Importing data by targeting in filenames inside a nested list

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Importing data by targeting in filenames inside a nested list

BARLAS Marios 247554
Hello everyone,

So, rookie me is trying to write a smart code, so here's what I'm doing:

I have a list of a couple of hundrend files, some of which refer to different experiments.
The naming of the file refers to the experiment and the serial number to the topological reference on my sample.

Performing my data analysis in 1 file class at a time looks OK, so I'm trying to generalize my code.
I figured out I could group them together by performing a pattern read on a nested list, which works for getting the file names and grouping them but then I'm getting some problems when I try to perform the import from the nested list. My code looks like this:

# Vector containing file name patterns to be read and grouped together
measurement_filenames <- c("*Q_Read_prist*", "*Quasi_Forming*", "*read_set#1*","*Q_Reset_pForm#1*","*read_reset#2*","*quasistatic_set*", "*read_set#2*", "*quasistatic_reset#2*" )

# Create a list of the files to be read in sorted in a natural fashion
electrical_meas_files <- lapply(measurement_filenames, function(x) naturalsort(list.files(path, pattern=x)))
names(electrical_meas_files) <- measurement_filenames

# Perform data import for each element

for(i in 1:length(measurement_filenames))
{
  electrical_meas_raw_data[[i]] <- lapply(electrical_meas_files[[i]], function(x) read.xlsx(file=x, sheetName="Data", header=TRUE, as.data.frame =TRUE,  stringsAsFactors = F) )
}



My idea is to come up with a nested list of the structure
{list of different experiments}
        {list of all sites where the experiment was run}
                {set of dataframes with all data for each site}


Do I make sense or am I over-complicating the situation ?


Any ideas how I could write this piece of code or improve it ?

Thanks in advance,
Mario

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Re: Importing data by targeting in filenames inside a nested list

Ivan Calandra-4
Hi Mario,

It is at the limit of my skills so I'm not sure this will be a real
solution. But it might help you anyway (and there will be more competent
people anyway).

What does not make sense to me is why you set the names of your files
and then use them to list them with list.files()
What don't you just do
electrical_meas_files <- list.files(path, pattern)
and define a pattern if you don't want to read all of them?

For the next step, I don't think you need to lapply() at all; it is
already in the loop. I usually prefer loops to lapply() because I find
it more intuitive. But your lapply() solution would work as well.

So I think that your code is somewhat redundant (but I might have missed
something). This should do it:

#first define your output data list that will be iteratively filled,
this will increase speed
electrical_meas_raw_data <- vector(mode="list",
length=length(electrical_meas_files))

#then read the files (seq_along() is great)
for(i in seq_along(measurement_filenames)){
     electrical_meas_raw_data[[i]] <-
read.xlsx(file=electrical_meas_files[[i]], sheetName="Data",
header=TRUE, as.data.frame =TRUE, stringsAsFactors = F)
}

HTH,
Ivan

--
Ivan Calandra, PhD
University of Reims Champagne-Ardenne
GEGENAA - EA 3795
CREA - 2 esplanade Roland Garros
51100 Reims, France
+33(0)3 26 77 36 89
[hidden email]
https://www.researchgate.net/profile/Ivan_Calandra

Le 08/12/15 12:29, BARLAS Marios 247554 a écrit :

> Hello everyone,
>
> So, rookie me is trying to write a smart code, so here's what I'm doing:
>
> I have a list of a couple of hundrend files, some of which refer to different experiments.
> The naming of the file refers to the experiment and the serial number to the topological reference on my sample.
>
> Performing my data analysis in 1 file class at a time looks OK, so I'm trying to generalize my code.
> I figured out I could group them together by performing a pattern read on a nested list, which works for getting the file names and grouping them but then I'm getting some problems when I try to perform the import from the nested list. My code looks like this:
>
> # Vector containing file name patterns to be read and grouped together
> measurement_filenames <- c("*Q_Read_prist*", "*Quasi_Forming*", "*read_set#1*","*Q_Reset_pForm#1*","*read_reset#2*","*quasistatic_set*", "*read_set#2*", "*quasistatic_reset#2*" )
>
> # Create a list of the files to be read in sorted in a natural fashion
> electrical_meas_files <- lapply(measurement_filenames, function(x) naturalsort(list.files(path, pattern=x)))
> names(electrical_meas_files) <- measurement_filenames
>
> # Perform data import for each element
>
> for(i in 1:length(measurement_filenames))
> {
>    electrical_meas_raw_data[[i]] <- lapply(electrical_meas_files[[i]], function(x) read.xlsx(file=x, sheetName="Data", header=TRUE, as.data.frame =TRUE,  stringsAsFactors = F) )
> }
>
>
>
> My idea is to come up with a nested list of the structure
> {list of different experiments}
> {list of all sites where the experiment was run}
> {set of dataframes with all data for each site}
>
>
> Do I make sense or am I over-complicating the situation ?
>
>
> Any ideas how I could write this piece of code or improve it ?
>
> Thanks in advance,
> Mario
>
> ______________________________________________
> [hidden email] mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>

______________________________________________
[hidden email] mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
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Re: Importing data by targeting in filenames inside a nested list

PIKAL Petr
In reply to this post by BARLAS Marios 247554
Hi

I did not see any answer so I give it a try. Your approach seems to be OK. However you probably need to polish your code to get the correct part of nested list.

> lll<-list(a=rnorm(10), b= list(x=1:10, y<-letters))

> lll[[1]]
 [1] -0.1876418  1.5933030 -0.1799642  0.1713959  1.1079227 -0.5885820
 [7] -1.1629393 -1.7157378 -1.5088232 -0.1150207

> lll[[2]]
$x
 [1]  1  2  3  4  5  6  7  8  9 10

[[2]]
 [1] "a" "b" "c" "d" "e" "f" "g" "h" "i" "j" "k" "l" "m" "n" "o" "p" "q" "r" "s"
[20] "t" "u" "v" "w" "x" "y" "z"

> lll[[2]][[1]]
 [1]  1  2  3  4  5  6  7  8  9 10

> lll[[2]][[2]]
 [1] "a" "b" "c" "d" "e" "f" "g" "h" "i" "j" "k" "l" "m" "n" "o" "p" "q" "r" "s"
[20] "t" "u" "v" "w" "x" "y" "z"
>

Cheers
Petr


> -----Original Message-----
> From: R-help [mailto:[hidden email]] On Behalf Of BARLAS
> Marios 247554
> Sent: Tuesday, December 08, 2015 12:30 PM
> To: [hidden email]
> Subject: [R] Importing data by targeting in filenames inside a nested
> list
>
> Hello everyone,
>
> So, rookie me is trying to write a smart code, so here's what I'm
> doing:
>
> I have a list of a couple of hundrend files, some of which refer to
> different experiments.
> The naming of the file refers to the experiment and the serial number
> to the topological reference on my sample.
>
> Performing my data analysis in 1 file class at a time looks OK, so I'm
> trying to generalize my code.
> I figured out I could group them together by performing a pattern read
> on a nested list, which works for getting the file names and grouping
> them but then I'm getting some problems when I try to perform the
> import from the nested list. My code looks like this:
>
> # Vector containing file name patterns to be read and grouped together
> measurement_filenames <- c("*Q_Read_prist*", "*Quasi_Forming*",
> "*read_set#1*","*Q_Reset_pForm#1*","*read_reset#2*","*quasistatic_set*"
> , "*read_set#2*", "*quasistatic_reset#2*" )
>
> # Create a list of the files to be read in sorted in a natural fashion
> electrical_meas_files <- lapply(measurement_filenames, function(x)
> naturalsort(list.files(path, pattern=x)))
> names(electrical_meas_files) <- measurement_filenames
>
> # Perform data import for each element
>
> for(i in 1:length(measurement_filenames))
> {
>   electrical_meas_raw_data[[i]] <- lapply(electrical_meas_files[[i]],
> function(x) read.xlsx(file=x, sheetName="Data", header=TRUE,
> as.data.frame =TRUE,  stringsAsFactors = F) )
> }
>
>
>
> My idea is to come up with a nested list of the structure
> {list of different experiments}
>       {list of all sites where the experiment was run}
>               {set of dataframes with all data for each site}
>
>
> Do I make sense or am I over-complicating the situation ?
>
>
> Any ideas how I could write this piece of code or improve it ?
>
> Thanks in advance,
> Mario
>
> ______________________________________________
> [hidden email] mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-
> guide.html
> and provide commented, minimal, self-contained, reproducible code.

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[hidden email] mailing list -- To UNSUBSCRIBE and more, see
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.