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Data X:
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 5.666666667 4.666666667 5.25 5.333333333 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 4.333333333 5.2 5.4 4.666666667 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 2.333333333 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
Names of X columns:
compmemomean compattenmean compappliedmean Specmemmean specattenmean specappliedmean
box colour
Notched Boxes
two.sided
TRUE
FALSE
% to trim
Chart options
Title:
Label y-axis:
Label x-axis:
R Code
par3 <- '0' par2 <- 'TRUE' par1 <- '3' par1 <- as.numeric(par1) #colour par2<- as.logical(par2) # Notches ? par3<-as.numeric(par3) # % trim if(par3>45){par3<-45;warning('trim limited to 45%')} if(par3<0){par3<-0;warning('negative trim makes no sense. Trim is zero.')} lotrm<-as.integer(length(y[1,])*par3/100)+1 hitrm<-as.integer(length(y[1,])*(100-par3)/100) y1<-array(dim=c(dim(y)[1], hitrm-lotrm+1), dimnames=list(dimnames(y)[[1]], 1:(hitrm-lotrm+1) )) for(i in 1:dim(y)[1]){ tmp<-order(y[i,]) y1[i,]<- y[i, tmp[lotrm:hitrm] ] } bitmap(file='test2.png') pairs(t(y)) dev.off() y<-y1 z <- as.data.frame(t(y)) bitmap(file='test1.png') (r<-boxplot(z ,xlab=xlab,ylab=ylab,main=main,notch=par2,col=par1)) dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,hyperlink('http://www.xycoon.com/overview.htm','Boxplot statistics','Boxplot overview'),6,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Variable',1,TRUE) a<-table.element(a,hyperlink('http://www.xycoon.com/lower_whisker.htm','lower whisker','definition of lower whisker'),1,TRUE) a<-table.element(a,hyperlink('http://www.xycoon.com/lower_hinge.htm','lower hinge','definition of lower hinge'),1,TRUE) a<-table.element(a,hyperlink('http://www.xycoon.com/central_tendency.htm','median','definitions about measures of central tendency'),1,TRUE) a<-table.element(a,hyperlink('http://www.xycoon.com/upper_hinge.htm','upper hinge','definition of upper hinge'),1,TRUE) a<-table.element(a,hyperlink('http://www.xycoon.com/upper_whisker.htm','upper whisker','definition of upper whisker'),1,TRUE) a<-table.row.end(a) for (i in 1:length(y[,1])) { a<-table.row.start(a) a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE) for (j in 1:5) { a<-table.element(a,round(r$stats[j,i], digits=2)) } a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable.tab') if (par2){ a<-table.start() a<-table.row.start(a) a<-table.element(a,'Boxplot Notches',4,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Variable',1,TRUE) a<-table.element(a,'lower bound',1,TRUE) a<-table.element(a,'median',1,TRUE) a<-table.element(a,'upper bound',1,TRUE) a<-table.row.end(a) for (i in 1:length(y[,1])) { a<-table.row.start(a) a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE) a<-table.element(a,round(r$conf[1,i], digits=2)) a<-table.element(a, round(r$stats[3,i], digits=2)) a<-table.element(a,round(r$conf[2,i], digits=2)) a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable1.tab') } a<-table.start() a<-table.row.start(a) a<-table.element(a,'Boxplot Means',4,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Variable',1,TRUE) a<-table.element(a,hyperlink('http://www.xycoon.com/trimmed_mean.htm','trimmed mean','definition of trimmed mean'),1,TRUE) a<-table.element(a,hyperlink('http://www.xycoon.com/unbiased1.htm','unbiased SD','definition of unbiased SD'),1,TRUE) a<-table.row.end(a) for (i in 1:length(y[,1])) { a<-table.row.start(a) a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE) a<-table.element(a,round(mean(unlist(z[i]), trim=par3/100, na.rm=TRUE), digits=2)) a<-table.element(a,round(sd(unlist(z[i]), na.rm=TRUE), digits=2)) a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable2.tab')
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