Question about F test in limma
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@lisa-mijung-chung-2772
Last seen 9.6 years ago
Dear limma expert, I have a question about performing F-test (with several groups) on limma. If I have 3 targets (using Affy chips) called RNA1, RNA2, RNA3 and want to get F statistic to test H0: no difference vs. H1: at least one target is different, (Similar with example on Section 8.6 of limma user guide at pp.42-43) Should I construct my contrast matrix: > makeContrasts(RNA2-RNA1, RNA3-RNA2, RNA3-RNA1) # with all pairwise comparisons or would it be fine only with: > makeContrasts(RNA2-RNA1, RNA3-RNA2) # comparisons of two adjacent pairs With best wishes, Thank you. -- Lisa Mijung Chung Graduate Student, Biostat Trainee Department of Statistics, UW-Madison Web: www.stat.wisc.edu/~lchung
affy limma affy limma • 1.1k views
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@lisa-mijung-chung-2772
Last seen 9.6 years ago
Dear limma expert, Thank you very much for your prompt reply. After I had sent you previous email, I tried with both methods just for my curiosity and got the same result. I am wondering if it happens to my data by chance or limma calculates moderated F stat by considering all targets specified on contrast matrix as different treatment groups, i.e. all RNA1, RNA2, and RNA3 appear on (anyways) > makeContrasts(RNA2-RNA1, RNA3-RNA2) Thanks, again, Sincerely, Lisa C. On Wed, Apr 23, 2008 at 9:13 PM, Dejian Zhao <zhaodj at="" ioz.ac.cn=""> wrote: > I think you should make all pairwise comparisons. > Your H0 (no difference) means that all the targets show no > difference. Therefore you should check them pairwise thoroughly. > > > > On Thu, Apr 24, 2008 09:26, Lisa Mijung Chung wrote: > > Dear limma expert, > > I have a question about performing F-test (with several groups) on > > limma. > > If I have 3 targets (using Affy chips) called RNA1, RNA2, RNA3 and > > want to get F statistic to test > > H0: no difference vs. H1: at least one target is different, > > (Similar with example on Section 8.6 of limma user guide at > > pp.42-43) > > > > Should I construct my contrast matrix: > >> makeContrasts(RNA2-RNA1, RNA3-RNA2, RNA3-RNA1) # with all pairwise > >> comparisons > > > > or would it be fine only with: > >> makeContrasts(RNA2-RNA1, RNA3-RNA2) # comparisons of > >> two adjacent pairs > > > > With best wishes, > > Thank you. > > > > > > -- > > Lisa Mijung Chung > > Graduate Student, Biostat Trainee > > Department of Statistics, UW-Madison > > Web: www.stat.wisc.edu/~lchung > > > > _______________________________________________ > > Bioconductor mailing list > > Bioconductor at stat.math.ethz.ch > > https://stat.ethz.ch/mailman/listinfo/bioconductor > > Search the archives: > > http://news.gmane.org/gmane.science.biology.informatics.conductor > > > > > -- > De-Jian Zhao > Institute of Zoology,Chinese Academy of Sciences > +86-10-64807217 > zhaodj at ioz.ac.cn > -- Lisa Mijung Chung Graduate Student, Biostat Trainee Department of Statistics, UW-Madison Web: www.stat.wisc.edu/~lchung
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Dear Lisa, no this is not a chance finding. Whether you include all 3 possible contrasts or just the two you specify below: if all contrasts are zero this is equivalent to the overall null hypothesis that all 3 treatment means are the same, i.e. the F-test is testing the same hypothesis in both cases and thus gives the same p-value. Best Wishes Claus Lisa Mijung Chung wrote: > Dear limma expert, > > Thank you very much for your prompt reply. After I had sent you > previous email, I tried with both methods just for my curiosity and > got the same result. I am wondering if it happens to my data by chance > or limma calculates moderated F stat by considering all targets > specified on contrast matrix as different treatment groups, i.e. all > RNA1, RNA2, and RNA3 appear on (anyways) > >> makeContrasts(RNA2-RNA1, RNA3-RNA2) >> > Thanks, again, > > Sincerely, > Lisa C. > > > On Wed, Apr 23, 2008 at 9:13 PM, Dejian Zhao <zhaodj at="" ioz.ac.cn=""> wrote: > >> I think you should make all pairwise comparisons. >> Your H0 (no difference) means that all the targets show no >> difference. Therefore you should check them pairwise thoroughly. >> >> >> >> On Thu, Apr 24, 2008 09:26, Lisa Mijung Chung wrote: >> > Dear limma expert, >> > I have a question about performing F-test (with several groups) on >> > limma. >> > If I have 3 targets (using Affy chips) called RNA1, RNA2, RNA3 and >> > want to get F statistic to test >> > H0: no difference vs. H1: at least one target is different, >> > (Similar with example on Section 8.6 of limma user guide at >> > pp.42-43) >> > >> > Should I construct my contrast matrix: >> >> makeContrasts(RNA2-RNA1, RNA3-RNA2, RNA3-RNA1) # with all pairwise >> >> comparisons >> > >> > or would it be fine only with: >> >> makeContrasts(RNA2-RNA1, RNA3-RNA2) # comparisons of >> >> two adjacent pairs >> > >> > With best wishes, >> > Thank you. >> > >> > >> > -- >> > Lisa Mijung Chung >> > Graduate Student, Biostat Trainee >> > Department of Statistics, UW-Madison >> > Web: www.stat.wisc.edu/~lchung >> > >> > _______________________________________________ >> > Bioconductor mailing list >> > Bioconductor at stat.math.ethz.ch >> > https://stat.ethz.ch/mailman/listinfo/bioconductor >> > Search the archives: >> > http://news.gmane.org/gmane.science.biology.informatics.conductor >> > >> >> >> -- >> De-Jian Zhao >> Institute of Zoology,Chinese Academy of Sciences >> +86-10-64807217 >> zhaodj at ioz.ac.cn >> >> > > > > -- ********************************************************************** ************* Dr Claus-D. Mayer | http://www.bioss.ac.uk Biomathematics & Statistics Scotland | email: claus at bioss.ac.uk Rowett Research Institute | Telephone: +44 (0) 1224 716652 Aberdeen AB21 9SB, Scotland, UK. | Fax: +44 (0) 1224 715349
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Thank you very much, all limma experts, that is a big help to me. Lisa On Mon, Apr 28, 2008 at 11:44 AM, Claus-Dieter Mayer <claus at="" bioss.ac.uk=""> wrote: > Dear Lisa, > > no this is not a chance finding. Whether you include all 3 possible > contrasts or just the two you specify below: if all contrasts are zero this > is equivalent to the overall null hypothesis that all 3 treatment means are > the same, i.e. the F-test is testing the same hypothesis in both cases and > thus gives the same p-value. > > Best Wishes > > Claus > > > > Lisa Mijung Chung wrote: > > > Dear limma expert, > > > > Thank you very much for your prompt reply. After I had sent you > > previous email, I tried with both methods just for my curiosity and > > got the same result. I am wondering if it happens to my data by chance > > or limma calculates moderated F stat by considering all targets > > specified on contrast matrix as different treatment groups, i.e. all > > RNA1, RNA2, and RNA3 appear on (anyways) > > > > > > > makeContrasts(RNA2-RNA1, RNA3-RNA2) > > > > > > > > Thanks, again, > > > > Sincerely, > > Lisa C. > > > > > > On Wed, Apr 23, 2008 at 9:13 PM, Dejian Zhao <zhaodj at="" ioz.ac.cn=""> wrote: > > > > > > > I think you should make all pairwise comparisons. > > > Your H0 (no difference) means that all the targets show no > > > difference. Therefore you should check them pairwise thoroughly. > > > > > > > > > > > > On Thu, Apr 24, 2008 09:26, Lisa Mijung Chung wrote: > > > > Dear limma expert, > > > > I have a question about performing F-test (with several groups) on > > > > limma. > > > > If I have 3 targets (using Affy chips) called RNA1, RNA2, RNA3 and > > > > want to get F statistic to test > > > > H0: no difference vs. H1: at least one target is different, > > > > (Similar with example on Section 8.6 of limma user guide at > > > > pp.42-43) > > > > > > > > Should I construct my contrast matrix: > > > >> makeContrasts(RNA2-RNA1, RNA3-RNA2, RNA3-RNA1) # with all pairwise > > > >> comparisons > > > > > > > > or would it be fine only with: > > > >> makeContrasts(RNA2-RNA1, RNA3-RNA2) # comparisons of > > > >> two adjacent pairs > > > > > > > > With best wishes, > > > > Thank you. > > > > > > > > > > > > -- > > > > Lisa Mijung Chung > > > > Graduate Student, Biostat Trainee > > > > Department of Statistics, UW-Madison > > > > Web: www.stat.wisc.edu/~lchung > > > > > > > > _______________________________________________ > > > > Bioconductor mailing list > > > > Bioconductor at stat.math.ethz.ch > > > > https://stat.ethz.ch/mailman/listinfo/bioconductor > > > > Search the archives: > > > > http://news.gmane.org/gmane.science.biology.informatics.conductor > > > > > > > > > > > > > -- > > > De-Jian Zhao > > > Institute of Zoology,Chinese Academy of Sciences > > > +86-10-64807217 > > > zhaodj at ioz.ac.cn > > > > > > > > > > > > > > > > > > > > > -- > > ******************************************************************** *************** > Dr Claus-D. Mayer | http://www.bioss.ac.uk > Biomathematics & Statistics Scotland | email: claus at bioss.ac.uk > Rowett Research Institute | Telephone: +44 (0) 1224 716652 > Aberdeen AB21 9SB, Scotland, UK. | Fax: +44 (0) 1224 715349 > > ******************************************************************** *************** > > > -- Lisa Mijung Chung Graduate Student, Biostat Trainee Department of Statistics, UW-Madison Web: www.stat.wisc.edu/~lchung
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