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Data X:
3013.24 2638.53 1995.37 2196.72 2921.44 3494.17 4290.89 4116.68 2987.1 2720.25 1946.81 2350.44 2981.85 3667.03 4443.91 3844.49 2995.55 2745.88 1765.9 2440.25 3080.58 3813.06 4502.64 3720.98 2833.18 2735.7 1635.25 2408.64 3106.22 3917.96 4356.98 3674.4 2848.96 2811.7 1833.42 2472.81 3119.31 3895.51 4591.27 3857.62 2794.83 2799.43 1910.43 2407.6 3061.26 3801.06 4696.96 3801.06 2845.26 2555.28 1959.67 2454.62 3097.31 3570.12 4621.4 3504.37 2915.02 2304.98 1969.6 2448.05 3161.69 3701.61 4562.84 3032.6 2892.63 2214.95 2061.41 2497.84 3257.16 3862.27 4202.52 3047.03 2604.42 2065.81 2093.48 2645.64 3277.01 3970.1 4296.49 2962.34 2641.65 1940.49 2120.88 2756.76 3295.32 4138.52 4435.23 2197.82 2659.81 2042 2174.56 2849.27 3363.99 4199.75 4105.18 2014.45
Names of X columns:
jaar1 jaar2 jaar3 jaar4 jaar5 jaar6 jaar7 jaar8
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Omit all rows with missing values?
no
yes
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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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0 seconds
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Big Analytics Cloud Computing Center
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