par2 <- as.numeric(par2) par3 <- as.numeric(par3) x <- t(y) load(file='createtable') a<-table.start() a <- table.row.start(a) a <- table.element(a,'Wilcoxon Test',3,TRUE) a <- table.row.end(a) a <- table.row.start(a) a <- table.element(a,'',1,TRUE) a <- table.element(a,'Statistic',1,TRUE) a <- table.element(a,'P-value',1,TRUE) a <- table.row.end(a) W <- wilcox.test(x[,par2],x[,par3],alternative=par1) a<-table.row.start(a) a<-table.element(a,'Wilcoxon Test',1,TRUE) a<-table.element(a,W$statistic[[1]]) a<-table.element(a,W$p.value) a<-table.row.end(a) a <- table.row.start(a) a <- table.element(a,hyperlink('https://automated.biganalytics.eu/Ian.Holliday/rwasp_CARE Data Boxplot.wasp','Go to Scatterplot Matrix and Boxplots','click here to compute the Scatter Plot Matrix and Boxplots about the data set.'),3) a <- table.row.end(a) a <- table.row.start(a) a <- table.element(a,hyperlink('https://automated.biganalytics.eu/Ian.Holliday/rwasp_Reddy-Moores K-S Test.wasp','Go to Kolmogorov-Smirnov Test','click here to compute the K-S statistic to check distributional assumptions.'),3) a <- table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab')
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