On Wed, Oct 24, 2012 at 2:51 AM, priya [guest] <guest@bioconductor.org>wrote:

>
> ID_REF           GSM133971          GSM133972               GSM133973
> 244901_at   5.95461158752441E+001   1.88836498260498E+001
> 1.98215045928955E+001
> 244902_at   7.25400314331055E+001   2.65250205993652E+001
> 1.95321922302246E+001
> 244903_at   2.23291015625000E+002   1.78133636474609E+002
> 5.38166885375977E+001
> 244904_at   3.65505447387695E+001   3.04016351699829E+000
> 6.80462265014648E+000
> 244905_at   4.07523269653320E+001   2.58869285583496E+001
> 1.18088026046753E+001
> 244906_at   1.50184860229492E+002   5.39840278625488E+001
> 4.14917945861816E+001
> 244907_at   2.65190029144287E+001   1.39808797836304E+000
> 2.08662915229797E+000
> 244908_at   3.50156021118164E+000   1.05003893375397E+000
> 4.57657009363174E-001
> 244909_at   1.02663551330566E+002   1.42618169784546E+001
> 1.61735534667969E+001
> 244910_s_at 7.20161895751953E+001   1.57578134536743E+001
> 1.31729679107666E+001
> 244911_at   3.26349411010742E+001   7.23858451843262E+000
> 6.47778940200806E+000
>
>
> The above is the MAS5.0 normalized data and I need to read the data in R
> but getthe following error:
>
>  mydat=read.csv("trans.csv",header=T)
>  Error in make.names(col.names, unique = TRUE) :invalid multibyte string
> at '<ff><
>
>
Hello.  I assume you have read the R Input/Output manual here:

http://cran.r-project.org/doc/manuals/

The function read.csv is for reading comma-separated-values.  Your data
look to be tab-separated?  Try using read.delim or read.table.  Be sure to
read the help page for ALL functions you try to use, even if you are
following someone else's example.

As an aside, when posting to the list, please include the output of
sessionInfo() at least once in each email when you want help with
something.  It lets the rest of us know what version of R, what packages
(and versions) you are using, language settings, etc.

Sean




>  -- output of sessionInfo():
>
> I tried doing the following :
>
> de=read.table(textConnection("
>                                            ID_REF           GSM133971
>    GSM133972               GSM133973
> + 244901_at   5.95461158752441E+001   1.88836498260498E+001
> 1.98215045928955E+001
> + 244902_at   7.25400314331055E+001   2.65250205993652E+001
> 1.95321922302246E+001
> + 244903_at   2.23291015625000E+002   1.78133636474609E+002
> 5.38166885375977E+001
> + 244904_at   3.65505447387695E+001   3.04016351699829E+000
> 6.80462265014648E+000
> + 244905_at   4.07523269653320E+001   2.58869285583496E+001
> 1.18088026046753E+001
> + 244906_at   1.50184860229492E+002   5.39840278625488E+001
> 4.14917945861816E+001
> + 244907_at   2.65190029144287E+001   1.39808797836304E+000
> 2.08662915229797E+000
> + 244908_at   3.50156021118164E+000   1.05003893375397E+000
> 4.57657009363174E-001
> + 244909_at   1.02663551330566E+002   1.42618169784546E+001
> 1.61735534667969E+001
> + 244910_s_at 7.20161895751953E+001   1.57578134536743E+001
> 1.31729679107666E+001
> + 244911_at   3.26349411010742E+001   7.23858451843262E+000
> 6.47778940200806E+000"),header = TRUE,as.is= TRUE,sep = ',')
>
>
> str(de)
> 'data.frame':   11 obs. of  1 variable:
>  $ ID_REF...........GSM133971..........GSM133972...............GSM133973:
> chr  "244901_at   5.95461158752441E+001   1.88836498260498E+001
> 1.98215045928955E+001" "244902_at   7.25400314331055E+001
> 2.65250205993652E+001   1.95321922302246E+001" "244903_at
> 2.23291015625000E+002   1.78133636474609E+002   5.38166885375977E+001"
> "244904_at   3.65505447387695E+001   3.04016351699829E+000
> 6.80462265014648E+000" ...
>
>
>
> But when I try doing for the whole dataset I get an error:
>
> de=read.table(textConnection("trans.csv"),header = TRUE,as.is= TRUE,sep =
> ',')
>
> de
>
> [1] trans.csv
> <0 rows> (or 0-length row.names)
>
> --
> Sent via the guest posting facility at bioconductor.org.
>
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