01",
                              "2009-04-01",
                              "2010-05-01",
                              "2011-05-01",
                              "2012-04-01",
                              "2013-04-01",
                              "2014-04-01",
                              "2015-04-01",
                              "2016-03-01",
                              "2017-01-01")))

might work.

Best,
Ista

On Wed, Feb 21, 2018 at 3:33 PM, Kevin Wamae <[hidden email]> wrote:

> Hi, I am having trouble trying to figure out why if_else is behaving the way it is, it may be my code or the way the data is structured.
>
> Below is a snapshot of a database am working on and it represents a longitudinal survey of study participants in a trial with weekly follow up.
>
> The variable "survey_start" represents the start of the study-defined one year follow up (which we called "survey_year").
>
> I am trying to populate all subsequent entries for each participant, per survey year, with the entry "survey" followed by an underscore and the respective year, eg. survey_2014.
>
> There are missing entries such as the participant represented here, wasn't available at the start of the 2015 survey. Also, some participants don’t have complete one-year follow ups but I still need to include them.
>
> I have written two codes, first one fails while the second works, the only difference being I have reversed the order in which the entries are populated in the second code (from 2007-2016 to 2016-2007) and removed the if_else statement for 2015. Also noticed, that for the second code, which spans the years 2007-2016 (less 2015), if a participants entries start from 2010-2016, the code fails.
>
> Kindly assist in figuring this out...or better yet, an alternative.
>
>     trialData <- structure(list(study = c("site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1"), studyno = c("child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1"), date = structure(c(16078, 16085, 16092,
> 16098, 16104, 16115, 16121, 16129, 16135, 16140, 16146, 16156,
> 16162, 16168, 16177, 16185, 16191, 16195, 16203, 16210, 16217,
> 16225, 16234, 16237, 16246, 16253, 16262, 16269, 16278, 16283,
> 16288, 16297, 16304, 16311, 16319, 16326, 16332, 16337, 16346,
> 16353, 16360, 16366, 16370, 16381, 16384, 16395, 16399, 16407,
> 16415, 16422, 16444, 16452, 16454, 16467, 16474, 16477, 16484,
> 16490, 16501, 16508, 16514, 16520, 16529, 16533, 16539, 16550,
> 16556, 16564, 16566, 16578, 16582, 16593, 16599, 16604, 16613,
> 16620, 16623, 16635, 16636, 16654, 16660, 16666, 16673, 16681,
> 16688, 16693, 16702, 16706, 16714, 16721, 16728, 16734, 16745,
> 16749, 16757, 16764, 16769, 16778, 16785, 16792, 16805, 16812,
> 16819, 16830, 16832, 16839, 16846, 16856, 16862, 16867, 16877,
> 16884, 16890, 16898, 16904, 16912, 16917, 16923, 16936, 16938,
> 16953, 16960, 16966, 16973, 16980), class = "Date"), year = c(2014L,
> 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
> 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
> 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
> 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
> 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
> 2014L, 2014L, 2014L, 2014L, 2015L, 2015L, 2015L, 2015L, 2015L,
> 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
> 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
> 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
> 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
> 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
> 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L,
> 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L,
> 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L), month = c(1L,
> 1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L,
> 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L,
> 8L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L,
> 12L, 12L, 12L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L,
> 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 7L, 7L, 7L,
> 7L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 11L,
> 11L, 11L, 11L, 11L, 12L, 12L, 12L, 1L, 1L, 1L, 1L, 2L, 2L, 2L,
> 2L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 6L, 6L, 6L,
> 6L, 6L), survey_start = c("", "", "", "", "", "", "", "", "",
> "", "", "", "", "", "", "", "", "Y", "", "", "", "", "", "",
> "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
> "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
> "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
> "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
> "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
> "", "", "", "", "", "", "Y", "", "", "", "", "", "", "", "",
> "", "", "", "", "", "")), class = "data.frame", row.names = c(NA,
> -125L), .Names = c("study", "studyno", "date", "year", "month",
> "survey_start"))
>
>
> code 1 fails:
>
> trialData <- trialData %>% arrange(studyno, date) %>% group_by(studyno) %>%
> mutate(survey_year = if_else(date >= date[survey_start == "Y" & year == 2007 & study == "site_1"][1] & date < date[month == 5 & year == 2008 & study == "site_1"][1], "survey_2007",
>                      if_else(date >= date[survey_start == "Y" & year == 2008 & study == "site_1"][1] & date < date[month == 4 & year == 2009 & study == "site_1"][1], "survey_2008",
>                      if_else(date >= date[survey_start == "Y" & year == 2009 & study == "site_1"][1] & date < date[month == 5 & year == 2010 & study == "site_1"][1], "survey_2009",
>                      if_else(date >= date[survey_start == "Y" & year == 2010 & study == "site_1"][1] & date < date[month == 5 & year == 2011 & study == "site_1"][1], "survey_2010",
>                      if_else(date >= date[survey_start == "Y" & year == 2011 & study == "site_1"][1] & date < date[month == 4 & year == 2012 & study == "site_1"][1], "survey_2011",
>                      if_else(date >= date[survey_start == "Y" & year == 2012 & study == "site_1"][1] & date < date[month == 4 & year == 2013 & study == "site_1"][1], "survey_2012",
>                      if_else(date >= date[survey_start == "Y" & year == 2013 & study == "site_1"][1] & date < date[month == 4 & year == 2014 & study == "site_1"][1], "survey_2013",
>                      if_else(date >= date[survey_start == "Y" & year == 2014 & study == "site_1"][1] & date < date[month == 4 & year == 2015 & study == "site_1"][1], "survey_2014",
>                      if_else(date >= date[survey_start == "Y" & year == 2015 & study == "site_1"][1] & date < date[month == 3 & year == 2016 & study == "site_1"][1], "survey_2015",
>                      if_else(date >= date[survey_start == "Y" & year == 2016 & study == "site_1"][1], "survey_2016","")))))))))))
>
> code 2 works:
>
>     trialData <- trialData %>% arrange(studyno, date) %>% group_by(studyno) %>%
>   mutate(survey_year = if_else(date >= date[survey_start == "Y" & year == 2016 & study == "site_1"][1]                                                               , "survey_2016",
>                            if_else(date >= date[survey_start == "Y" & year == 2014 & study == "site_1"][1] & date < date[month == 4 & year == 2015 & study == "site_1"][1], "survey_2014",
>                            if_else(date >= date[survey_start == "Y" & year == 2013 & study == "site_1"][1] & date < date[month == 4 & year == 2014 & study == "site_1"][1], "survey_2013",
>                            if_else(date >= date[survey_start == "Y" & year == 2012 & study == "site_1"][1] & date < date[month == 4 & year == 2013 & study == "site_1"][1], "survey_2012",
>                            if_else(date >= date[survey_start == "Y" & year == 2011 & study == "site_1"][1] & date < date[month == 4 & year == 2012 & study == "site_1"][1], "survey_2011",
>                            if_else(date >= date[survey_start == "Y" & year == 2010 & study == "site_1"][1] & date < date[month == 5 & year == 2011 & study == "site_1"][1], "survey_2010",
>                            if_else(date >= date[survey_start == "Y" & year == 2009 & study == "site_1"][1] & date < date[month == 5 & year == 2010 & study == "site_1"][1], "survey_2009",
>                            if_else(date >= date[survey_start == "Y" & year == 2008 & study == "site_1"][1] & date < date[month == 4 & year == 2009 & study == "site_1"][1], "survey_2008",
>                            if_else(date >= date[survey_start == "Y" & year == 2007 & study == "site_1"][1] & date < date[month == 5 & year == 2008 & study == "site_1"][1], "survey_2007",""))))))))))
>
> ______________________________________________________________________
>
> This e-mail contains information which is confidential. It is intended only for the use of the named recipient. If you have received this e-mail in error, please let us know by replying to the sender, and immediately delete it from your system.  Please note, that in these circumstances, the use, disclosure, distribution or copying of this information is strictly prohibited. KEMRI-Wellcome Trust Programme cannot accept any responsibility for the  accuracy or completeness of this message as it has been transmitted over a public network. Although the Programme has taken reasonable precautions to ensure no viruses are present in emails, it cannot accept responsibility for any loss or damage arising from the use of the email or attachments. Any views expressed in this message are those of the individual sender, except where the sender specifically states them to be the views of KEMRI-Wellcome Trust Programme.
> ______________________________________________________________________
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Re: alternative for multiple if_else statements

kevinkariuki
Dear Ista, thank you. Let me see how best I can implement this.

Regards
------------------
Kevin Wamae

On 22/02/2018, 16:58, "Ista Zahn" <[hidden email]> wrote:

    I don't fully understand the logic you are trying to implement, but
    something along the lines of
   
    foo <- cut(trialData$date,
               breaks = as.Date(c("2007-01-01",
                                  "2008-05-01",
                                  "2009-04-01",
                                  "2010-05-01",
                                  "2011-05-01",
                                  "2012-04-01",
                                  "2013-04-01",
                                  "2014-04-01",
                                  "2015-04-01",
                                  "2016-03-01",
                                  "2017-01-01")))
   
    might work.
   
    Best,
    Ista
   
    On Wed, Feb 21, 2018 at 3:33 PM, Kevin Wamae <[hidden email]> wrote:
    > Hi, I am having trouble trying to figure out why if_else is behaving the way it is, it may be my code or the way the data is structured.
    >
    > Below is a snapshot of a database am working on and it represents a longitudinal survey of study participants in a trial with weekly follow up.
    >
    > The variable "survey_start" represents the start of the study-defined one year follow up (which we called "survey_year").
    >
    > I am trying to populate all subsequent entries for each participant, per survey year, with the entry "survey" followed by an underscore and the respective year, eg. survey_2014.
    >
    > There are missing entries such as the participant represented here, wasn't available at the start of the 2015 survey. Also, some participants don’t have complete one-year follow ups but I still need to include them.
    >
    > I have written two codes, first one fails while the second works, the only difference being I have reversed the order in which the entries are populated in the second code (from 2007-2016 to 2016-2007) and removed the if_else statement for 2015. Also noticed, that for the second code, which spans the years 2007-2016 (less 2015), if a participants entries start from 2010-2016, the code fails.
    >
    > Kindly assist in figuring this out...or better yet, an alternative.
    >
    >     trialData <- structure(list(study = c("site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1"), studyno = c("child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
    > "child_1", "child_1"), date = structure(c(16078, 16085, 16092,
    > 16098, 16104, 16115, 16121, 16129, 16135, 16140, 16146, 16156,
    > 16162, 16168, 16177, 16185, 16191, 16195, 16203, 16210, 16217,
    > 16225, 16234, 16237, 16246, 16253, 16262, 16269, 16278, 16283,
    > 16288, 16297, 16304, 16311, 16319, 16326, 16332, 16337, 16346,
    > 16353, 16360, 16366, 16370, 16381, 16384, 16395, 16399, 16407,
    > 16415, 16422, 16444, 16452, 16454, 16467, 16474, 16477, 16484,
    > 16490, 16501, 16508, 16514, 16520, 16529, 16533, 16539, 16550,
    > 16556, 16564, 16566, 16578, 16582, 16593, 16599, 16604, 16613,
    > 16620, 16623, 16635, 16636, 16654, 16660, 16666, 16673, 16681,
    > 16688, 16693, 16702, 16706, 16714, 16721, 16728, 16734, 16745,
    > 16749, 16757, 16764, 16769, 16778, 16785, 16792, 16805, 16812,
    > 16819, 16830, 16832, 16839, 16846, 16856, 16862, 16867, 16877,
    > 16884, 16890, 16898, 16904, 16912, 16917, 16923, 16936, 16938,
    > 16953, 16960, 16966, 16973, 16980), class = "Date"), year = c(2014L,
    > 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
    > 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
    > 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
    > 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
    > 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
    > 2014L, 2014L, 2014L, 2014L, 2015L, 2015L, 2015L, 2015L, 2015L,
    > 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
    > 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
    > 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
    > 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
    > 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
    > 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L,
    > 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L,
    > 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L), month = c(1L,
    > 1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L,
    > 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L,
    > 8L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L,
    > 12L, 12L, 12L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L,
    > 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 7L, 7L, 7L,
    > 7L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 11L,
    > 11L, 11L, 11L, 11L, 12L, 12L, 12L, 1L, 1L, 1L, 1L, 2L, 2L, 2L,
    > 2L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 6L, 6L, 6L,
    > 6L, 6L), survey_start = c("", "", "", "", "", "", "", "", "",
    > "", "", "", "", "", "", "", "", "Y", "", "", "", "", "", "",
    > "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
    > "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
    > "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
    > "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
    > "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
    > "", "", "", "", "", "", "Y", "", "", "", "", "", "", "", "",
    > "", "", "", "", "", "")), class = "data.frame", row.names = c(NA,
    > -125L), .Names = c("study", "studyno", "date", "year", "month",
    > "survey_start"))
    >
    >
    > code 1 fails:
    >
    > trialData <- trialData %>% arrange(studyno, date) %>% group_by(studyno) %>%
    > mutate(survey_year = if_else(date >= date[survey_start == "Y" & year == 2007 & study == "site_1"][1] & date < date[month == 5 & year == 2008 & study == "site_1"][1], "survey_2007",
    >                      if_else(date >= date[survey_start == "Y" & year == 2008 & study == "site_1"][1] & date < date[month == 4 & year == 2009 & study == "site_1"][1], "survey_2008",
    >                      if_else(date >= date[survey_start == "Y" & year == 2009 & study == "site_1"][1] & date < date[month == 5 & year == 2010 & study == "site_1"][1], "survey_2009",
    >                      if_else(date >= date[survey_start == "Y" & year == 2010 & study == "site_1"][1] & date < date[month == 5 & year == 2011 & study == "site_1"][1], "survey_2010",
    >                      if_else(date >= date[survey_start == "Y" & year == 2011 & study == "site_1"][1] & date < date[month == 4 & year == 2012 & study == "site_1"][1], "survey_2011",
    >                      if_else(date >= date[survey_start == "Y" & year == 2012 & study == "site_1"][1] & date < date[month == 4 & year == 2013 & study == "site_1"][1], "survey_2012",
    >                      if_else(date >= date[survey_start == "Y" & year == 2013 & study == "site_1"][1] & date < date[month == 4 & year == 2014 & study == "site_1"][1], "survey_2013",
    >                      if_else(date >= date[survey_start == "Y" & year == 2014 & study == "site_1"][1] & date < date[month == 4 & year == 2015 & study == "site_1"][1], "survey_2014",
    >                      if_else(date >= date[survey_start == "Y" & year == 2015 & study == "site_1"][1] & date < date[month == 3 & year == 2016 & study == "site_1"][1], "survey_2015",
    >                      if_else(date >= date[survey_start == "Y" & year == 2016 & study == "site_1"][1], "survey_2016","")))))))))))
    >
    > code 2 works:
    >
    >     trialData <- trialData %>% arrange(studyno, date) %>% group_by(studyno) %>%
    >   mutate(survey_year = if_else(date >= date[survey_start == "Y" & year == 2016 & study == "site_1"][1]                                                               , "survey_2016",
    >                            if_else(date >= date[survey_start == "Y" & year == 2014 & study == "site_1"][1] & date < date[month == 4 & year == 2015 & study == "site_1"][1], "survey_2014",
    >                            if_else(date >= date[survey_start == "Y" & year == 2013 & study == "site_1"][1] & date < date[month == 4 & year == 2014 & study == "site_1"][1], "survey_2013",
    >                            if_else(date >= date[survey_start == "Y" & year == 2012 & study == "site_1"][1] & date < date[month == 4 & year == 2013 & study == "site_1"][1], "survey_2012",
    >                            if_else(date >= date[survey_start == "Y" & year == 2011 & study == "site_1"][1] & date < date[month == 4 & year == 2012 & study == "site_1"][1], "survey_2011",
    >                            if_else(date >= date[survey_start == "Y" & year == 2010 & study == "site_1"][1] & date < date[month == 5 & year == 2011 & study == "site_1"][1], "survey_2010",
    >                            if_else(date >= date[survey_start == "Y" & year == 2009 & study == "site_1"][1] & date < date[month == 5 & year == 2010 & study == "site_1"][1], "survey_2009",
    >                            if_else(date >= date[survey_start == "Y" & year == 2008 & study == "site_1"][1] & date < date[month == 4 & year == 2009 & study == "site_1"][1], "survey_2008",
    >                            if_else(date >= date[survey_start == "Y" & year == 2007 & study == "site_1"][1] & date < date[month == 5 & year == 2008 & study == "site_1"][1], "survey_2007",""))))))))))
    >
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and provide commented, minimal, self-contained, reproducible code.
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Re: alternative for multiple if_else statements

kevinkariuki
In reply to this post by Eric Berger
Dear Eric, thank you for that observation.

I realised that some of the participants have duplicated “survey_start” dates and when I corrected this, the code works.

Regards
------------------
Kevin Wamae
From: Eric Berger <[hidden email]>
Date: Thursday, 22 February 2018 at 15:16
To: Kevin Wamae <[hidden email]>
Cc: "[hidden email]" <[hidden email]>
Subject: Re: [R] alternative for multiple if_else statements

Hi Kevin,
I ran the code on the full data set and was able to reproduce the problem that you are facing.
My guess is that you have an error in your intuition and/or logic, and that this relates to the use of the subscript [1].
Specifically, on the full dataset, the condition
trialData$date[trialData$survey_start == "Y" & trialData$year == 2013 & trialData$site == "site_1"]

yields 412 matches, of which there are 9 unique ones, specifically

April 2,3,4,5,8,10,11,16,17

In the full data set the first element that appears, i.e. subscript[1], is "2013-04-04".

In the filtered data set the first element that appears is "2013-04-05".

I hope that is enough information for you to make further progress from here.

Best,
Eric



On Thu, Feb 22, 2018 at 1:28 PM, Kevin Wamae <[hidden email]<mailto:[hidden email]>> wrote:
Dear Eric, wow, this seems to do the trick. But I have encountered a problem.

I have tested it on the larger dataset and it seems to work on a filtered dataset but not on the whole dataset (attached). See below script..

#load packages
Library(dplyr)

#load data
trialData <- fread("trialData.txt") %>% mutate(date = as.Date(date,"%d/%m/%Y"))

#create blank variable
trialData$survey_year <- rep(NA_character_, nrow(trialData))

#attempt 1 fails: code for survey
trialData$survey_year[trialData$date >= trialData$date[trialData$survey_start == "Y" & trialData$year == 2013 & trialData$site == "site_1"][1] & trialData$date < trialData$date[trialData$month == 4 & trialData$year == 2014 & trialData$site == "site_1"][1]] <- "survey_2013"

#filter trialData
trialData <- trialData %>% filter(id == "id_786/3")

#attempt 2 works: code for survey
trialData$survey_year[trialData$date >= trialData$date[trialData$survey_start == "Y" & trialData$year == 2013 & trialData$site == "site_1"][1] & trialData$date < trialData$date[trialData$month == 4 & trialData$year == 2014 & trialData$site == "site_1"][1]] <- "survey_2013"



From: Eric Berger <[hidden email]<mailto:[hidden email]>>
Date: Thursday, 22 February 2018 at 13:05
To: Kevin Wamae <[hidden email]<mailto:[hidden email]>>
Cc: "[hidden email]<mailto:[hidden email]>" <[hidden email]<mailto:[hidden email]>>
Subject: Re: [R] alternative for multiple if_else statements

Hi,
1. I think the reason that the different ordering leads to different results is because of the following:
    date[ some condition is true ][1]
    will give you an NA if there are no rows where 'some condition holds'.
    In the code that 'works' you don't have such a situation, but in the code that 'does not work' you presumably hit an NA before you get to the result that you really want.
2. I am not a big fan of your "nested if" layout. I think you could rewrite it more clearly - and without nesting - with something like

     > trialData$survey_year <- rep(NA_character_, nrow(trialData))
     > trialData$survey_year[ condition for survey_2007 ] <- "survey_2007"
     > trialData$survey_year[ condition for survey_2008 ] <- "survey_2008"
     > etc

HTH,
Eric

On Wed, Feb 21, 2018 at 10:33 PM, Kevin Wamae <[hidden email]<mailto:[hidden email]>> wrote:
Hi, I am having trouble trying to figure out why if_else is behaving the way it is, it may be my code or the way the data is structured.

Below is a snapshot of a database am working on and it represents a longitudinal survey of study participants in a trial with weekly follow up.

The variable "survey_start" represents the start of the study-defined one year follow up (which we called "survey_year").

I am trying to populate all subsequent entries for each participant, per survey year, with the entry "survey" followed by an underscore and the respective year, eg. survey_2014.

There are missing entries such as the participant represented here, wasn't available at the start of the 2015 survey. Also, some participants don’t have complete one-year follow ups but I still need to include them.

I have written two codes, first one fails while the second works, the only difference being I have reversed the order in which the entries are populated in the second code (from 2007-2016 to 2016-2007) and removed the if_else statement for 2015. Also noticed, that for the second code, which spans the years 2007-2016 (less 2015), if a participants entries start from 2010-2016, the code fails.

Kindly assist in figuring this out...or better yet, an alternative.

    trialData <- structure(list(study = c("site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
"site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
"site_1", "site_1"), studyno = c("child_1", "child_1", "child_1",
"child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
"child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
"child_1", "child_1"), date = structure(c(16078, 16085, 16092,
16098, 16104, 16115, 16121, 16129, 16135, 16140, 16146, 16156,
16162, 16168, 16177, 16185, 16191, 16195, 16203, 16210, 16217,
16225, 16234, 16237, 16246, 16253, 16262, 16269, 16278, 16283,
16288, 16297, 16304, 16311, 16319, 16326, 16332, 16337, 16346,
16353, 16360, 16366, 16370, 16381, 16384, 16395, 16399, 16407,
16415, 16422, 16444, 16452, 16454, 16467, 16474, 16477, 16484,
16490, 16501, 16508, 16514, 16520, 16529, 16533, 16539, 16550,
16556, 16564, 16566, 16578, 16582, 16593, 16599, 16604, 16613,
16620, 16623, 16635, 16636, 16654, 16660, 16666, 16673, 16681,
16688, 16693, 16702, 16706, 16714, 16721, 16728, 16734, 16745,
16749, 16757, 16764, 16769, 16778, 16785, 16792, 16805, 16812,
16819, 16830, 16832, 16839, 16846, 16856, 16862, 16867, 16877,
16884, 16890, 16898, 16904, 16912, 16917, 16923, 16936, 16938,
16953, 16960, 16966, 16973, 16980), class = "Date"), year = c(2014L,
2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
2014L, 2014L, 2014L, 2014L, 2015L, 2015L, 2015L, 2015L, 2015L,
2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L,
2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L,
2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L), month = c(1L,
1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L,
5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L,
8L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L,
12L, 12L, 12L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L,
4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 7L, 7L, 7L,
7L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 11L,
11L, 11L, 11L, 11L, 12L, 12L, 12L, 1L, 1L, 1L, 1L, 2L, 2L, 2L,
2L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 6L, 6L, 6L,
6L, 6L), survey_start = c("", "", "", "", "", "", "", "", "",
"", "", "", "", "", "", "", "", "Y", "", "", "", "", "", "",
"", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
"", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
"", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
"", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
"", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
"", "", "", "", "", "", "Y", "", "", "", "", "", "", "", "",
"", "", "", "", "", "")), class = "data.frame", row.names = c(NA,
-125L), .Names = c("study", "studyno", "date", "year", "month",
"survey_start"))


code 1 fails:

trialData <- trialData %>% arrange(studyno, date) %>% group_by(studyno) %>%
mutate(survey_year = if_else(date >= date[survey_start == "Y" & year == 2007 & study == "site_1"][1] & date < date[month == 5 & year == 2008 & study == "site_1"][1], "survey_2007",
                     if_else(date >= date[survey_start == "Y" & year == 2008 & study == "site_1"][1] & date < date[month == 4 & year == 2009 & study == "site_1"][1], "survey_2008",
                     if_else(date >= date[survey_start == "Y" & year == 2009 & study == "site_1"][1] & date < date[month == 5 & year == 2010 & study == "site_1"][1], "survey_2009",
                     if_else(date >= date[survey_start == "Y" & year == 2010 & study == "site_1"][1] & date < date[month == 5 & year == 2011 & study == "site_1"][1], "survey_2010",
                     if_else(date >= date[survey_start == "Y" & year == 2011 & study == "site_1"][1] & date < date[month == 4 & year == 2012 & study == "site_1"][1], "survey_2011",
                     if_else(date >= date[survey_start == "Y" & year == 2012 & study == "site_1"][1] & date < date[month == 4 & year == 2013 & study == "site_1"][1], "survey_2012",
                     if_else(date >= date[survey_start == "Y" & year == 2013 & study == "site_1"][1] & date < date[month == 4 & year == 2014 & study == "site_1"][1], "survey_2013",
                     if_else(date >= date[survey_start == "Y" & year == 2014 & study == "site_1"][1] & date < date[month == 4 & year == 2015 & study == "site_1"][1], "survey_2014",
                     if_else(date >= date[survey_start == "Y" & year == 2015 & study == "site_1"][1] & date < date[month == 3 & year == 2016 & study == "site_1"][1], "survey_2015",
                     if_else(date >= date[survey_start == "Y" & year == 2016 & study == "site_1"][1], "survey_2016","")))))))))))

code 2 works:

    trialData <- trialData %>% arrange(studyno, date) %>% group_by(studyno) %>%
  mutate(survey_year = if_else(date >= date[survey_start == "Y" & year == 2016 & study == "site_1"][1]                                                               , "survey_2016",
                           if_else(date >= date[survey_start == "Y" & year == 2014 & study == "site_1"][1] & date < date[month == 4 & year == 2015 & study == "site_1"][1], "survey_2014",
                           if_else(date >= date[survey_start == "Y" & year == 2013 & study == "site_1"][1] & date < date[month == 4 & year == 2014 & study == "site_1"][1], "survey_2013",
                           if_else(date >= date[survey_start == "Y" & year == 2012 & study == "site_1"][1] & date < date[month == 4 & year == 2013 & study == "site_1"][1], "survey_2012",
                           if_else(date >= date[survey_start == "Y" & year == 2011 & study == "site_1"][1] & date < date[month == 4 & year == 2012 & study == "site_1"][1], "survey_2011",
                           if_else(date >= date[survey_start == "Y" & year == 2010 & study == "site_1"][1] & date < date[month == 5 & year == 2011 & study == "site_1"][1], "survey_2010",
                           if_else(date >= date[survey_start == "Y" & year == 2009 & study == "site_1"][1] & date < date[month == 5 & year == 2010 & study == "site_1"][1], "survey_2009",
                           if_else(date >= date[survey_start == "Y" & year == 2008 & study == "site_1"][1] & date < date[month == 4 & year == 2009 & study == "site_1"][1], "survey_2008",
                           if_else(date >= date[survey_start == "Y" & year == 2007 & study == "site_1"][1] & date < date[month == 5 & year == 2008 & study == "site_1"][1], "survey_2007",""))))))))))

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Re: alternative for multiple if_else statements

S Ellison-2
In reply to this post by kevinkariuki
That many ifelse statements is obviously rather a pain.

Would you not have got what you want with

... paste("survey", year, sep="_")
?

If that is not what you're looking for (eg because 'year' is the observation year and not the study start year), perhaps something that picks the minimum year for a subject or other relevant group might work? For example
paste("survey", ave(year, studyno, FUN=min), sep="_")


S Ellison

> -----Original Message-----
> From: R-help [mailto:[hidden email]] On Behalf Of Kevin
> Wamae
> Sent: 21 February 2018 20:34
> To: [hidden email]
> Subject: [R] alternative for multiple if_else statements
>
> Hi, I am having trouble trying to figure out why if_else is behaving the way it is,
> it may be my code or the way the data is structured.
>
> Below is a snapshot of a database am working on and it represents a
> longitudinal survey of study participants in a trial with weekly follow up.
>
> The variable "survey_start" represents the start of the study-defined one year
> follow up (which we called "survey_year").
>
> I am trying to populate all subsequent entries for each participant, per survey
> year, with the entry "survey" followed by an underscore and the respective
> year, eg. survey_2014.
>
> There are missing entries such as the participant represented here, wasn't
> available at the start of the 2015 survey. Also, some participants don’t have
> complete one-year follow ups but I still need to include them.
>
> I have written two codes, first one fails while the second works, the only
> difference being I have reversed the order in which the entries are populated in
> the second code (from 2007-2016 to 2016-2007) and removed the if_else
> statement for 2015. Also noticed, that for the second code, which spans the
> years 2007-2016 (less 2015), if a participants entries start from 2010-2016, the
> code fails.
>
> Kindly assist in figuring this out...or better yet, an alternative.
>
>     trialData <- structure(list(study = c("site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
> "site_1"), studyno = c("child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1", "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
> "child_1"), date = structure(c(16078, 16085, 16092, 16098, 16104, 16115,
> 16121, 16129, 16135, 16140, 16146, 16156, 16162, 16168, 16177, 16185,
> 16191, 16195, 16203, 16210, 16217, 16225, 16234, 16237, 16246, 16253,
> 16262, 16269, 16278, 16283, 16288, 16297, 16304, 16311, 16319, 16326,
> 16332, 16337, 16346, 16353, 16360, 16366, 16370, 16381, 16384, 16395,
> 16399, 16407, 16415, 16422, 16444, 16452, 16454, 16467, 16474, 16477,
> 16484, 16490, 16501, 16508, 16514, 16520, 16529, 16533, 16539, 16550,
> 16556, 16564, 16566, 16578, 16582, 16593, 16599, 16604, 16613, 16620,
> 16623, 16635, 16636, 16654, 16660, 16666, 16673, 16681, 16688, 16693,
> 16702, 16706, 16714, 16721, 16728, 16734, 16745, 16749, 16757, 16764,
> 16769, 16778, 16785, 16792, 16805, 16812, 16819, 16830, 16832, 16839,
> 16846, 16856, 16862, 16867, 16877, 16884, 16890, 16898, 16904, 16912,
> 16917, 16923, 16936, 16938, 16953, 16960, 16966, 16973, 16980), class =
> "Date"), year = c(2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
> 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
> 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
> 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
> 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2015L, 2015L,
> 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
> 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
> 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
> 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
> 2015L, 2015L, 2015L, 2015L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L,
> 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L,
> 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L), month = c(1L, 1L, 1L, 1L, 2L,
> 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 7L, 7L,
> 7L, 7L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L,
> 11L, 12L, 12L, 12L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L,
> 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 10L,
> 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 1L, 1L, 1L, 1L, 2L, 2L, 2L,
> 2L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L), survey_start =
> c("", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "Y", "", "", "", "", "", "", "",
> "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
> "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
> "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
> "", "", "", "", "", "", "", "Y", "", "", "", "", "", "", "", "", "", "", "", "", "", "")), class =
> "data.frame", row.names = c(NA, -125L), .Names = c("study", "studyno", "date",
> "year", "month",
> "survey_start"))
>
>
> code 1 fails:
>
> trialData <- trialData %>% arrange(studyno, date) %>% group_by(studyno) %>%
> mutate(survey_year = if_else(date >= date[survey_start == "Y" & year == 2007
> & study == "site_1"][1] & date < date[month == 5 & year == 2008 & study ==
> "site_1"][1], "survey_2007",
>                      if_else(date >= date[survey_start == "Y" & year == 2008 & study
> == "site_1"][1] & date < date[month == 4 & year == 2009 & study ==
> "site_1"][1], "survey_2008",
>                      if_else(date >= date[survey_start == "Y" & year == 2009 & study
> == "site_1"][1] & date < date[month == 5 & year == 2010 & study ==
> "site_1"][1], "survey_2009",
>                      if_else(date >= date[survey_start == "Y" & year == 2010 & study
> == "site_1"][1] & date < date[month == 5 & year == 2011 & study ==
> "site_1"][1], "survey_2010",
>                      if_else(date >= date[survey_start == "Y" & year == 2011 & study
> == "site_1"][1] & date < date[month == 4 & year == 2012 & study ==
> "site_1"][1], "survey_2011",
>                      if_else(date >= date[survey_start == "Y" & year == 2012 & study
> == "site_1"][1] & date < date[month == 4 & year == 2013 & study ==
> "site_1"][1], "survey_2012",
>                      if_else(date >= date[survey_start == "Y" & year == 2013 & study
> == "site_1"][1] & date < date[month == 4 & year == 2014 & study ==
> "site_1"][1], "survey_2013",
>                      if_else(date >= date[survey_start == "Y" & year == 2014 & study
> == "site_1"][1] & date < date[month == 4 & year == 2015 & study ==
> "site_1"][1], "survey_2014",
>                      if_else(date >= date[survey_start == "Y" & year == 2015 & study
> == "site_1"][1] & date < date[month == 3 & year == 2016 & study ==
> "site_1"][1], "survey_2015",
>                      if_else(date >= date[survey_start == "Y" & year == 2016 & study
> == "site_1"][1], "survey_2016","")))))))))))
>
> code 2 works:
>
>     trialData <- trialData %>% arrange(studyno, date) %>% group_by(studyno)
> %>%
>   mutate(survey_year = if_else(date >= date[survey_start == "Y" & year == 2016
> & study == "site_1"][1]                                                               , "survey_2016",
>                            if_else(date >= date[survey_start == "Y" & year == 2014 &
> study == "site_1"][1] & date < date[month == 4 & year == 2015 & study ==
> "site_1"][1], "survey_2014",
>                            if_else(date >= date[survey_start == "Y" & year == 2013 &
> study == "site_1"][1] & date < date[month == 4 & year == 2014 & study ==
> "site_1"][1], "survey_2013",
>                            if_else(date >= date[survey_start == "Y" & year == 2012 &
> study == "site_1"][1] & date < date[month == 4 & year == 2013 & study ==
> "site_1"][1], "survey_2012",
>                            if_else(date >= date[survey_start == "Y" & year == 2011 &
> study == "site_1"][1] & date < date[month == 4 & year == 2012 & study ==
> "site_1"][1], "survey_2011",
>                            if_else(date >= date[survey_start == "Y" & year == 2010 &
> study == "site_1"][1] & date < date[month == 5 & year == 2011 & study ==
> "site_1"][1], "survey_2010",
>                            if_else(date >= date[survey_start == "Y" & year == 2009 &
> study == "site_1"][1] & date < date[month == 5 & year == 2010 & study ==
> "site_1"][1], "survey_2009",
>                            if_else(date >= date[survey_start == "Y" & year == 2008 &
> study == "site_1"][1] & date < date[month == 4 & year == 2009 & study ==
> "site_1"][1], "survey_2008",
>                            if_else(date >= date[survey_start == "Y" & year == 2007 &
> study == "site_1"][1] & date < date[month == 5 & year == 2008 & study ==
> "site_1"][1], "survey_2007",""))))))))))
>
> ________________________________________________________________
> ______
>
> This e-mail contains information which is confidential. It is intended only for the
> use of the named recipient. If you have received this e-mail in error, please let
> us know by replying to the sender, and immediately delete it from your system.
> Please note, that in these circumstances, the use, disclosure, distribution or
> copying of this information is strictly prohibited. KEMRI-Wellcome Trust
> Programme cannot accept any responsibility for the  accuracy or completeness
> of this message as it has been transmitted over a public network. Although the
> Programme has taken reasonable precautions to ensure no viruses are present
> in emails, it cannot accept responsibility for any loss or damage arising from
> the use of the email or attachments. Any views expressed in this message are
> those of the individual sender, except where the sender specifically states them
> to be the views of KEMRI-Wellcome Trust Programme.
> ________________________________________________________________
> ______
>
> [[alternative HTML version deleted]]
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Re: alternative for multiple if_else statements

kevinkariuki
Dear Ellison, thank you for the feedback, we replaced dplyr::if_else with dplyr::case_when and it seems to do the trick.

Still, we have to write several statements to match all the respective years but it's working.

Let me see how we can implement your suggestion.

Regards
------------------
Kevin Wamae
On 26/02/2018, 14:57, "S Ellison" <[hidden email]> wrote:

    That many ifelse statements is obviously rather a pain.
   
    Would you not have got what you want with
   
    ... paste("survey", year, sep="_")
    ?
   
    If that is not what you're looking for (eg because 'year' is the observation year and not the study start year), perhaps something that picks the minimum year for a subject or other relevant group might work? For example
    paste("survey", ave(year, studyno, FUN=min), sep="_")
   
   
    S Ellison
   
    > -----Original Message-----
    > From: R-help [mailto:[hidden email]] On Behalf Of Kevin
    > Wamae
    > Sent: 21 February 2018 20:34
    > To: [hidden email]
    > Subject: [R] alternative for multiple if_else statements
    >
    > Hi, I am having trouble trying to figure out why if_else is behaving the way it is,
    > it may be my code or the way the data is structured.
    >
    > Below is a snapshot of a database am working on and it represents a
    > longitudinal survey of study participants in a trial with weekly follow up.
    >
    > The variable "survey_start" represents the start of the study-defined one year
    > follow up (which we called "survey_year").
    >
    > I am trying to populate all subsequent entries for each participant, per survey
    > year, with the entry "survey" followed by an underscore and the respective
    > year, eg. survey_2014.
    >
    > There are missing entries such as the participant represented here, wasn't
    > available at the start of the 2015 survey. Also, some participants don’t have
    > complete one-year follow ups but I still need to include them.
    >
    > I have written two codes, first one fails while the second works, the only
    > difference being I have reversed the order in which the entries are populated in
    > the second code (from 2007-2016 to 2016-2007) and removed the if_else
    > statement for 2015. Also noticed, that for the second code, which spans the
    > years 2007-2016 (less 2015), if a participants entries start from 2010-2016, the
    > code fails.
    >
    > Kindly assist in figuring this out...or better yet, an alternative.
    >
    >     trialData <- structure(list(study = c("site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
    > "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1", "site_1",
    > "site_1"), studyno = c("child_1", "child_1", "child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
    > "child_1", "child_1", "child_1", "child_1", "child_1", "child_1", "child_1",
    > "child_1"), date = structure(c(16078, 16085, 16092, 16098, 16104, 16115,
    > 16121, 16129, 16135, 16140, 16146, 16156, 16162, 16168, 16177, 16185,
    > 16191, 16195, 16203, 16210, 16217, 16225, 16234, 16237, 16246, 16253,
    > 16262, 16269, 16278, 16283, 16288, 16297, 16304, 16311, 16319, 16326,
    > 16332, 16337, 16346, 16353, 16360, 16366, 16370, 16381, 16384, 16395,
    > 16399, 16407, 16415, 16422, 16444, 16452, 16454, 16467, 16474, 16477,
    > 16484, 16490, 16501, 16508, 16514, 16520, 16529, 16533, 16539, 16550,
    > 16556, 16564, 16566, 16578, 16582, 16593, 16599, 16604, 16613, 16620,
    > 16623, 16635, 16636, 16654, 16660, 16666, 16673, 16681, 16688, 16693,
    > 16702, 16706, 16714, 16721, 16728, 16734, 16745, 16749, 16757, 16764,
    > 16769, 16778, 16785, 16792, 16805, 16812, 16819, 16830, 16832, 16839,
    > 16846, 16856, 16862, 16867, 16877, 16884, 16890, 16898, 16904, 16912,
    > 16917, 16923, 16936, 16938, 16953, 16960, 16966, 16973, 16980), class =
    > "Date"), year = c(2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
    > 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
    > 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
    > 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
    > 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2015L, 2015L,
    > 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
    > 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
    > 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
    > 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L, 2015L,
    > 2015L, 2015L, 2015L, 2015L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L,
    > 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L,
    > 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L), month = c(1L, 1L, 1L, 1L, 2L,
    > 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 7L, 7L,
    > 7L, 7L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L,
    > 11L, 12L, 12L, 12L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L,
    > 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 10L,
    > 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 1L, 1L, 1L, 1L, 2L, 2L, 2L,
    > 2L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L), survey_start =
    > c("", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "Y", "", "", "", "", "", "", "",
    > "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
    > "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
    > "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
    > "", "", "", "", "", "", "", "Y", "", "", "", "", "", "", "", "", "", "", "", "", "", "")), class =
    > "data.frame", row.names = c(NA, -125L), .Names = c("study", "studyno", "date",
    > "year", "month",
    > "survey_start"))
    >
    >
    > code 1 fails:
    >
    > trialData <- trialData %>% arrange(studyno, date) %>% group_by(studyno) %>%
    > mutate(survey_year = if_else(date >= date[survey_start == "Y" & year == 2007
    > & study == "site_1"][1] & date < date[month == 5 & year == 2008 & study ==
    > "site_1"][1], "survey_2007",
    >                      if_else(date >= date[survey_start == "Y" & year == 2008 & study
    > == "site_1"][1] & date < date[month == 4 & year == 2009 & study ==
    > "site_1"][1], "survey_2008",
    >                      if_else(date >= date[survey_start == "Y" & year == 2009 & study
    > == "site_1"][1] & date < date[month == 5 & year == 2010 & study ==
    > "site_1"][1], "survey_2009",
    >                      if_else(date >= date[survey_start == "Y" & year == 2010 & study
    > == "site_1"][1] & date < date[month == 5 & year == 2011 & study ==
    > "site_1"][1], "survey_2010",
    >                      if_else(date >= date[survey_start == "Y" & year == 2011 & study
    > == "site_1"][1] & date < date[month == 4 & year == 2012 & study ==
    > "site_1"][1], "survey_2011",
    >                      if_else(date >= date[survey_start == "Y" & year == 2012 & study
    > == "site_1"][1] & date < date[month == 4 & year == 2013 & study ==
    > "site_1"][1], "survey_2012",
    >                      if_else(date >= date[survey_start == "Y" & year == 2013 & study
    > == "site_1"][1] & date < date[month == 4 & year == 2014 & study ==
    > "site_1"][1], "survey_2013",
    >                      if_else(date >= date[survey_start == "Y" & year == 2014 & study
    > == "site_1"][1] & date < date[month == 4 & year == 2015 & study ==
    > "site_1"][1], "survey_2014",
    >                      if_else(date >= date[survey_start == "Y" & year == 2015 & study
    > == "site_1"][1] & date < date[month == 3 & year == 2016 & study ==
    > "site_1"][1], "survey_2015",
    >                      if_else(date >= date[survey_start == "Y" & year == 2016 & study
    > == "site_1"][1], "survey_2016","")))))))))))
    >
    > code 2 works:
    >
    >     trialData <- trialData %>% arrange(studyno, date) %>% group_by(studyno)
    > %>%
    >   mutate(survey_year = if_else(date >= date[survey_start == "Y" & year == 2016
    > & study == "site_1"][1]                                                               , "survey_2016",
    >                            if_else(date >= date[survey_start == "Y" & year == 2014 &
    > study == "site_1"][1] & date < date[month == 4 & year == 2015 & study ==
    > "site_1"][1], "survey_2014",
    >                            if_else(date >= date[survey_start == "Y" & year == 2013 &
    > study == "site_1"][1] & date < date[month == 4 & year == 2014 & study ==
    > "site_1"][1], "survey_2013",
    >                            if_else(date >= date[survey_start == "Y" & year == 2012 &
    > study == "site_1"][1] & date < date[month == 4 & year == 2013 & study ==
    > "site_1"][1], "survey_2012",
    >                            if_else(date >= date[survey_start == "Y" & year == 2011 &
    > study == "site_1"][1] & date < date[month == 4 & year == 2012 & study ==
    > "site_1"][1], "survey_2011",
    >                            if_else(date >= date[survey_start == "Y" & year == 2010 &
    > study == "site_1"][1] & date < date[month == 5 & year == 2011 & study ==
    > "site_1"][1], "survey_2010",
    >                            if_else(date >= date[survey_start == "Y" & year == 2009 &
    > study == "site_1"][1] & date < date[month == 5 & year == 2010 & study ==
    > "site_1"][1], "survey_2009",
    >                            if_else(date >= date[survey_start == "Y" & year == 2008 &
    > study == "site_1"][1] & date < date[month == 4 & year == 2009 & study ==
    > "site_1"][1], "survey_2008",
    >                            if_else(date >= date[survey_start == "Y" & year == 2007 &
    > study == "site_1"][1] & date < date[month == 5 & year == 2008 & study ==
    > "site_1"][1], "survey_2007",""))))))))))
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