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.