Re: [aroma.affymetrix] Questions on extracting probeset summaries

2015-01-23 Thread Henrik Bengtsson
Solved. Before finalize a release, would you mind making sure it works on your end. Install aroma.affymetrix 2.13.0-9001 by running the following in a fresh R session: source('http://callr.org/install#HenrikBengtsson/aroma.affymetrix@2.13.0-9001') Then retry with

Re: [aroma.affymetrix] Questions on extracting probeset summaries

2015-01-23 Thread Henrik Bengtsson
This is odd for several reasons, e.g. I'm puzzled how you ended up with a monocell CDF previously but now it gives an error. Let's troubleshoot more... What does troubleshoot() output directly after you get that error? Henrik On Jan 23, 2015 7:23 AM, Qingzhou Zhang zqznept...@gmail.com wrote:

Re: [aroma.affymetrix] Questions on extracting probeset summaries

2015-01-23 Thread Henrik Bengtsson
On Jan 23, 2015 7:36 AM, Henrik Bengtsson h...@biostat.ucsf.edu wrote: This is odd for several reasons, e.g. I'm puzzled how you ended up with a monocell CDF previously but now it gives an error. Let's troubleshoot more... What does troubleshoot() output directly after you get that error? I

[aroma.affymetrix] Questions on extracting probeset summaries

2015-01-22 Thread Qingzhou Zhang
Hi Henrik, I was processing HG-U133_Plus_2 datasets. While extracting probeset summaries(chip effects) as a data frame, I only got 27604 objs * n variables. I was hoping to get a data frame of 54675 objs., which equals the number of units in HG-U133_Plus_2 chip. Am I missing some steps, or

Re: [aroma.affymetrix] Questions on extracting probeset summaries

2015-01-22 Thread Henrik Bengtsson
Thanks. I can *not* reproduce this, e.g. ces ChipEffectSet: Name: GSE9890 Tags: GRBC,QN,RMA,oligo Path: plmData/GSE9890,GRBC,QN,RMA,oligo/HG-U133_Plus_2 Platform: Affymetrix Chip type: HG-U133_Plus_2,monocell Number of arrays: 10 Names: GSM249671, GSM249672, GSM249673, ..., GSM249680 [10] Time

Re: [aroma.affymetrix] Questions on extracting probeset summaries

2015-01-22 Thread Qingzhou Zhang
Hi, Henrik, Thanks for the reply! Here is my code: library(aroma.affymetrix) RawName = Project1 RawChipType = HG-U133_Plus_2 ces - doGCRMA(RawName, chipType = RawChipType) data - extractDataFrame(ces, units = NULL, addNames = TRUE) Here is the sessionInfo() R version 3.1.1 (2014-07-10)

Re: [aroma.affymetrix] Questions on extracting probeset summaries

2015-01-22 Thread Henrik Bengtsson
On Thu, Jan 22, 2015 at 5:44 AM, Qingzhou Zhang zqznept...@gmail.com wrote: Hi Henrik, I was processing HG-U133_Plus_2 datasets. While extracting probeset summaries(chip effects) as a data frame, I only got 27604 objs * n variables. I was hoping to get a data frame of 54675 objs., which