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11	8	7	18	12	20	4
15	18	18	23	20	25	9
19	18	20	23	20	19	4
16	12	9	22	14	18	5
24	24	19	22	25	24	4
15	16	12	19	15	20	4
17	19	16	25	20	20	9
19	16	17	28	21	24	8
19	15	9	16	15	21	11
28	28	28	28	28	28	4
26	21	20	21	11	10	4
15	18	16	22	22	22	6
26	22	22	24	22	19	4
16	19	17	24	27	27	8
24	22	12	26	24	23	4
25	25	18	28	23	24	4
22	20	20	24	24	24	11
15	16	12	20	21	25	4
21	19	16	26	20	24	4
22	18	16	21	19	21	6
27	26	21	28	25	28	6
26	24	15	27	16	28	4
26	20	17	23	24	22	8
22	19	17	24	21	26	5
21	19	17	24	22	26	4
22	23	18	22	25	21	9
20	18	15	21	23	26	4
21	16	20	25	20	23	7
20	18	13	20	21	20	10
22	21	21	21	22	24	4
21	20	12	26	25	25	4
8	15	6	23	23	24	7
22	19	13	21	19	20	12
20	19	19	27	21	24	7
24	7	12	25	19	25	5
17	20	14	23	25	23	8
20	20	13	25	16	21	5
23	19	12	23	24	23	4
20	19	17	19	24	21	9
22	20	19	22	18	18	7
19	18	10	24	28	24	4
15	14	10	19	15	18	4
20	17	11	21	17	21	4
22	17	11	27	18	23	4
17	8	10	25	26	25	4
14	9	7	25	18	22	7
24	22	22	23	22	22	4
17	20	12	17	19	23	7
23	20	18	28	17	24	4
25	22	20	25	26	25	4
16	22	9	20	21	22	4
18	22	16	25	26	24	4
20	16	14	21	21	21	8
18	14	11	24	12	24	4
23	24	20	28	20	25	4
24	21	17	20	20	23	4
23	20	14	19	24	27	4
13	20	8	24	24	27	7
20	18	16	21	22	23	12
20	14	11	24	21	18	4
19	19	10	23	20	20	4
22	24	15	18	23	23	4
22	19	15	27	19	24	5
15	16	10	25	24	26	15
17	16	10	20	21	20	5
19	16	18	21	16	23	10
20	14	10	23	17	22	9
22	22	22	27	23	23	8
21	21	16	24	20	17	4
21	15	10	27	19	20	5
16	14	7	24	18	22	4
20	15	16	23	18	18	9
21	14	16	24	21	19	4
20	20	16	21	20	19	10
23	21	22	23	17	16	4
18	14	5	27	25	26	4
22	19	18	24	15	14	6
16	16	10	25	17	25	7
17	13	8	19	17	23	5
24	26	16	24	24	18	4
13	13	8	25	21	22	4
19	18	16	23	22	26	4
20	15	14	23	18	25	4
22	18	15	25	22	26	4
19	21	9	26	20	26	4
21	17	21	26	21	24	6
15	18	7	16	21	22	10
21	20	17	23	20	21	7
24	18	18	26	18	22	4
22	25	16	25	25	28	4
20	20	16	23	23	22	7
21	19	14	26	21	26	4
19	18	15	22	20	20	8
14	12	8	20	21	24	11
25	22	22	27	20	21	6
11	16	5	20	22	23	14
17	18	13	22	15	23	5
22	23	22	24	24	23	4
20	20	18	21	22	22	8
22	20	15	24	21	23	9
15	16	11	26	17	21	4
23	22	19	24	23	27	4
20	19	19	24	22	23	5
22	23	21	27	23	26	4
16	6	4	25	16	27	5
25	19	17	27	18	27	4
18	24	10	19	25	23	4
19	19	13	22	18	23	7
25	15	15	22	14	23	10
21	18	11	25	20	28	4
22	18	20	23	19	24	5
21	22	13	24	18	20	4
22	23	18	24	22	23	4
23	18	20	23	21	22	4
20	17	15	22	14	15	6
6	6	4	24	5	27	4
15	22	9	19	25	23	8
18	20	18	25	21	23	5
24	16	12	26	11	20	4
22	16	17	18	20	18	17
21	17	12	24	9	22	4
23	20	16	28	15	20	4
20	23	17	23	23	21	8
20	18	14	19	21	25	4
18	13	13	19	9	19	7
25	22	20	27	24	25	4
16	20	16	24	16	24	4
20	20	15	26	20	22	5
14	13	10	21	15	28	7
22	16	16	25	18	22	4
26	25	21	28	22	21	4
20	16	15	19	21	23	7
17	15	16	20	21	19	11
22	19	19	26	21	21	7
22	19	9	27	20	25	4
20	24	19	23	24	23	4
17	9	7	18	15	28	4
22	22	23	23	24	14	4
17	15	14	21	18	23	4
22	22	10	23	24	24	4
21	22	16	22	24	25	6
25	24	12	21	15	15	8
11	12	10	14	19	23	23
19	21	7	24	20	26	4
24	25	20	26	26	21	8
17	26	9	24	26	26	6
22	19	14	26	18	15	4
22	21	12	22	23	23	4
17	14	10	20	13	15	7
26	28	19	20	16	16	4
19	16	16	20	19	20	4
20	21	11	18	22	20	4
19	16	15	18	21	20	4
21	16	14	25	11	21	10
24	25	11	28	23	28	6
21	21	14	23	18	19	5
19	22	15	20	19	21	5
13	9	7	22	15	22	4
24	20	22	27	8	27	4
28	19	19	24	15	20	5
27	24	22	23	21	17	5
22	22	11	20	25	26	5
23	22	19	22	14	21	5
19	12	9	21	21	24	4
18	17	11	24	18	21	6
23	18	17	26	18	25	4
21	10	12	24	12	22	4
22	22	17	18	24	17	4
17	24	10	17	17	14	9
15	18	17	23	20	23	18
21	18	13	21	24	28	6
20	23	11	21	22	24	5
26	21	19	24	15	22	4
19	21	21	22	22	24	11
28	28	24	24	26	25	4
21	17	13	24	17	21	10
19	21	16	24	23	22	6
22	21	13	23	19	16	8
21	20	15	21	21	18	8
20	18	15	24	23	27	6
19	17	11	19	19	17	8
11	7	7	19	18	25	4
17	17	13	23	16	24	4
19	14	13	25	23	21	9
20	18	12	24	13	21	9
17	14	8	21	18	19	5
21	23	7	18	23	27	4
21	20	17	23	21	28	4
12	14	9	20	23	19	15
23	17	18	23	16	23	10
22	21	17	23	17	25	9
22	23	17	23	20	26	7
21	24	18	23	18	25	9
20	21	12	27	20	25	6
18	14	14	19	19	24	4
21	24	22	25	26	24	7
24	16	19	25	9	24	4
22	21	21	21	23	22	7
20	8	10	25	9	21	4
17	17	16	17	13	17	15
19	18	11	22	27	23	4
16	17	15	23	22	17	9
19	16	12	27	12	25	4
23	22	21	27	18	19	4
8	17	22	5	6	8	28
22	21	20	19	17	14	4
23	20	15	24	22	22	4
15	20	9	23	22	25	4
17	19	15	28	23	28	5
21	8	14	25	19	25	4
25	19	11	27	20	24	4
18	11	9	16	17	15	12
23	15	18	23	18	25	5
20	13	12	25	24	24	4
21	18	11	26	20	28	6
21	19	14	24	18	24	6
24	23	10	23	23	25	5
22	20	18	24	27	23	4
22	22	11	27	25	26	4
23	19	14	25	24	26	4
17	16	16	19	12	22	10
15	11	11	19	16	25	7
24	11	8	14	16	20	4
22	21	16	24	24	22	4
19	14	13	20	23	26	7
18	21	12	21	24	20	4
21	20	17	28	24	26	4
20	21	23	26	26	26	12
19	20	14	19	19	21	5
19	19	10	23	28	21	8
16	19	16	23	23	24	6
18	18	11	21	21	21	17
23	20	16	26	19	18	4
22	21	19	25	23	23	5
23	22	17	25	23	26	4
20	19	12	24	20	23	5
24	23	17	23	18	25	5
25	16	11	22	20	20	6
25	23	19	27	28	25	4
20	18	12	26	21	26	4
23	23	8	23	25	19	4
21	20	17	22	18	21	6
23	20	13	26	24	23	8
23	23	17	22	28	24	10
11	13	7	17	9	6	4
21	21	23	25	22	22	5
27	26	18	22	26	21	4
19	18	13	28	28	28	4
21	19	17	22	18	24	4
16	18	13	21	23	14	16
22	19	13	21	22	17	4
21	18	8	24	15	20	7
22	19	16	26	24	28	4
16	13	14	26	12	19	4
18	10	13	24	12	24	14
23	21	19	27	20	21	5
24	24	15	22	25	21	5
20	21	15	23	24	26	5
20	23	8	22	23	24	5
18	18	14	23	18	26	7
4	11	7	15	20	25	19
14	16	11	20	22	23	16
22	20	17	22	20	24	4
17	20	19	25	25	24	4
23	26	17	27	28	26	7
20	21	12	24	25	23	9
18	12	12	21	14	20	5
19	15	18	17	16	16	14
20	18	16	26	24	24	4
15	14	15	20	13	20	16
24	18	20	22	19	23	10
21	16	16	24	18	23	5
19	19	12	23	16	18	6
19	7	10	22	8	21	4
27	21	28	28	27	25	4
23	24	19	21	23	23	4
23	21	18	24	20	26	5
20	20	19	28	20	26	4
17	22	8	25	26	24	4
21	17	17	24	23	23	5
23	19	16	24	24	21	4
22	20	18	21	21	23	4
16	16	12	20	15	20	5
20	20	17	26	22	23	8
16	16	13	16	25	24	15

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')