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Data X:
51 1 56 1 67 1 69 1 57 0 56 1 55 1 63 0 67 1 65 0 47 0 76 1 64 1 68 1 64 1 65 1 71 1 63 1 60 1 68 0 72 1 70 1 61 1 61 1 62 1 71 1 71 0 51 1 56 1 70 1 73 1 76 1 68 0 48 0 52 1 60 0 59 0 57 1 79 0 60 1 60 1 59 0 62 1 59 1 61 1 71 0 57 0 66 0 63 0 69 1 58 0 59 1 48 0 66 1 73 0 67 1 61 0 68 0 75 1 62 0 69 1 58 1 60 1 74 1 55 1 62 0 63 1 69 0 58 0 58 0 68 1 72 0 62 1 62 0 65 0 69 0 66 0 72 1 62 1 75 1 58 1 66 0 55 0 47 1 72 0 62 0 64 0 64 0 19 1 50 1 68 0 70 0 79 1 69 0 71 1 48 1 73 0 74 1 66 1 71 1 74 0 78 0 75 0 53 1 60 1 70 1 69 1 65 0 78 0 78 0 59 1 72 1 70 0 63 0 63 0 71 1 74 1 67 0 66 0 62 0 80 1 73 1 67 1 61 1 73 0 74 1 32 1 69 1 69 0 84 0 64 1 58 0 59 1 78 1 57 0 60 1 68 0 68 1 73 1 69 0 67 1 60 0 65 1 66 0 74 1 81 0 72 0 55 1 49 1 74 0 53 1 64 1 65 0 57 1 51 0 80 0 67 1 70 1 74 0 75 1 70 0 69 0 65 1 55 0 71 0 65 1
Names of X columns:
AMS.E gender
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grey
grey
white
blue
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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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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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