apparently you want to check the genefilter package...
it defines functions like:
rowttests
colttests
rowFtests
colFtests
rowVars
rowSds
moreover, a quick look at Biobase is recommended...
that would save you lots of time as you wouldn't have to reinvent the
wheel.
b
On Mar 3, 2008, at 12:42 PM, Henrique Dallazuanna wrote:
You can try this:
cbind(data.sub, p.value=apply(data.sub, 1, function(x)t.test(x)
$p.value))
On 03/03/2008, Keizer_71 <[EMAIL PROTECTED]> wrote:
Hi Everyone,
I need some simple help.
Here are my codes
##########will give me 10000 probesets####################
data.sub = data.matrix[order(variableprobe,decreasing=TRUE),]
[1:10000,]
dim(data.sub)
data_output<-write.table(data.sub, file = "c://data_output.csv",
sep = ",",
col.names = NA)
When i export to excel, it shows me this. This is just a short
version.
There are 1000 rows and 140 columns
Sample_1_D Sample_1_C Sample_2_D Sample_2_C
1 2.425509867 11.34031409 11.46868531 11.75741478
Here is my question: How do create a new row and calculate the t-
test so
that it will give me the p-value
Here is what i am looking for. The p-value is not correct but just an
example. It needs to calculate the entire each row. There are 10000
rows and
140 columns.
thanks
Kei
Sample_1_D Sample_1_C Sample_2_D
Sample_2_C p-value
1 2.425509867 11.34031409 11.46868531
11.75741478 .00341111
I tried something like this.
t.test(data.sub,mu=0)
I am pretty new to R. I think it is showing me the entire p-value.
--
View this message in context:
http://www.nabble.com/Calculating-the-t-test-for-each-row-tp15808716p15808716.html
Sent from the R help mailing list archive at Nabble.com.
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--
Henrique Dallazuanna
Curitiba-Paraná-Brasil
25° 25' 40" S 49° 16' 22" O
______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
