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Type 'q()' to quit R. > x <- array(list(4.8 + ,5 + ,4.4 + ,4.6 + ,4.8 + ,4.6 + ,5.4 + ,5.4 + ,4.2 + ,5.6 + ,4.2 + ,4 + ,6 + ,5.6 + ,5.2 + ,4 + ,4.6 + ,4.8 + ,6 + ,5.6 + ,5.2 + ,5 + ,4.8 + ,4 + ,4 + ,5.4 + ,4.4 + ,4.4 + ,4.6 + ,5 + ,6 + ,6 + ,5.5 + ,6 + ,6.2 + ,5 + ,4.2 + ,4 + ,4 + ,4 + ,4.4 + ,4 + ,4.2 + ,4.2 + ,4 + ,4.4 + ,4.2 + ,4 + ,4.2 + ,4.6 + ,4 + ,4.6 + ,4 + ,4.4 + ,4 + ,4.2 + ,3.8 + ,4 + ,4.2 + ,4 + ,4.6 + ,4.2 + ,4 + ,4.8 + ,4.4 + ,4 + ,5.7 + ,4.7 + ,5.2 + ,5.3 + ,5.2 + ,5 + ,3.8 + ,3.6 + ,3.6 + ,4.4 + ,3.8 + ,3.8 + ,4.8 + ,5 + ,4.4 + ,5.2 + ,5.2 + ,4.6 + ,4.2 + ,4.6 + ,4 + ,5.2 + ,4.6 + ,4 + ,4 + ,4 + ,4.4 + ,4 + ,4.2 + ,4.6 + ,5.4 + ,5.8 + ,4.3 + ,5.2 + ,5.4 + ,4.7 + ,4.6 + ,5.8 + ,4.6 + ,4.8 + ,4.6 + ,4 + ,4 + ,4 + ,4 + ,4 + ,4.4 + ,4 + ,4.4 + ,5.4 + ,4.4 + ,4.4 + ,5 + ,4.4 + ,5 + ,4.8 + ,5 + ,5.6 + ,4.8 + ,4.8 + ,5.4 + ,5.8 + ,5.2 + ,6 + ,6.2 + ,5.8 + ,5.2 + ,5.4 + ,5.2 + ,4.8 + ,5.2 + ,4.6 + ,4.4 + ,4.8 + ,4.6 + ,4.2 + ,4.6 + ,4.75 + ,4 + ,4.6 + ,4.6 + ,4 + ,4.6 + ,5 + ,3.4 + ,4.6 + ,2.3 + ,2.8 + ,4.2 + ,2.75 + ,4.4 + ,4 + ,4 + ,4.8 + ,4 + ,4 + ,4 + ,4 + ,3.8 + ,4.2 + ,4.6 + ,3.8 + ,4.4 + ,4.8 + ,4 + ,4.8 + ,4.6 + ,4.4 + ,4.4 + ,5 + ,4.6 + ,5.2 + ,5 + ,4.8 + ,4 + ,4 + ,4.75 + ,4.6 + ,4.6 + ,4.25 + ,4.8 + ,5.2 + ,4.4 + ,4.4 + ,5.6 + ,4.4 + ,4 + ,4 + ,4 + ,4 + ,4 + ,4 + ,4 + ,4.4 + ,4 + ,3.6 + ,3.8 + ,4.5 + ,5 + ,5.6 + ,5.2 + ,4.6 + ,5.8 + ,5 + ,4 + ,4.6 + ,3.8 + ,4 + ,4.2 + ,3.5 + ,3.4 + ,2.2 + ,2.5 + ,2.2 + ,3.4 + ,2 + ,4 + ,4 + ,3.2 + ,4 + ,3.8 + ,4.4 + ,5.4 + ,4.6 + ,4.2 + ,5.6 + ,4.8 + ,4.4 + ,4.2 + ,4.2 + ,4 + ,3.6 + ,4.2 + ,4.25 + ,4 + ,4 + ,3.25 + ,4 + ,4 + ,3.25 + ,5.6 + ,5 + ,4.2 + ,5.4 + ,5 + ,4.2 + ,4.8 + ,5 + ,4.75 + ,5 + ,5 + ,4.75 + ,4.4 + ,4.8 + ,4.4 + ,4.4 + ,4.6 + ,4.4 + ,4.6 + ,5 + ,4 + ,4.6 + ,5 + ,4 + ,4 + ,3.8 + ,4.2 + ,3.8 + ,3.8 + ,4.2 + ,5.2 + ,4.6 + ,4 + ,4.25 + ,5 + ,5 + ,4.8 + ,4.2 + ,4.2 + ,4.6 + ,4.8 + ,4.6 + ,4.6 + ,5 + ,4.4 + ,5.2 + ,5 + ,4.4 + ,4 + ,4 + ,4 + ,4 + ,4.2 + ,4 + ,4.2 + ,5.2 + ,4.6 + ,4.2 + ,4.8 + ,4.4 + ,4.6 + ,4.8 + ,4.4 + ,4.2 + ,4.6 + ,4.5 + ,4.4 + ,4.2 + ,4 + ,4.6 + ,5 + ,5.2 + ,5 + ,5 + ,4.8 + ,5.6 + ,5 + ,4.4 + ,5 + ,4.2 + ,2.25 + ,5.4 + ,4 + ,3.25 + ,4 + ,4 + ,4.8 + ,4 + ,4 + ,4.6 + ,3.8 + ,3.2 + ,3.75 + ,3.6 + ,3.2 + ,3.75 + ,5.2 + ,6.2 + ,5.6 + ,4.4 + ,5.2 + ,5 + ,4.2 + ,5.6 + ,4.2 + ,4.6 + ,4.6 + ,3.8 + ,4.4 + ,4.6 + ,4.2 + ,4.4 + ,3.6 + ,4 + ,4.2 + ,5.2 + ,5 + ,4 + ,4.8 + ,5.4 + ,6 + ,6 + ,5.8 + ,5 + ,4.8 + ,5 + ,4.8 + ,4.8 + ,5 + ,4.8 + ,4.8 + ,5 + ,4 + ,4 + ,4 + ,4 + ,4 + ,4.2 + ,4.4 + ,4.4 + ,4.4 + ,4.6 + ,5 + ,4.4 + ,4 + ,4.4 + ,4.4 + ,4 + ,4.4 + ,4 + ,4.8 + ,4.8 + ,4.4 + ,5 + ,5.2 + ,4.6 + ,4.8 + ,4.6 + ,4.4 + ,4.2 + ,4 + ,4.2 + ,5.6 + ,6.4 + ,5.8 + ,4.8 + ,5.6 + ,5.2 + ,6 + ,6 + ,6 + ,6.8 + ,7 + ,6.4 + ,4 + ,4.2 + ,4 + ,4 + ,4.2 + ,4 + ,4.2 + ,4 + ,4 + ,4.2 + ,4 + ,4 + ,5 + ,5.2 + ,5 + ,5 + ,5.2 + ,5 + ,4.4 + ,4.4 + ,4 + ,5 + ,4.2 + ,4 + ,4.2 + ,4.6 + ,4.2 + ,4.6 + ,4.6 + ,4.2 + ,4.6 + ,4.8 + ,4.4 + ,4.8 + ,4.8 + ,4 + ,4.4 + ,4.2 + ,4 + ,5 + ,4.8 + ,4 + ,4 + ,4 + ,4 + ,4.2 + ,4 + ,4 + ,4 + ,4.2 + ,4 + ,4 + ,4.4 + ,4 + ,4 + ,4 + ,4.2 + ,4 + ,4 + ,4 + ,4.2 + ,5 + ,4.6 + ,3.8 + ,4.6 + ,4.2 + ,4 + ,4 + ,4.4 + ,4.6 + ,4.2 + ,4 + ,5 + ,5.6 + ,4.4 + ,4 + ,4 + ,4 + ,4.2 + ,4 + ,4 + ,4.2 + ,3.8 + ,4 + ,5.4 + ,5.8 + ,5 + ,5.6 + ,6 + ,5.2 + ,4 + ,4.4 + ,4.2 + ,4 + ,5 + ,4.2 + ,6 + ,5.4 + ,5 + ,5.6 + ,5.4 + ,4.8 + ,3.8 + ,4.2 + ,4 + ,3.8 + ,4.2 + ,4 + ,5 + ,5.2 + ,4.8 + ,5 + ,5.4 + ,4.8 + ,4.4 + ,4.6 + ,4 + ,5.4 + ,5.6 + ,5 + ,5 + ,5.2 + ,4.6 + ,5 + ,5.2 + ,4.6 + ,4.4 + ,4.4 + ,4 + ,4.4 + ,4.4 + ,4 + ,5 + ,4.2 + ,4.4 + ,4.4 + ,4.4 + ,4.4 + ,4.2 + ,4 + ,4 + ,4 + ,4.2 + ,4 + ,4.6 + ,3.8 + ,3.4 + ,5.4 + ,4 + ,3.8 + ,5 + ,5.6 + ,5.8 + ,2.2 + ,4.2 + ,4.5) + ,dim=c(6 + ,96) + ,dimnames=list(c('cmm' + ,'cpm' + ,'cam' + ,'Smm' + ,'sam' + ,'spam ') + ,1:96)) > y <- array(NA,dim=c(6,96),dimnames=list(c('cmm','cpm','cam','Smm','sam','spam '),1:96)) > for (i in 1:dim(x)[1]) + { + for (j in 1:dim(x)[2]) + { + y[i,j] <- as.numeric(x[i,j]) + } + } > par8 = 'TRUE' > par7 = '0.95' > par6 = '0.0' > par5 = 'paired' > par4 = 'Wilcoxon-Mann_Whitney' > par3 = '2' > par2 = '1' > par1 = 'two.sided' > ylab = 'Y-Axis Title' > xlab = 'X-Axis Title' > main = 'Boxplots Title' > #'GNU S' R Code compiled by R2WASP v. 1.0.44 () > #Author: Dr. Ian E. Holliday > #To cite this work: Ian E. Holliday, 2009, YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: > #Technical description: > par2 <- as.numeric(par2) > par3 <- as.numeric(par3) > par4 <- as.character(par4) > par5 <- as.character(par5) > par6 <- as.numeric(par6) > par7 <- as.numeric(par7) > par8 <- as.logical(par8) > if ( par5 == 'unpaired') paired <- FALSE else paired <- TRUE > x <- t(y) > if(par8){ + postscript(file="/var/wessaorg/rcomp/tmp/1wxk51320151851.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) + (r<-boxplot(x ,xlab=xlab,ylab=ylab,main=main,notch=FALSE,col=2)) + dev.off() + } null device 1 Warning messages: 1: In axis(side = 1, at = 1:6, labels = c("cmm", "cpm", "cam", "Smm", : font width unknown for character 0xd 2: In axis(side = 1, at = 1:6, labels = c("cmm", "cpm", "cam", "Smm", : font width unknown for character 0xd > > #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/wessaorg/rcomp/createtable") > > if( par4 == 'Wilcoxon-Mann_Whitney'){ + a<-table.start() + a <- table.row.start(a) + a <- table.element(a,'Wilcoxon Test',3,TRUE) + a <- table.row.end(a) + a <- table.row.start(a) + a <- table.element(a,'',1,TRUE) + a <- table.element(a,'Statistic',1,TRUE) + a <- table.element(a,'P-value',1,TRUE) + a <- table.row.end(a) + W <- wilcox.test(x[,par2],x[,par3],alternative=par1, paired = paired) + a<-table.row.start(a) + a<-table.element(a,'Wilcoxon Test',1,TRUE) + a<-table.element(a,W$statistic[[1]]) + a<-table.element(a,round(W$p.value, digits=5) ) + a<-table.row.end(a) + a<-table.end(a) + table.save(a,file="/var/wessaorg/rcomp/tmp/2c4cc1320151851.tab") + } > if( par4 == 'T-Test') + { + T <- t.test(x[,par2],x[,par3],alternative=par1, paired=paired, mu=par6, conf.level=par7) + a<-table.start() + a <- table.row.start(a) + a <- table.element(a,'T-Test',3,TRUE) + a <- table.row.end(a) + if(paired){ + a <- table.row.start(a) + a <- table.element(a,'Difference: Mean1 - Mean2',1,TRUE) + a<-table.element(a,round(T$estimate, digits=5) ) + a <- table.row.end(a) + } + if(!paired){ + a <- table.row.start(a) + a <- table.element(a,'Mean1',1,TRUE) + a<-table.element(a,round(T$estimate[1], digits=5) ) + a <- table.row.end(a) + a <- table.row.start(a) + a <- table.element(a,'Mean2',1,TRUE) + a<-table.element(a,round(T$estimate[2], digits=5) ) + a <- table.row.end(a) + } + a <- table.row.start(a) + a <- table.element(a,'T Statistic',1,TRUE) + a<-table.element(a,round(T$statistic, digits=5) ) + a <- table.row.end(a) + a <- table.row.start(a) + a <- table.element(a,'P-value',1,TRUE) + a<-table.element(a,round(T$p.value, digits=5) ) + a <- table.row.end(a) + a <- table.row.start(a) + a <- table.element(a,'Lower Confidence Limit',1,TRUE) + a<-table.element(a,round(T$conf.int[1], digits=5) ) + a <- table.row.end(a) + a<-table.row.start(a) + a <- table.element(a,'Upper Confidence Limit',1,TRUE) + a<-table.element(a,round(T$conf.int[2], digits=5) ) + a <- table.row.end(a) + a<-table.end(a) + table.save(a,file="/var/wessaorg/rcomp/tmp/3rrf71320151851.tab") + } > a<-table.start() > a <- table.row.start(a) > a <- table.element(a,'Standard Deviations',3,TRUE) > a <- table.row.end(a) > a <- table.row.start(a) > a <- table.element(a,'Variable 1',1,TRUE) > a<-table.element(a,round(sd(x[,par2]), digits=5) ) > a <- table.row.end(a) > a <- table.row.start(a) > a <- table.element(a,'Variable 2',1,TRUE) > a<-table.element(a,round(sd(x[,par3]), digits=5) ) > a <- table.row.end(a) > a<-table.end(a) > table.save(a,file="/var/wessaorg/rcomp/tmp/497qp1320151851.tab") > > try(system("convert tmp/1wxk51320151851.ps tmp/1wxk51320151851.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.588 0.075 0.659