1、Use sample data for analysis:Concentrations Metabolite concentrations of 77 urine samples from cancer patients measured by 1H NMR (Eisner R, et al.). Group 1- cachexic; group 2 - control
2、submit→Proceed
3、Sample normalization:Normalization by sum;Data transformation:None;Data scaling:Auto scaling (mean-centered and divided by the standard deviation of each variable)
4、Normalize
5、Proceed
6、choose“ [Orthogonal Partial Least Squares - Discriminant Analysis (orthoPLS-DA)]”
there was no analysis result, just white page like this:
R Command History for online analysis:
- mSet<-InitDataObjects(“conc”, “stat”, FALSE)
- mSet<-Read.TextData(mSet, “Replacing_with_your_file_path”, “rowu”, “disc”);
- mSet<-SanityCheckData(mSet)
- mSet<-ReplaceMin(mSet);
- mSet<-PreparePrenormData(mSet)
- mSet<-Normalization(mSet, “SumNorm”, “NULL”, “AutoNorm”, ratio=FALSE, ratioNum=20)
- mSet<-PlotNormSummary(mSet, “norm_0_”, “png”, 72, width=NA)
- mSet<-PlotSampleNormSummary(mSet, “snorm_0_”, “png”, 72, width=NA)
- mSet<-OPLSR.Anal(mSet, reg=TRUE)
- mSet<-PlotOPLS2DScore(mSet, “opls_score2d_0_”, “png”, 72, width=NA, 1,2,0.95,0,0, “na”)
- mSet<-PlotOPLS.Splot(mSet, “opls_splot_0_”, “all”, “png”, 72, width=NA);
- mSet<-PlotOPLS.Imp(mSet, “opls_imp_0_”, “png”, 72, width=NA, “vip”, “tscore”, 15,FALSE)
- mSet<-PlotOPLS.MDL(mSet, “opls_mdl_0_”, “png”, 72, width=NA)