convert factor data to numeric

[orkun]

hello

 could you give me a hint to convert data in factor type to numeric (float) ?

  regards

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[D. Rizopoulos]

check the following:

http://cran.r-project.org/doc/FAQ/R-FAQ.html#How-do-I-convert-factors-to-numeric_003f


Best,
Dimitris


Ahmet Temiz wrote:

> hello
>
>  could you give me a hint to convert data in factor type to numeric (float) ?
>
>   regards
>
> --
> Open WebMail Project (http://openwebmail.org)
>
>

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Dimitris Rizopoulos
Assistant Professor
Department of Biostatistics
Erasmus University Medical Center

Address: PO Box 2040, 3000 CA Rotterdam, the Netherlands
Tel: [phone]
Fax: [phone]

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[Stephan Devriese]

On 01/13/2010 10:47 AM, Ahmet Temiz wrote:

> hello
>
>  could you give me a hint to convert data in factor type to numeric (float) ?
>
>   regards
>
> --
> Open WebMail Project (http://openwebmail.org)
>
>

you could try as.numeric but without more details it is difficult to see
if this will work. How did you end up with a factor (e.g. through import)?

Stephan

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[Peter Ehlers]

S Devriese wrote:

> On 01/13/2010 10:47 AM, Ahmet Temiz wrote:
>> hello
>>
>>  could you give me a hint to convert data in factor type to numeric (float) ?
>>
>>   regards
>>
>> --
>> Open WebMail Project (http://openwebmail.org)
>>
>>
> you could try as.numeric but without more details it is difficult to see
> if this will work. How did you end up with a factor (e.g. through import)?
>

No, don't use as.numeric(). Do follow Dimitris' advice.
But the question of how you got the factor data is good; you
can usually avoid getting factors to begin with.

  -Peter Ehlers

> Stephan
>
> ______________________________________________
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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.
>
>

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Peter Ehlers
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403.202.3921

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[Nathalie Yauschew-Raguenes]

Hello,

I find a way to convert data in factor type to numeric :
data_numeric <- as.numeric(as.character(data_factor)).
It's treaky but works.


Peter Ehlers a écrit :

> S Devriese wrote:
>> On 01/13/2010 10:47 AM, Ahmet Temiz wrote:
>>> hello
>>>
>>>  could you give me a hint to convert data in factor type to numeric
>>> (float) ?
>>>
>>>   regards
>>>
>>> --
>>> Open WebMail Project (http://openwebmail.org)
>>>
>>>
>> you could try as.numeric but without more details it is difficult to see
>> if this will work. How did you end up with a factor (e.g. through
>> import)?
>>
> No, don't use as.numeric(). Do follow Dimitris' advice.
> But the question of how you got the factor data is good; you
> can usually avoid getting factors to begin with.
>
>  -Peter Ehlers
>
>> Stephan
>>
>> ______________________________________________
>> [hidden email] mailing list
>> 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.
>>
>>
>

--
Nathalie YAUSCHEW-RAGUENES
Ph.D Student

Unité de Recherches Ecologie Fonctionnelle et Physique de l'Environnement (EPHYSE)

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[Stephan Devriese]

On 01/13/2010 05:41 PM, Peter Ehlers wrote:

> S Devriese wrote:
>> On 01/13/2010 10:47 AM, Ahmet Temiz wrote:
>>> hello
>>>
>>>  could you give me a hint to convert data in factor type to numeric
>>> (float) ?
>>>
>>>   regards
>>>
>>> --
>>> Open WebMail Project (http://openwebmail.org)
>>>
>>>
>> you could try as.numeric but without more details it is difficult to see
>> if this will work. How did you end up with a factor (e.g. through
>> import)?
>>
> No, don't use as.numeric(). Do follow Dimitris' advice.
> But the question of how you got the factor data is good; you
> can usually avoid getting factors to begin with.
>
>  -Peter Ehlers
>
>> Stephan
>>
>> ______________________________________________
>> [hidden email] mailing list
>> 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.
>>
>>
>

I know, slightly sloppy answer (see Dimitri's answer), but I hoped to
find out how he got the factor in the first place, because if it is an
import issue (and e,g. decimal character is different from the locale
decimal character) the FAQ answer might not work as expected.

Stephan

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[Rolf Turner]

On 14/01/2010, at 6:00 AM, Nathalie Yauschew-Raguenes wrote:

> Hello,
>
> I find a way to convert data in factor type to numeric :
> data_numeric <- as.numeric(as.character(data_factor)).
> It's treaky but works.

Possibly even more ``treaky'' but more efficient is:

        data_numeric <- as.numeric(levels(data_factor)[data_factor])

as has been pointed out quite a few times on this list.

        cheers,

                Rolf Turner

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[andreas]

I have yet another novice 'converting factors to numeric problem'.

The problem is as described by others: read data (using read.csv) in from excel.csv file and it turns out to be a factor in R. The data in execl only has 4 rows:

treat   absorb
0          1.8052
0.5       2.07075
1.0       2.2345

I read the object in as s1 and generated the following r-code and output trying a couple of things:



as.numeric(as.character(s1))
[1] NA
Warning:
> sapply(s1, class)
treat.absorb
    "factor"

> as.numeric(as.character(s1))
[1] NA
Warining:
NAs produced by conversion

> as.numeric(as.character(s1$absorb))
numeric(0)

> s1$absorb <- as.numeric(as.character(s1$absorb))
Error in `$<-.data.frame`(`*tmp*`, "absorb", value = numeric(0)) :
  replacement has 0 rows, data has 3

thanks for your consideration

Andreas

[jholtman]

If you read the data as posted in your email with read.csv, you
probably got this:

> s1 <- read.csv(textConnection("treat   absorb
+ 0          1.8052
+ 0.5       2.07075
+ 1.0       2.2345"))
> closeAllConnections()
> s1
     treat...absorb
1 0          1.8052
2 0.5       2.07075
3  1.0       2.2345
> str(s1)
'data.frame':   3 obs. of  1 variable:
 $ treat...absorb: Factor w/ 3 levels "0          1.8052",..: 1 2 3
>

Do an str(s1) on your object to see what it say.  You data did not
have a comma as a separator and your:

> sapply(s1, class)
treat.absorb
   "factor"

did show a funny column name (treat.absorb), so check your data and
post back what the str said about it.  What you probably wanted to do
with the data is the following:

> s1 <- read.table(textConnection("treat   absorb
+ 0          1.8052
+ 0.5       2.07075
+ 1.0       2.2345"), header = TRUE)
> closeAllConnections()
> str(s1)
'data.frame':   3 obs. of  2 variables:
 $ treat : num  0 0.5 1
 $ absorb: num  1.81 2.07 2.23
> s1
  treat  absorb
1   0.0 1.80520
2   0.5 2.07075
3   1.0 2.23450
>

now you probably have the right structure to process.

On Thu, Oct 14, 2010 at 9:53 PM, andreas <[hidden email]> wrote:

>
> I have yet another novice 'converting factors to numeric problem'.
>
> The problem is as described by others: read data (using read.csv) in from
> excel.csv file and it turns out to be a factor in R. The data in execl only
> has 4 rows:
>
> treat   absorb
> 0          1.8052
> 0.5       2.07075
> 1.0       2.2345
>
> I read the object in as s1 and generated the following r-code and output
> trying a couple of things:
>
>
>
> as.numeric(as.character(s1))
> [1] NA
> Warning:
>> sapply(s1, class)
> treat.absorb
>    "factor"
>
>> as.numeric(as.character(s1))
> [1] NA
> Warining:
> NAs produced by conversion
>
>> as.numeric(as.character(s1$absorb))
> numeric(0)
>
>> s1$absorb <- as.numeric(as.character(s1$absorb))
> Error in `$<-.data.frame`(`*tmp*`, "absorb", value = numeric(0)) :
>  replacement has 0 rows, data has 3
>
> thanks for your consideration
>
> Andreas
> --
> View this message in context: http://r.789695.n4.nabble.com/convert-factor-data-to-numeric-tp1012855p2996406.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
> [hidden email] mailing list
> 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.
>

--
Jim Holtman
Cincinnati, OH
[phone]

What is the problem that you are trying to solve?

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[andreas]

cheers for the quick reply.

Sorry I am getting a bit confused I have never used the anything else any from of extension on read.csv what I did was:

1. enter the data into excel and save it as comma delimited
2. then used: s1 <- read.csv("book1.csv")

If i try to run this

s1 <- read.table(textConnection("treat   absorb
+ 0          1.8052
+ 0.5       2.07075
+ 1.0       2.2345"), header = TRUE)

it comes with up with the following:

> source(.trPaths[7], echo=TRUE, max.deparse.length=150)
Fehler in source(.trPaths[7], echo = TRUE, max.deparse.length = 150) :
  Objekt '.trPaths' nicht gefunden

the way i have done is is the following

> s1 <- read.csv("Book1.csv")
> head(s1)
  treat.absorb
1     0;1.8052
2  0.5;2.07075
3     1;2.2345
> str(s1)
'data.frame':   3 obs. of  1 variable:
 $ treat.absorb: Factor w/ 3 levels "0.5;2.07075",..: 2 1 3

hope that gives u a better insight

[Joshua Wiley-2]

On Thu, Oct 14, 2010 at 8:41 PM, andreas <[hidden email]> wrote:

>
> cheers for the quick reply.
>
> Sorry I am getting a bit confused I have never used the anything else any
> from of extension on read.csv what I did was:
>
> 1. enter the data into excel and save it as comma delimited
> 2. then used: s1 <- read.csv("book1.csv")
>
> If i try to run this
>
> s1 <- read.table(textConnection("treat   absorb
> + 0          1.8052
> + 0.5       2.07075
> + 1.0       2.2345"), header = TRUE)
>
> it comes with up with the following:
>
>> source(.trPaths[7], echo=TRUE, max.deparse.length=150)
> Fehler in source(.trPaths[7], echo = TRUE, max.deparse.length = 150) :
>  Objekt '.trPaths' nicht gefunden
>
> the way i have done is is the following
>
>> s1 <- read.csv("Book1.csv")
>> head(s1)
>  treat.absorb
> 1     0;1.8052
> 2  0.5;2.07075
> 3     1;2.2345
>> str(s1)
> 'data.frame':   3 obs. of  1 variable:
>  $ treat.absorb: Factor w/ 3 levels "0.5;2.07075",..: 2 1 3

The semicolons ";" suggest your data may not actually (or only) be
comma separated.  Does this produce any better results?

read.table("Book1.csv", sep = ";", stringsAsFactors = FALSE)

--Josh

>
> hope that gives u a better insight
>
>
>
>
> --
> View this message in context: http://r.789695.n4.nabble.com/convert-factor-data-to-numeric-tp1012855p2996471.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
> [hidden email] mailing list
> 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.
>

--
Joshua Wiley
Ph.D. Student, Health Psychology
University of California, Los Angeles
http://www.joshuawiley.com/

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[andreas]

cheers mate that worked fine

thanks a bunch

[andreas]

I had exactly the same problem with trying to import another .csv file. Turns out that I was working on a german computer that instead of using a comma when I saved it as .csv used a semicolon. Just saved it as a normal excel file, put it on a mates computer and saved it as .csv  Worked a treat..

[Gavin Simpson]

On Sat, 2010-10-16 at 16:16 -0700, andreas wrote:
> I had exactly the same problem with trying to import another .csv file. Turns
> out that I was working on a german computer that instead of using a comma
> when I saved it as .csv used a semicolon. Just saved it as a normal excel
> file, put it on a mates computer and saved it as .csv  Worked a treat..

I no longer have the earlier messages in this thread, but isn't the
above what read.csv2() was designed to overcome? And you could always
cook your own with read.table() and specify the separator and decimal
for example if neither read.csv nor read.csv2 were exactly what you
wanted.

HTH

G

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