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CSV
Data X:
100.00 100.00 100.00 100.00 98.78 99.88 101.71 99.74 96.87 98.97 102.79 98.76 94.36 96.73 102.21 96.67 92.60 95.72 101.62 95.44 94.19 96.37 102.72 96.51 111.67 101.42 102.64 105.55 120.38 102.11 98.75 108.61 112.53 105.44 110.46 108.94 113.05 105.21 108.37 108.71 108.02 103.32 106.77 105.66 109.70 102.70 105.92 105.89 108.79 101.92 105.23 105.08 106.53 102.24 108.18 104.81 105.06 101.71 107.72 103.93 102.52 100.01 106.09 101.92 100.42 99.37 106.71 100.91 101.49 99.43 105.70 101.19 118.60 104.84 106.51 110.39 122.94 106.00 101.63 111.84 114.98 108.62 112.86 111.72 111.51 105.30 112.85 108.85 106.02 104.15 110.70 105.88 107.20 103.58 111.45 106.19 101.41 106.75 112.12 105.53 101.42 105.13 113.06 104.93 98.32 103.69 113.25 103.11 99.32 101.72 110.21 102.11 97.65 101.80 112.49 101.86 97.79 102.68 109.70 101.89 111.01 108.77 112.29 110.18 111.28 110.99 112.20 111.29 106.63 111.76 114.67 110.24 96.56 108.60 112.00 104.50 91.53 105.76 107.82 100.61 89.99 103.89 107.49 99.10 89.99 105.28 107.16 99.69 85.87 104.37 106.60 97.60 82.37 100.57 106.87 94.55 79.82 101.27 104.51 93.53 77.37 97.62 104.36 90.88 77.72 92.16 105.53 88.68 93.56 99.80 108.60 98.76 93.60 103.00 109.59 100.40 84.41 101.67 110.02 96.32 80.23 99.65 109.64 93.73 76.97 96.09 108.54 90.67 79.22 95.88 108.66 91.45 78.48 97.84 107.71 91.93 75.93 97.25 105.05 90.26 74.88 92.48 104.69 87.60 73.81 92.57 104.35 87.18 69.83 88.35 102.79 83.47 73.12 88.63 103.23 84.93 86.26 96.54 105.42 93.96 86.51 98.09 106.17 94.89 80.62 96.99 106.09 92.11 78.32 93.81 107.74 90.01 77.15 93.25 107.38 89.25 82.34 94.22 108.02 91.79 86.21 95.21 109.34 93.94 87.51 95.51 110.28 94.72 88.59 95.61 111.51 95.38 87.36 96.15 113.21 95.41 86.02 93.19 110.49 93.11 90.32 93.82 112.40 95.36 103.38 101.67 114.49 104.31 104.93 103.55 116.55 106.09 99.03 101.93 117.58 103.24
Names of X columns:
wl_vla wl_wa wl_bru wl_bel
Sample Range:
(leave blank to include all observations)
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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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