search for: sample_1_c

...rder(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 r...

Hello, Thanks everyone for helping me with the previous queries. step 1: Here is the orginal data: short sample ProbeID Sample_1_D Sample_1_C Sample_2_D Sample_2_C 1 224588_at 2.425509867 11.34031409 11.46868531 11.75741478 step 2: i calculate the variance of the sample using this R code x<-1:20000 y<-2:141 data.matrix<-data.matrix(data[,y])#create data.matrix variableprobe<-apply(data.matrix[x,],1,var) step 3...

...########### #############filter out low variance and Select 10,000 probesets############## data.sub = data.matrix[order(variableprobe,decreasing=TRUE),][1:10000,] dim(data.sub) write.table(data.sub, file = "c://data_output.csv", sep = ",", col.names = NA) Output: Sample_1_D Sample_1_C Sample_2_D Sample_2_C 1 2.425509867 11.34031409 11.46868531 11.75741478 what i need is this ProbeID Sample_1_D Sample_1_C Sample_2_D Sample_2_C 1 224588_at 2.425509867 11.34031409 11.46868531 11.75741478 This is just the short ve...