On 10/18/05 7:06 AM, "Alberto Goldoni" <alberto.goldoni at="" eurogene.org=""> wrote:
> Dear friends,
>
> I have a problem:
>
> When I read a file with:
>
> tmp <- read.table("tottimecourseR.txt", sep="\t",
header=F,
> na.strings = "")
>
> all work fine:
>
> names(tmp)
> [1] "V1" "V2" "V3" "V4" "V5" "V6" "V7" "V8" "V9"
> "V10" "V11" "V12" "V13" "V14" "V15" "V16" "V17" "V18" "V19"
> "V20" "V21"
>
> tmp[5,1:10]
> V1 V2 V3 V4 V5 V6 V7 V8 V9 V10
> 5 1.11 0.81 0.94 0.87 0.75 0.62 1.19 0.48 0.76 0.76
>
>
> but if I make the transposition of tmp:
>
> tmp.t<-t(tmp)
>
> I obtain the numbers with "":
>
> 1 2 3 4 5 6 7 8 9
> 10 11 12 13
> " 7.25" " 0.30" "-0.20" " 0.82" " 1.11" " 1.81" "-0.12" "-2.22" "
1.51"
> " 1.11" " 4.15" " 3.84" " 1.66"
Why the "" around numbers? Read.table produces a data.frame, which is
NOT
the same as a matrix. In particular, data.frames can hold mixtures of
different data types (like character and numeric, for example).
Matrices,
on the other hand, can hold only one data type. Why does this matter?
Because from the help for t(), you can see that whatever is passed to
t() is
first coerced to a matrix. If there are mixed types in the original
data.frame, tmp, then these data will all be coerced to the same type
on
conversion to matrix; it looks like all the data were coerced to type
character.
If you are going to do the transpose, you will need to make it into a
data.frame after the transpose, or transpose only the numeric part of
the
original data.frame.
> and
>> names(tmp.t)
> NULL
>
> How can do to obtain:
>
>> names(tmp.t)
> "gene1" "gene2" "gene3" "geneN"
As far as I can see, you will need to assign the names yourself. See
?colnames for how to do this. But something like:
colnames(tmp.t) <- genenames
where genenames contains all of the genenames.
Hope this helps.
Sean
