ss wrote:
Dear Erik,
Thanks! The 'data' is matrix but all(apply(data[,3:85], 2, class) ==
"numeric")
is false.
> class(data)
[1] "matrix"
> a<- rowMeans(data[,3:85],na.rm = TRUE)
Error in rowMeans(data[, 3:85], na.rm = TRUE) : 'x' must be numeric
> all(apply(data[,3:85], 2, class) == "numeric")
[1] FALSE
>
What else should I do?
try str(data) , do you have a character matrix? That would explain
the error message.
I would consider storing your data in a data.frame, as you appear not to
have homogeneous types, and then your analysis should be trivial.
Erik
I appreciate!
Allen
On Thu, Jun 12, 2008 at 4:55 PM, Erik Iverson <[EMAIL PROTECTED]
<mailto:[EMAIL PROTECTED]>> wrote:
Hello -
ss wrote:
Hi all,
I have a matrix called 'data', which looks like:
data[1:4,1:4]
Probe_ID Gene_Symbol M1601 M1602
1 A_23_P105862 13CDNA73 -1.6 0.16
2 A_23_P76435 15E1.2 0.18 0.59
3 A_24_P402115 15E1.2 1.63 -0.62
4 A_32_P227764 15E1.2 -0.76 -0.42
dim(data)
[1] 23963 85
Do you really have a matrix, or a data.frame?
Try
> class(data)
What I want to do is to make a new matrix called 'data2', which
would be
transformed
by subtracting the mean of each row from matrix 'data'. There
are some 'NA's
in the
matrix and I do want to keep it.
See ?scale
I tried to take 'mean's from each row first by using:
a<- rowMeans(data[,3:85],na.rm = FALSE)
but I got:
a<- rowMeans(data[,3:85],na.rm = FALSE)
Error in rowMeans(data[, 3:85], na.rm = FALSE) : 'x' must be numeric
Can anybody suggest me how to get around this?
Figure out what you are giving the rowMeans function.
If you really have a matrix, then
all(apply(data[,3:85], 2, class) == "numeric") should be TRUE.
Thank you very much!
Allen
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