Box plot and matrix scatter graph showing the results of final year student...

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70.8	70.95
69.6	70.61
69.87	68.61
67.47	68.28
67.6	67.61
67.13	65.61
66.27	68.95
66.73	67.28
68.07	64.95
67.8	67.95
64.8	64.95
64.6	65.95
64.2	66.61
64.2	64.61
63.67	63.95
61	64.61
59.67	63.61
59.67	62.95
59.8	62.95
60.73	63.61
59.4	61.61
58.07	63.61
57.47	60.28
70.73	57.95
72.87	62.95
66	53.61
66.07	75.61
66	74.61
66.27	73.28
64	70.28
63.67	70.28
63.73	67.61
63.33	69.61
63.53	68.61
63.53	68.28
62.87	65.95
59.53	67.95
62.8	68.95
60.8	65.95
59.8	66.28
56.67	65.61
57.67	67.95
58.4	65.61
55.47	66.61
56.2	63.95
71.53	63.61
68.67	65.95
65.67	62.95
66.73	62.28
67.33	60.95
66.73	63.95
66.87	62.28
65.8	61.28
64.73	61.95
65.47	62.95
63.6	59.61
64.07	60.28
64.67	59.95
63.73	57.61
62.53	57.95
61.93	55.28
62.67	51.28
62.8	8.61
61.33	74.28
62.6	72.95
59.13	71.95
61.27	70.28
59.47	69.95
57.87	69.95
59.73	67.95
61.4	67.95
58.8	68.28
58.33	66.28
57.47	66.28
57.13	65.95
55	65.95
51.53	67.61
72.73	65.28
73	66.61
70.8	64.61
70.07	64.61
71.67	64.95
71.07	61.95
70.67	62.61
70.73	62.28
70.73	61.61
68.6	60.95
69.6	62.28
66.47	59.61
67.07	59.95
68.67	58.95
66.93	60.61
65.93	59.28
68.87	59.28
66.53	58.95
65.8	58.61
66.6	53.28
66	52.61
65	53.95
66.8	47.95
65.6	10.61
66	7.28
65.67	70.95
64.67	71.61
65.07	69.61
64.67	70.28
65.07	69.95
65.2	70.95
64.87	69.95
63.47	69.28
62.6	68.95
64.07	70.95
63.73	67.95
64.67	67.61
61.6	67.95
61.6	67.61
60.47	67.95
61.27	67.28
63	65.95
61.47	65.61
60.87	64.95
61.67	64.28
62.87	65.95
62.4	65.61
59.73	62.95
60.13	64.61
58.8	63.95
59.6	63.61
58.93	63.95
60.13	65.28
58.2	65.28
58.27	64.28
58.27	64.28
55.07	62.95
53.87	62.61
52.33	62.28
47.2	60.61
37.93	58.95
72.73	59.61
70.07	58.28
70.67	56.95
72.07	48.28
68.8	69.95
68.8	69.28
67.47	70.61
66.73	68.28
66.53	66.61
66	65.61
67.6	67.28
66	67.95
66	66.28
66.53	65.61
65.8	68.95
64.27	66.95
64.67	68.28
64.6	65.28
64.13	64.95
65.47	63.95
62.93	64.61
63.53	60.95
62.13	60.95
63.87	58.61
64.67	55.28
63.33	55.28
63.13	51.28
62.8	72.28
62.4	69.28
62.4	68.28
62.6	68.28
61.47	68.28
62.2	66.28
63	65.28
61.8	64.28
59.73	64.28
60.33	66.28
60.13	64.28
59.53	63.28
59	65.28
55.93	64.28
41.87	64.28
36.33	62.28
71.67	62.28
71.47	64.28
70.47	62.28
69.53	63.28
70.73	60.28
69.93	58.28
68.73	55.28
67.53	51.28

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('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('lower_whisker.htm','lower whisker','definition of lower whisker'),1,TRUE)
a<-table.element(a,hyperlink('lower_hinge.htm','lower hinge','definition of lower hinge'),1,TRUE)
a<-table.element(a,hyperlink('central_tendency.htm','median','definitions about measures of central tendency'),1,TRUE)
a<-table.element(a,hyperlink('upper_hinge.htm','upper hinge','definition of upper hinge'),1,TRUE)
a<-table.element(a,hyperlink('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,signif(r$stats[j,i], digits=4))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
if (par2){
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Boxplot Notches',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,'lower bound',1,TRUE)
a<-table.element(a,'median',1,TRUE)
a<-table.element(a,'upper bound',1,TRUE)
a<-table.row.end(a)
for (i in 1:length(y[,1]))
{
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
a<-table.element(a,signif(r$conf[1,i], digits=4))
a<-table.element(a, signif(r$stats[3,i], digits=4))
a<-table.element(a,signif(r$conf[2,i], digits=4))
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('trimmed_mean.htm','trimmed mean','definition of trimmed mean'),1,TRUE)
a<-table.element(a,hyperlink('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,signif(mean(z[i], trim=par3/100, na.rm=TRUE), digits=4))
a<-table.element(a,signif(sd(z[i], na.rm=TRUE), digits=4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')