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Browser Blue - Charts White
Browser Black/White
CSV
Data X:
110.40 109.20 99.90 72.50 96.40 88.60 99.80 59.40 101.90 94.30 99.80 85.70 106.20 98.30 100.30 88.20 81.00 86.40 99.90 62.80 94.70 80.60 99.90 87.00 101.00 104.10 100.00 79.20 109.40 108.20 100.10 112.00 102.30 93.40 100.10 79.20 90.70 71.90 100.20 132.10 96.20 94.10 100.30 40.10 96.10 94.90 100.60 69.00 106.00 96.40 100.00 59.40 103.10 91.10 100.10 73.80 102.00 84.40 100.20 57.40 104.70 86.40 100.00 81.10 86.00 88.00 100.10 46.60 92.10 75.10 100.10 41.40 106.90 109.70 100.10 71.20 112.60 103.00 100.50 67.90 101.70 82.10 100.50 72.00 92.00 68.00 100.50 145.50 97.40 96.40 96.30 39.70 97.00 94.30 96.30 51.90 105.40 90.00 96.80 73.70 102.70 88.00 96.80 70.90 98.10 76.10 96.90 60.80 104.50 82.50 96.80 61.00 87.40 81.40 96.80 54.50 89.90 66.50 96.80 39.10 109.80 97.20 96.80 66.60 111.70 94.10 97.00 58.50 98.60 80.70 97.00 59.80 96.90 70.50 97.00 80.90 95.10 87.80 96.80 37.30 97.00 89.50 96.90 44.60 112.70 99.60 97.20 48.70 102.90 84.20 97.30 54.00 97.40 75.10 97.30 49.50 111.40 92.00 97.20 61.60 87.40 80.80 97.30 35.00 96.80 73.10 97.30 35.70 114.10 99.80 97.30 51.30 110.30 90.00 97.30 49.00 103.90 83.10 97.30 41.50 101.60 72.40 97.30 72.50 94.60 78.80 98.10 42.10 95.90 87.30 96.80 44.10 104.70 91.00 96.80 45.10 102.80 80.10 96.80 50.30 98.10 73.60 96.80 40.90 113.90 86.40 96.80 47.20 80.90 74.50 96.80 36.90 95.70 71.20 96.80 40.90 113.20 92.40 96.80 38.30 105.90 81.50 96.80 46.30 108.80 85.30 96.80 28.40 102.30 69.90 96.80 78.40 99.00 84.20 96.90 36.80 100.70 90.70 97.10 50.70 115.50 100.30 97.10 42.80
Names of X columns:
Industrie Kleding Prijsindex Investeringen
Sample Range:
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Color
grey
grey
white
blue
red
black
brown
yellow
Omit all rows with missing values?
no
yes
Chart options
Title:
Label y-axis:
Label x-axis:
R Code
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('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,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')
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Raw Output
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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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