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...incorrect number of dimensions Hi, I am pretty new with R. What i am trying to do is to find all differentially express genes and list of differentially expressed genes. Am i doing something wrong? I keep getting incorrect number of dimensions. How do i find out the correct dimensions? thanks, Keizer -- View this message in context: http://www.nabble.com/Newbie%3A-Incorrect-number-of-dimensions-tp15773090p15773090.html Sent from the R help mailing list archive at Nabble.com.

...pply(data.matrix[x,],1,var) step 3: however, when i type in variableprobe, it gives me this. 1 21.58257457 step 4: I need the code to output this: ProbeID Variance 1 224588_at 21.58257457 What do i need to do to modify the code to give me better description like the one above? thank. Keizer -- View this message in context: http://www.nabble.com/Variance-Calculation-in-R-tp15790621p15790621.html Sent from the R help mailing list archive at Nabble.com.

Just a quick note to tell that I did release HDT 0.5.0. Main feature of this release is the dumping of the detected components over TFTP (meaning PXE is _mandatory_ to work). I did fix also the auto mode where more combinations didn't worked as expected. I invite people reading this page that speaks about the dump feature : http://www.hdt-project.org/wiki/Dump But also, this one which

Just a quick note to tell that I did release HDT 0.5.0. Main feature of this release is the dumping of the detected components over TFTP (meaning PXE is _mandatory_ to work). I did fix also the auto mode where more combinations didn't worked as expected. I invite people reading this page that speaks about the dump feature : http://www.hdt-project.org/wiki/Dump But also, this one which

Hi Guys, I am having a real hard time trying to figure out for microarry. Here is my code One-Sample t-Test dim(data.sub) [1] 10000 140 ##there are 10000 probesets and 140 columns hist(data.sub) ## Histogram. Identify if the probesets are normal distributed q<-rnorm(10000) ##generate 10000 random, normal distributed values qqplot(data.sub,q)) ##Show the plot of the probeset