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26	21	21	23	17	23	82
20	16	15	24	17	20	72
19	19	18	22	18	20	77
20	16	8	24	20	24	68
25	23	19	27	28	22	97
22	12	20	27	22	20	81
26	19	16	24	16	25	75
22	16	14	23	18	23	71
19	13	14	27	14	22	68
24	20	8	28	11	24	67
26	27	23	27	27	25	104
13	8	9	24	22	28	63
22	13	15	25	23	25	76
21	15	19	24	24	28	82
7	5	6	20	14	21	45
17	14	11	26	23	27	74
25	24	17	23	24	14	88
25	24	17	23	24	14	88
19	9	5	20	8	27	42
23	19	15	24	23	21	81
22	19	17	23	21	21	80
21	18	20	18	24	12	80
18	12	7	23	25	28	67
22	25	15	26	23	22	89
18	19	15	26	21	27	81
23	20	10	23	21	26	74
20	24	14	22	26	22	86
15	12	9	20	18	24	59
21	17	18	25	17	22	77
18	16	17	22	15	21	70
19	11	14	23	13	23	61
22	20	16	25	26	28	87
16	11	10	23	16	10	60
18	20	10	22	21	21	73
20	19	14	24	20	21	77
24	17	10	25	14	24	66
24	18	9	17	20	25	64
18	17	12	20	22	23	71
21	27	16	23	20	21	86
17	19	18	20	18	17	75
22	19	18	24	24	25	85
16	11	9	24	20	23	64
21	22	19	28	19	28	88
24	20	23	25	23	19	91
24	24	22	25	26	26	97
16	16	14	18	22	18	70
16	16	14	17	20	18	67
18	11	12	22	13	21	58
20	20	12	25	22	22	79
24	20	16	26	22	27	84
17	12	11	19	20	22	62
19	8	14	25	6	28	53
20	21	13	21	21	26	76
15	18	9	13	20	10	60
22	16	13	25	23	22	77
23	18	19	26	20	21	83
16	20	13	25	24	24	82
19	20	13	25	22	25	80
19	17	14	21	18	20	70
21	15	11	24	23	23	73
24	17	18	21	21	24	77
22	23	19	25	24	24	91
18	19	15	20	21	20	75
24	17	19	23	20	20	79
24	12	15	28	11	27	66
22	24	17	23	22	23	86
23	18	8	28	27	26	81
22	20	10	24	25	23	79
20	16	12	18	18	17	64
18	20	12	20	20	21	72
25	22	20	28	24	25	94
16	16	12	21	27	27	76
20	17	14	25	21	24	77
15	12	10	18	18	27	58
19	14	18	21	15	21	68
19	23	18	22	24	24	87
16	15	7	24	22	21	68
17	17	18	15	14	15	64
28	28	9	28	28	25	93
25	23	22	23	26	22	94
20	13	11	26	17	24	67
16	19	15	20	18	23	72
23	13	14	22	11	23	60
21	22	14	26	26	22	88
23	20	20	23	23	22	86
18	10	8	21	15	24	54
20	17	17	26	22	24	82
9	18	9	23	26	25	76
25	23	22	27	20	26	92
20	17	10	19	18	21	64
21	19	12	22	19	26	72
22	18	12	25	23	28	78
27	22	20	25	24	18	91
18	16	18	25	23	20	82
16	16	16	19	27	25	78
22	16	13	25	23	22	77
20	16	17	22	18	21	73
20	18	17	20	16	18	71

z <- as.data.frame(t(y))
bitmap(file='test1.png')
(r<-boxplot(z ,xlab=xlab,ylab=ylab,main=main,notch=TRUE,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,r$stats[j,i])
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Boxplot Notches',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,'lower bound',1,TRUE)
a<-table.element(a,'median',1,TRUE)
a<-table.element(a,'upper bound',1,TRUE)
a<-table.row.end(a)
for (i in 1:length(y[,1]))
{
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
a<-table.element(a,r$conf[1,i])
a<-table.element(a,r$stats[3,i])
a<-table.element(a,r$conf[2,i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')