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Data X:
70.80 69.60 69.87 67.47 67.60 67.13 66.27 66.73 68.07 67.80 64.80 64.60 64.20 64.20 63.67 61.00 59.67 59.67 59.80 60.73 59.40 58.07 57.47 70.73 72.87 66.00 66.07 66.00 66.27 64.00 63.67 63.73 63.33 63.53 63.53 62.87 59.53 62.80 60.80 59.80 56.67 57.67 58.40 55.47 56.20 71.53 68.67 65.67 66.73 67.33 66.73 66.87 65.80 64.73 65.47 63.60 64.07 64.67 63.73 62.53 61.93 62.67 62.80 61.33 62.60 59.13 61.27 59.47 57.87 59.73 61.40 58.80 58.33 57.47 57.13 55.00 51.53 72.73 73.00 70.80 70.07 71.67 71.07 70.67 70.73 70.73 68.60 69.60 66.47 67.07 68.67 66.93 65.93 68.87 66.53 65.80 66.60 66.00 65.00 66.80 65.60 66.00 65.67 64.67 65.07 64.67 65.07 65.20 64.87 63.47 62.60 64.07 63.73 64.67 61.60 61.60 60.47 61.27 63.00 61.47 60.87 61.67 62.87 62.40 59.73 60.13 58.80 59.60 58.93 60.13 58.20 58.27 58.27 55.07 53.87 52.33 47.20 37.93 72.73 70.07 70.67 72.07 68.80 68.80 67.47 66.73 66.53 66.00 67.60 66.00 66.00 66.53 65.80 64.27 64.67 64.60 64.13 65.47 62.93 63.53 62.13 63.87 64.67 63.33 63.13 62.80 62.40 62.40 62.60 61.47 62.20 63.00 61.80 59.73 60.33 60.13 59.53 59.00 55.93 41.87 36.33 71.67 71.47 70.47 69.53 70.73 69.93 68.73 67.5366.67 66.33 64.33 64.00 63.33 61.33 64.67 63.00 60.67 63.67 60.67 61.67 62.33 60.33 59.67 60.33 59.33 58.67 58.67 59.33 57.33 59.33 56.00 53.67 58.67 49.33 71.33 70.33 69.00 66.00 66.00 63.33 65.33 64.33 64.00 61.67 63.67 64.67 61.67 62.00 61.33 63.67 61.33 62.33 59.67 59.33 61.67 58.67 58.00 56.67 59.67 58.00 57.00 57.67 58.67 55.33 56.00 55.67 53.33 53.67 51.00 47.00 4.33 70.00 68.67 67.67 66.00 65.67 65.67 63.67 63.67 64.00 62.00 62.00 61.67 61.67 63.33 61.00 62.33 60.33 60.33 60.67 57.67 58.33 58.00 57.33 56.67 58.00 55.33 55.67 54.67 56.33 55.00 55.00 54.67 54.33 49.00 48.33 49.67 43.67 6.33 3.00 66.67 67.33 65.33 66.00 65.67 66.67 65.67 65.00 64.67 66.67 63.67 63.33 63.67 63.33 63.67 63.00 61.67 61.33 60.67 60.00 61.67 61.33 58.67 60.33 59.67 59.33 59.67 61.00 61.00 60.00 60.00 58.67 58.33 58.00 56.33 54.67 55.33 54.00 52.67 44.00 65.67 65.00 66.33 64.00 62.33 61.33 63.00 63.67 62.00 61.33 64.67 62.67 64.00 61.00 60.67 59.67 60.33 56.67 56.67 54.33 51.00 51.00 47.00 68.00 65.00 64.00 64.00 64.00 62.00 61.00 60.00 60.00 62.00 60.00 59.00 61.00 60.00 60.00 58.00 58.00 60.00 58.00 59.00 56.00 54.00 51.00 47.00
Names of X columns:
Placement No-Placement
box colour
Notched Boxes
FALSE
TRUE
FALSE
% to trim
Chart options
Title:
Label y-axis:
Label x-axis:
R Code
par3 <- '0' par2 <- 'FALSE' 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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R Server
Big Analytics Cloud Computing Center
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