[R] Converting "factors" to "numeric" in a dataframe

[Petr PIKAL]

Hi

as you did not provide data it is hard to say what is wrong.

You can see that it is working on dates similar what you described.

 test <- data.frame(x=letters[1:10], y=rnorm(10), z=runif(10))
 test
   x           y          z
1  a  0.09980806 0.32211567
2  b  0.70559139 0.32204076
3  c -1.50514354 0.28267338
............

testnum<-data.frame(t(test[,-1]))
names(testnum)<-test[,1]
testnum
           a         b          c         d         e           f g
y 0.09980806 0.7055914 -1.5051435 0.4421971 0.1041789 -1.54683799 
0.3405809
z 0.32211567 0.3220408  0.2826734 0.8819248 0.5189688  0.05171076 
0.4583101
          h          i         j
y 2.3137394 -0.4953507 0.7668954
z 0.7515886  0.5876854 0.4192073


Regards
Petr



Michael Glanville <michael.glanville19 at googlemail.com> napsal dne 
18.03.2010 12:37:21:

> Thanks Petr, your suggestion has worked to a certain extent. The only 
issue is
> that the sample names don't appear in the final dataframe. However, I 
will 
> persevere and see what I can do.
>  
> Many thanks for you invaluable help,
>  
> Mike

> On 18 March 2010 11:23, Petr PIKAL <petr.pikal at precheza.cz> wrote:
> Hi Michael
> 
> 
> r-help-bounces at r-project.org napsal dne 18.03.2010 12:02:19:
> 
> > Hi petr,
> >
> > Thanks for the reply.
> >
> > My original data is in "comma separated variable" (csv) format with
> variable
> > names in column 1 and numeric data in the remaining columns. The
> "read.csv"
> > command reads this data set into object name "pcrdata" as a dataframe
> where
> > the variable names and numeric data are conserved (as required).
> However,

> So why not transpose only numeric part, then set it to data frame and 
add
> column names from first column.
> 
> Something like (untested)
> 
> pcrdata<-read.csv("File_path",header=FALSE)

> numdata<-t(pcrdata[,-1])
> numdata<-data.frame(numdata)
> names(numdata) <- pcrdata[,1]
> 
> Regards
> Petr
>