Hi
I am using the following script to average a set of data 0f 62 columns into 31
colums. The data consists of values of ln(0.01) or -4.60517 instead of NA's.
These need to be averaged for each row (i.e 2 values being averaged). What I
would I need to change for me to meet the conditions:
1. If each run of the sample has a value, the average is
given
2. If only one run of the sample has a value, that value
is given (i.e. no
averaging)
3. If both runs have missing values, NA is given.
I have tried changing (na.strings = "NA") to (na.strings = "-4.60517") but this
causes all the pairs with even one NA return an NA value. I would prefer not to
use for loops as this would slow the script down considerably.
#SCRIPT STARTS
rm(list=ls())
setwd("C:/Documents and Settings/Amit Patel")
#na.strings makes na's readable
zz <- read.csv("Pr9549_LabelFreeData_ByExperimentAK.csv",strip.white = TRUE,
na.strings = "NA")
ix <- seq(from=2,to=62, by=2)
averagedResults <- (zz[,ix] + zz[,ix+1])/2
averagedResults <- cbind(zz[,1],averagedResults )
colnames(averagedResults) <-
c("PCI","G1-C1","G1-C2","G1-C3","G1-C4","G1-C5","G1-C6","G1-C7","G1-C8",
"G2-C9","G2-C10","G2-C11","G2-C12","G2-C13","G2-C14","G2-C15","G2-C16",
"G3-C17","G3-C18","G3-C19","G3-C20","G3-C21","G3-C22","G3-C23",
"G4-C24","G4-C25","G4-C26","G4-C27","G4-C28","G4-C29","G4-C30","G4-C31")
write.csv(averagedResults, file = "Pr9549_averagedreplicates.csv", row.names =
FALSE)
#SCRIPT ENDS
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