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Data X:
70.8 66.67 69.6 66.33 69.87 64.33 67.47 64 67.6 63.33 67.13 61.33 66.27 64.67 66.73 63 68.07 60.67 67.8 63.67 64.8 60.67 64.6 61.67 64.2 62.33 64.2 60.33 63.67 59.67 61 60.33 59.67 59.33 59.67 58.67 59.8 58.67 60.73 59.33 59.4 57.33 58.07 59.33 57.47 56 70.73 53.67 72.87 58.67 66 49.33 66.07 71.33 66 70.33 66.27 69 64 66 63.67 66 63.73 63.33 63.33 65.33 63.53 64.33 63.53 64 62.87 61.67 59.53 63.67 62.8 64.67 60.8 61.67 59.8 62 56.67 61.33 57.67 63.67 58.4 61.33 55.47 62.33 56.2 59.67 71.53 59.33 68.67 61.67 65.67 58.67 66.73 58 67.33 56.67 66.73 59.67 66.87 58 65.8 57 64.73 57.67 65.47 58.67 63.6 55.33 64.07 56 64.67 55.67 63.73 53.33 62.53 53.67 61.93 51 62.67 47 62.8 4.33 61.33 70 62.6 68.67 59.13 67.67 61.27 66 59.47 65.67 57.87 65.67 59.73 63.67 61.4 63.67 58.8 64 58.33 62 57.47 62 57.13 61.67 55 61.67 51.53 63.33 72.73 61 73 62.33 70.8 60.33 70.07 60.33 71.67 60.67 71.07 57.67 70.67 58.33 70.73 58 70.73 57.33 68.6 56.67 69.6 58 66.47 55.33 67.07 55.67 68.67 54.67 66.93 56.33 65.93 55 68.87 55 66.53 54.67 65.8 54.33 66.6 49 66 48.33 65 49.67 66.8 43.67 65.6 6.33 66 3 65.67 66.67 64.67 67.33 65.07 65.33 64.67 66 65.07 65.67 65.2 66.67 64.87 65.67 63.47 65 62.6 64.67 64.07 66.67 63.73 63.67 64.67 63.33 61.6 63.67 61.6 63.33 60.47 63.67 61.27 63 63 61.67 61.47 61.33 60.87 60.67 61.67 60 62.87 61.67 62.4 61.33 59.73 58.67 60.13 60.33 58.8 59.67 59.6 59.33 58.93 59.67 60.13 61 58.2 61 58.27 60 58.27 60 55.07 58.67 53.87 58.33 52.33 58 47.2 56.33 37.93 54.67 72.73 55.33 70.07 54 70.67 52.67 72.07 44 68.8 65.67 68.8 65 67.47 66.33 66.73 64 66.53 62.33 66 61.33 67.6 63 66 63.67 66 62 66.53 61.33 65.8 64.67 64.27 62.67 64.67 64 64.6 61 64.13 60.67 65.47 59.67 62.93 60.33 63.53 56.67 62.13 56.67 63.87 54.33 64.67 51 63.33 51 63.13 47 62.8 68 62.4 65 62.4 64 62.6 64 61.47 64 62.2 62 63 61 61.8 60 59.73 60 60.33 62 60.13 60 59.53 59 59 61 55.93 60 41.87 60 36.33 58 71.67 58 71.47 60 70.47 58 69.53 59 70.73 56 69.93 54 68.73 51 67.53 47
Names of X columns:
X1 X2
box colour
Notched Boxes
TRUE
FALSE
% to trim
Chart options
Title:
Label y-axis:
Label x-axis:
R Code
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,]) # tried to graph only trimmed values, but y1 is sorted so inappropriate y1[i,]<- y[i, tmp[lotrm:hitrm] ] } bitmap(file='test2.png') pairs(t(y1)) 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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Raw Output
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Computing time
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R Server
Big Analytics Cloud Computing Center
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