ReadqPCR: [[hkgs,]] incorrect number of dimensions
1
0
Entering edit mode
Guest User ★ 13k
@guest-user-4897
Last seen 10.2 years ago
Dear James, Thanks for your time and help with ReadqPCR and NormqPCR. I have worked a bit more with this NormqPCR; Very useful package, especially, for normalizing raw Ct data, determining housekeeping genes, etc. Thus far, I have been successful in working through the vignette. Although, I have one last inquiry. In order to confirm where the error is coming from, I have deduced my input file containing the raw Cq values to 2 conditions, 8 detectors, one technical replication. > qPCRBatch=read.qPCRqPCRBatch.lv) Warning message: In read.qPCRqPCRBatch.lv) : Incompatible phenoData object. Created a new one using sample name data derived from raw data. > exprs(qPCRBatch) caseA control actin 20.89 20.91 lox22 21.36 20.50 lox23 20.93 21.00 lox34 20.89 20.80 lox61 19.50 19.50 lox62 21.00 25.00 lox69 19.30 15.00 lox99 21.10 28.00 > contM=cbind(c(1,0), c(0,1)) > colnames(contM)=c("interest", "no interest") > rownames(contM)=sampleNamesqPCRBatch.lv) > contM interest no interest caseA 1 0 control 0 1 > hkgs="actin" > ddCq.lv=deltaDeltaCqqPCRBatch.lv, maxNACase=1, maxNAControl=1, hkgs=hkgs, contrastM=contM, case="interest", control="no interest", statCalc="arith", hkgCalc="arith") Error in caseM[hkgs[1], ] : incorrect number of dimensions Apart from the vignette, I didn't think I would need to identify hkgs in each sample?? What is odd is that I can complete the deltaCq function, > qPCRBatch.dcq=deltaCqqPCRBatch.lv, hkgs=hkgs, calc="arith") > exprs(qPCRBatch.dcq) caseA control actin 0.00 0.00 lox22 0.47 -0.41 lox23 0.04 0.09 lox34 0.00 -0.11 lox61 -1.39 -1.41 lox62 0.11 4.09 lox69 -1.59 -5.91 lox99 0.21 7.09 , but not the deltaDeltaCq function. This says to me that there is something wrong with my "case" vs. "control" comparison in the contrast matrix? However, like the vignette, I have my hkgs genes in both samples, as required by the same detectors for all samples requisite(which makes sense). Anyhow, it's been great to work with NormqPCR. Hopefully, I can complete it by getting the deltaDeltaCq output. If you have a chance, can you please take a look at the scripts and correct me where I'm wrong. Respectfully, Franklin -- output of sessionInfo(): > sessionInfo() R version 2.15.1 (2012-06-22) Platform: x86_64-pc-mingw32/x64 (64-bit) locale: [1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United States.1252 LC_MONETARY=English_United States.1252 [4] LC_NUMERIC=C LC_TIME=English_United States.1252 attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] limma_3.14.0 NormqPCR_1.4.0 RColorBrewer_1.0-5 ReadqPCR_1.4.0 affy_1.36.1 Biobase_2.18.0 BiocGenerics_0.4.0 loaded via a namespace (and not attached): [1] affyio_1.26.0 BiocInstaller_1.8.3 preprocessCore_1.20.0 tools_2.15.1 zlibbioc_1.4.0 -- Sent via the guest posting facility at bioconductor.org.
ReadqPCR NormqPCR ReadqPCR NormqPCR • 3.2k views
ADD COMMENT
0
Entering edit mode
James Perkins ▴ 120
@james-perkins-4948
Last seen 10.2 years ago
Hi Franklin, It looks like the problem is due to you only having 1 replicate for case and 1 for control, and so it can't work out stats etc. I will work on a fix for this, in the meantime you can work out delta delta Cq by subracting 1 column from qPCRBatch.dcq from the other (followed by 2^ tranformation). Cheers, hope that helps, Jim On 6 March 2013 19:57, Franklin Johnson [guest] <guest@bioconductor.org>wrote: > > Dear James, > > Thanks for your time and help with ReadqPCR and NormqPCR. > > I have worked a bit more with this NormqPCR; > Very useful package, especially, for normalizing raw Ct data, determining > housekeeping genes, etc. > > Thus far, I have been successful in working through the vignette. > Although, I have one last inquiry. > In order to confirm where the error is coming from, I have deduced my > input file containing the raw Cq values to 2 conditions, 8 detectors, one > technical replication. > > > qPCRBatch=read.qPCRqPCRBatch.lv) > Warning message: > In read.qPCRqPCRBatch.lv) : > Incompatible phenoData object. Created a new one using sample name data > derived from raw data. > > > exprs(qPCRBatch) > caseA control > actin 20.89 20.91 > lox22 21.36 20.50 > lox23 20.93 21.00 > lox34 20.89 20.80 > lox61 19.50 19.50 > lox62 21.00 25.00 > lox69 19.30 15.00 > lox99 21.10 28.00 > > > contM=cbind(c(1,0), c(0,1)) > > colnames(contM)=c("interest", "no interest") > > rownames(contM)=sampleNamesqPCRBatch.lv) > > contM > interest no interest > caseA 1 0 > control 0 1 > > > hkgs="actin" > > ddCq.lv=deltaDeltaCqqPCRBatch.lv, maxNACase=1, maxNAControl=1, > hkgs=hkgs, contrastM=contM, case="interest", control="no interest", > statCalc="arith", hkgCalc="arith") > Error in caseM[hkgs[1], ] : incorrect number of dimensions > > Apart from the vignette, I didn't think I would need to identify hkgs in > each sample?? > > What is odd is that I can complete the deltaCq function, > > qPCRBatch.dcq=deltaCqqPCRBatch.lv, hkgs=hkgs, calc="arith") > > exprs(qPCRBatch.dcq) > caseA control > actin 0.00 0.00 > lox22 0.47 -0.41 > lox23 0.04 0.09 > lox34 0.00 -0.11 > lox61 -1.39 -1.41 > lox62 0.11 4.09 > lox69 -1.59 -5.91 > lox99 0.21 7.09 > > , but not the deltaDeltaCq function. > This says to me that there is something wrong with my "case" vs. "control" > comparison in the contrast matrix? However, like the vignette, I have my > hkgs genes in both samples, as required by the same detectors for all > samples requisite(which makes sense). > > Anyhow, it's been great to work with NormqPCR. > Hopefully, I can complete it by getting the deltaDeltaCq output. > > If you have a chance, can you please take a look at the scripts and > correct me where I'm wrong. > > Respectfully, > Franklin > > > > > -- output of sessionInfo(): > > > sessionInfo() > R version 2.15.1 (2012-06-22) > Platform: x86_64-pc-mingw32/x64 (64-bit) > > locale: > [1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United > States.1252 LC_MONETARY=English_United States.1252 > [4] LC_NUMERIC=C LC_TIME=English_United > States.1252 > > attached base packages: > [1] stats graphics grDevices utils datasets methods base > > other attached packages: > [1] limma_3.14.0 NormqPCR_1.4.0 RColorBrewer_1.0-5 > ReadqPCR_1.4.0 affy_1.36.1 Biobase_2.18.0 BiocGenerics_0.4.0 > > loaded via a namespace (and not attached): > [1] affyio_1.26.0 BiocInstaller_1.8.3 preprocessCore_1.20.0 > tools_2.15.1 zlibbioc_1.4.0 > > -- > Sent via the guest posting facility at bioconductor.org. > > _______________________________________________ > Bioconductor mailing list > Bioconductor@r-project.org > https://stat.ethz.ch/mailman/listinfo/bioconductor > Search the archives: > http://news.gmane.org/gmane.science.biology.informatics.conductor > -- Dr James R Perkins Institute of Structural and Molecular Biology Division of Biosciences University College London Gower Street London, WC1E 6BT UK email: j.perkins@ucl.ac.uk [[alternative HTML version deleted]]
ADD COMMENT
0
Entering edit mode
Dear James, Now I can recognize the meaning of: Error in caseM[hkgs[1], ] : incorrect number of dimensions. Given your correction, I can now calculate delta delta Cq too. Also, I have a better understanding of how NormqPCR operates and can generate transformed values. Thanks for everything. If I have questions down the road with another, larger dataset, I hope you don't mind if I contact you again. Respectfully, Franklin Johnson ________________________________ From: jimrperkins@gmail.com [jimrperkins@gmail.com] on behalf of James Perkins [j.perkins@ucl.ac.uk] Sent: Wednesday, March 06, 2013 11:53 PM To: Franklin Johnson [guest] Cc: Bioconductor@r-project.org; FRANKLIN.JOHNSON@wsu.edu Subject: Re: [BioC] ReadqPCR: [[hkgs,]] incorrect number of dimensions Hi Franklin, It looks like the problem is due to you only having 1 replicate for case and 1 for control, and so it can't work out stats etc. I will work on a fix for this, in the meantime you can work out delta delta Cq by subracting 1 column from qPCRBatch.dcq from the other (followed by 2^ tranformation). Cheers, hope that helps, Jim On 6 March 2013 19:57, Franklin Johnson [guest] <guest@bioconductor.org<mailto:guest@bioconductor.org>> wrote: Dear James, Thanks for your time and help with ReadqPCR and NormqPCR. I have worked a bit more with this NormqPCR; Very useful package, especially, for normalizing raw Ct data, determining housekeeping genes, etc. Thus far, I have been successful in working through the vignette. Although, I have one last inquiry. In order to confirm where the error is coming from, I have deduced my input file containing the raw Cq values to 2 conditions, 8 detectors, one technical replication. > qPCRBatch=read.qPCRqPCRBatch.lv) Warning message: In read.qPCRqPCRBatch.lv) : Incompatible phenoData object. Created a new one using sample name data derived from raw data. > exprs(qPCRBatch) caseA control actin 20.89 20.91 lox22 21.36 20.50 lox23 20.93 21.00 lox34 20.89 20.80 lox61 19.50 19.50 lox62 21.00 25.00 lox69 19.30 15.00 lox99 21.10 28.00 > contM=cbind(c(1,0), c(0,1)) > colnames(contM)=c("interest", "no interest") > rownames(contM)=sampleNamesqPCRBatch.lv) > contM interest no interest caseA 1 0 control 0 1 > hkgs="actin" > ddCq.lv=deltaDeltaCqqPCRBatch.lv, maxNACase=1, maxNAControl=1, hkgs=hkgs, contrastM=contM, case="interest", control="no interest", statCalc="arith", hkgCalc="arith") Error in caseM[hkgs[1], ] : incorrect number of dimensions Apart from the vignette, I didn't think I would need to identify hkgs in each sample?? What is odd is that I can complete the deltaCq function, > qPCRBatch.dcq=deltaCqqPCRBatch.lv, hkgs=hkgs, calc="arith") > exprs(qPCRBatch.dcq) caseA control actin 0.00 0.00 lox22 0.47 -0.41 lox23 0.04 0.09 lox34 0.00 -0.11 lox61 -1.39 -1.41 lox62 0.11 4.09 lox69 -1.59 -5.91 lox99 0.21 7.09 , but not the deltaDeltaCq function. This says to me that there is something wrong with my "case" vs. "control" comparison in the contrast matrix? However, like the vignette, I have my hkgs genes in both samples, as required by the same detectors for all samples requisite(which makes sense). Anyhow, it's been great to work with NormqPCR. Hopefully, I can complete it by getting the deltaDeltaCq output. If you have a chance, can you please take a look at the scripts and correct me where I'm wrong. Respectfully, Franklin -- output of sessionInfo(): > sessionInfo() R version 2.15.1 (2012-06-22) Platform: x86_64-pc-mingw32/x64 (64-bit) locale: [1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United States.1252 LC_MONETARY=English_United States.1252 [4] LC_NUMERIC=C LC_TIME=English_United States.1252 attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] limma_3.14.0 NormqPCR_1.4.0 RColorBrewer_1.0-5 ReadqPCR_1.4.0 affy_1.36.1 Biobase_2.18.0 BiocGenerics_0.4.0 loaded via a namespace (and not attached): [1] affyio_1.26.0 BiocInstaller_1.8.3 preprocessCore_1.20.0 tools_2.15.1 zlibbioc_1.4.0 -- Sent via the guest posting facility at bioconductor.org<http: bioconductor.org="">. _______________________________________________ Bioconductor mailing list Bioconductor@r-project.org<mailto:bioconductor@r-project.org> https://stat.ethz.ch/mailman/listinfo/bioconductor Search the archives: http://news.gmane.org/gmane.science.biology.informatics.conductor -- Dr James R Perkins Institute of Structural and Molecular Biology Division of Biosciences University College London Gower Street London, WC1E 6BT UK email: j.perkins@ucl.ac.uk<mailto:j.perkins@ucl.ac.uk> [[alternative HTML version deleted]]
ADD REPLY

Login before adding your answer.

Traffic: 570 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6