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Data X:
70.8 70.94 69.6 70.6 69.87 68.6 67.47 68.27 67.6 67.6 67.13 65.6 66.27 68.94 66.73 67.27 68.07 64.94 67.8 67.94 64.8 64.94 64.6 65.94 64.2 66.6 64.2 64.6 63.67 63.94 61 64.6 59.67 63.6 59.67 62.94 59.8 62.94 60.73 63.6 59.4 61.6 58.07 63.6 57.47 60.27 70.73 57.94 72.87 62.94 66 53.6 66.07 75.6 66 74.6 66.27 73.27 64 70.27 63.67 70.27 63.73 67.6 63.33 69.6 63.53 68.6 63.53 68.27 62.87 65.94 59.53 67.94 62.8 68.94 60.8 65.94 59.8 66.27 56.67 65.6 57.67 67.94 58.4 65.6 55.47 66.6 56.2 63.94 71.53 63.6 68.67 65.94 65.67 62.94 66.73 62.27 67.33 60.94 66.73 63.94 66.87 62.27 65.8 61.27 64.73 61.94 65.47 62.94 63.6 59.6 64.07 60.27 64.67 59.94 63.73 57.6 62.53 57.94 61.93 55.27 62.67 51.27 62.8 8.6 61.33 74.27 62.6 72.94 59.13 71.94 61.27 70.27 59.47 69.94 57.87 69.94 59.73 67.94 61.4 67.94 58.8 68.27 58.33 66.27 57.47 66.27 57.13 65.94 55 65.94 51.53 67.6 72.73 65.27 73 66.6 70.8 64.6 70.07 64.6 71.67 64.94 71.07 61.94 70.67 62.6 70.73 62.27 70.73 61.6 68.6 60.94 69.6 62.27 66.47 59.6 67.07 59.94 68.67 58.94 66.93 60.6 65.93 59.27 68.87 59.27 66.53 58.94 65.8 58.6 66.6 53.27 66 52.6 65 53.94 66.8 47.94 65.6 10.6 66 7.27 65.67 70.94 64.67 71.6 65.07 69.6 64.67 70.27 65.07 69.94 65.2 70.94 64.87 69.94 63.47 69.27 62.6 68.94 64.07 70.94 63.73 67.94 64.67 67.6 61.6 67.94 61.6 67.6 60.47 67.94 61.27 67.27 63 65.94 61.47 65.6 60.87 64.94 61.67 64.27 62.87 65.94 62.4 65.6 59.73 62.94 60.13 64.6 58.8 63.94 59.6 63.6 58.93 63.94 60.13 65.27 58.2 65.27 58.27 64.27 58.27 64.27 55.07 62.94 53.87 62.6 52.33 62.27 47.2 60.6 37.93 58.94 72.73 59.6 70.07 58.27 70.67 56.94 72.07 48.27 68.8 69.94 68.8 69.27 67.47 70.6 66.73 68.27 66.53 66.6 66 65.6 67.6 67.27 66 67.94 66 66.27 66.53 65.6 65.8 68.94 64.27 66.94 64.67 68.27 64.6 65.27 64.13 64.94 65.47 63.94 62.93 64.6 63.53 60.94 62.13 60.94 63.87 58.6 64.67 55.27 63.33 55.27 63.13 51.27 62.8 72.27 62.4 69.27 62.4 68.27 62.6 68.27 61.47 68.27 62.2 66.27 63 65.27 61.8 64.27 59.73 64.27 60.33 66.27 60.13 64.27 59.53 63.27 59 65.27 55.93 64.27 41.87 64.27 36.33 62.27 71.67 62.27 71.47 64.27 70.47 62.27 69.53 63.27 70.73 60.27 69.93 58.27 68.73 55.27 67.53 51.27
Names of X columns:
PMENT NOPMENT
box colour
Notched Boxes
TRUE
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,]) 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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Big Analytics Cloud Computing Center
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