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Data X:
100.00 100.00 100.00 100.00 100.00 100.39 100.37 100.35 100.33 100.31 100.15 100.26 100.38 100.50 100.61 100.21 100.37 100.52 100.68 100.84 100.03 100.18 100.34 100.49 100.64 99.58 99.78 99.97 100.17 100.36 99.40 99.64 99.88 100.13 100.37 99.77 100.01 100.26 100.50 100.75 100.41 100.67 100.93 101.19 101.45 100.12 100.50 100.88 101.25 101.63 99.83 100.28 100.73 101.18 101.63 99.73 100.24 100.74 101.25 101.75 98.74 99.49 100.25 101.00 101.76 98.44 99.36 100.29 101.22 102.14 98.79 99.68 100.57 101.46 102.35 99.60 100.42 101.24 102.05 102.87 99.82 100.75 101.69 102.62 103.55 99.85 100.87 101.89 102.90 103.92 100.01 101.04 102.07 103.10 104.13 100.28 101.36 102.43 103.51 104.58 100.63 101.57 102.51 103.45 104.39 101.14 101.93 102.71 103.50 104.29 101.51 102.37 103.22 104.08 104.93 102.41 103.10 103.79 104.48 105.17 102.46 103.22 103.99 104.75 105.52 102.09 102.96 103.83 104.70 105.57 101.99 102.77 103.55 104.33 105.11 101.52 102.38 103.24 104.11 104.97 102.44 103.10 103.77 104.43 105.09 103.42 103.90 104.37 104.85 105.33 103.63 104.12 104.61 105.11 105.60 103.28 103.75 104.21 104.68 105.14 103.98 104.37 104.77 105.16 105.56 103.56 103.94 104.33 104.71 105.09 103.42 103.78 104.14 104.51 104.87 103.92 104.15 104.37 104.59 104.81 103.81 104.01 104.20 104.40 104.60 103.09 103.33 103.58 103.83 104.07 102.60 103.05 103.51 103.96 104.41 102.77 103.08 103.39 103.71 104.02 102.60 102.86 103.11 103.37 103.62 102.88 103.08 103.28 103.48 103.68 102.17 102.50 102.83 103.15 103.48 101.85 102.20 102.56 102.91 103.27 101.66 102.14 102.62 103.10 103.58 101.91 102.28 102.66 103.03 103.41 102.13 102.43 102.72 103.02 103.31 102.71 102.82 102.92 103.02 103.13 103.17 103.22 103.26 103.31 103.36 102.89 102.95 103.02 103.08 103.14 102.94 103.14 103.33 103.53 103.73 103.33 103.45 103.57 103.68 103.80 103.75 103.68 103.61 103.54 103.46 104.11 103.98 103.85 103.72 103.60 104.77 104.49 104.22 103.94 103.67 104.62 104.39 104.15 103.92 103.68 105.00 104.76 104.52 104.28 104.04 105.74 105.51 105.27 105.03 104.79 105.94 105.77 105.60 105.43 105.26 106.37 106.18 105.99 105.80 105.62 106.65 106.44 106.23 106.03 105.82 107.08 106.74 106.40 106.05 105.71 106.77 106.51 106.25 106.00 105.74 107.21 106.97 106.74 106.50 106.26 107.34 107.15 106.96 106.78 106.59 107.12 106.93 106.74 106.55 106.36 106.86 106.73 106.59 106.46 106.33 106.92 106.78 106.65 106.51 106.37 106.95 106.75 106.56 106.36 106.17 107.23 106.96 106.69 106.42 106.16 106.94 106.80 106.66 106.51 106.37 106.62 106.51 106.40 106.29 106.18 105.94 105.97 105.99 106.01 106.03 105.91 105.95 105.99 106.03 106.08 106.52 106.45 106.38 106.31 106.24 106.85 106.63 106.41 106.19 105.97 107.22 106.99 106.75 106.52 106.28 107.28 107.09 106.90 106.71 106.52 107.86 107.57 107.29 107.00 106.72 107.68 107.46 107.24 107.02 106.80 108.07 107.82 107.56 107.31 107.06 107.87 107.66 107.45 107.23 107.02 107.65 107.50 107.35 107.19 107.04 108.16 107.89 107.63 107.36 107.09 108.60 108.24 107.88 107.51 107.15 108.92 108.57 108.21 107.86 107.50 109.66 109.22 108.78 108.34 107.90 109.87 109.40 108.94 108.48 108.02 109.54 109.10 108.66 108.22 107.78 109.06 108.72 108.38 108.04 107.70
Names of X columns:
IND90_UT10 IND70_UT30 IND50_UT50 IND30_UT70 IND10_UT90
Sample Range:
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grey
grey
white
blue
red
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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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