The other respondants here have missed the point - write.table() as
invoked by the OP does not produce a csv file. The default separator is
" " (a space) in write.table(), so no wonder Excel cocked it up as it
assumes that a csv file is one that has elements separated by a comma
",". We don't need
>
> it doesn't seem indicate any installation instruction.
> http://cran.r-project.org/web/packages/xlsReadWrite/index.html
As Wensui Liu already mentioned, installation is the same as with other
packages: In the RGui menu select Packages->Install Packages...->(Select a
CRAN mirror)->(Select the
i think you simply install it in the way you install other R packages.
On Sun, Mar 2, 2008 at 10:40 PM, Christophe Lo <[EMAIL PROTECTED]> wrote:
> thanks for your response. How do i install it? I try looking at the manual
> it doesn't seem indicate any installation instruction. I also download a
>
thanks for your response. How do i install it? I try looking at the manual
it doesn't seem indicate any installation instruction. I also download a
windows version but it doesn't have an exe file.
http://cran.r-project.org/web/packages/xlsReadWrite/index.html
Newbie,
Kei
On 3/3/08, Wensui Liu <
hi,
did you try write.xls in xlsReadWrite package?
On Sun, Mar 2, 2008 at 9:59 PM, Keizer_71 <[EMAIL PROTECTED]> wrote:
>
> Here is my R Code
>
> x<-1:2
> y<-2:141
> data.matrix<-data.matrix(data[,y])#create data.matrix
> variableprobe<-apply(data.matrix[x,],1,var)
> variableprobe #outp
If you are asking how to convert to multiple columns in Excel, look at
the "text to column" option in I think the data tab.
On Sun, Mar 2, 2008 at 9:59 PM, Keizer_71 <[EMAIL PROTECTED]> wrote:
>
> Here is my R Code
>
> x<-1:2
> y<-2:141
> data.matrix<-data.matrix(data[,y])#create data.matrix
>
Here is my R Code
x<-1:2
y<-2:141
data.matrix<-data.matrix(data[,y])#create data.matrix
variableprobe<-apply(data.matrix[x,],1,var)
variableprobe #output variance across probesets
hist(variableprobe) #displaying histogram of variableprobe
write.table(cbind(data[1],
Variance=apply(data[,y],1,
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