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Type 'q()' to quit R. > x <- array(list(88 + ,95 + ,95 + ,81 + ,84 + ,98 + ,92 + ,87 + ,90 + ,97 + ,89 + ,95 + ,91 + ,91 + ,88 + ,81 + ,97 + ,84 + ,87 + ,87 + ,88 + ,92 + ,92 + ,89 + ,92 + ,95 + ,104 + ,84 + ,85 + ,91 + ,79 + ,79 + ,84 + ,81 + ,80 + ,91 + ,78 + ,69 + ,80 + ,73 + ,80 + ,79 + ,84 + ,75 + ,73 + ,91 + ,86 + ,84 + ,84 + ,77 + ,85 + ,92 + ,85 + ,91 + ,86 + ,94 + ,78 + ,89 + ,87 + ,82 + ,86 + ,86 + ,83 + ,90 + ,82 + ,82 + ,71 + ,86 + ,72 + ,73 + ,107 + ,90 + ,91 + ,96 + ,99 + ,97 + ,93 + ,90 + ,88 + ,90 + ,78 + ,80 + ,77 + ,73 + ,78 + ,91 + ,90 + ,88 + ,86 + ,100 + ,74 + ,77 + ,88 + ,67 + ,73 + ,95 + ,86 + ,88 + ,89 + ,95 + ,97 + ,89 + ,102 + ,94 + ,93 + ,112 + ,88 + ,103 + ,88 + ,91 + ,80 + ,86 + ,84 + ,77 + ,81 + ,98 + ,97 + ,87 + ,89 + ,98 + ,102 + ,81 + ,88 + ,104 + ,88 + ,100 + ,88 + ,93 + ,89 + ,90 + ,97 + ,82 + ,101 + ,107 + ,85 + ,92 + ,82 + ,88 + ,96 + ,79 + ,114 + ,100 + ,113 + ,111 + ,107 + ,88 + ,91 + ,95 + ,84 + ,82 + ,96 + ,111 + ,99 + ,83 + ,98 + ,91 + ,102 + ,85 + ,82 + ,84 + ,114 + ,105 + ,105 + ,105 + ,99 + ,91 + ,92 + ,105 + ,100 + ,89 + ,114 + ,100 + ,96 + ,111 + ,105 + ,89 + ,82 + ,88 + ,90 + ,94 + ,103 + ,91 + ,93 + ,87 + ,92 + ,83 + ,71 + ,93 + ,90 + ,81 + ,74 + ,71 + ,69 + ,67 + ,NA + ,88 + ,89 + ,83 + ,84 + ,86 + ,88 + ,82 + ,83 + ,84 + ,90 + ,98 + ,105 + ,93 + ,96 + ,101 + ,74 + ,71 + ,69 + ,67 + ,73 + ,86 + ,91 + ,86 + ,90 + ,88 + ,93 + ,105 + ,90 + ,83 + ,90 + ,85 + ,82 + ,87 + ,78 + ,84 + ,91 + ,86 + ,92 + ,100 + ,89 + ,75 + ,72 + ,75 + ,67 + ,73 + ,97 + ,98 + ,89 + ,94 + ,98 + ,88 + ,80 + ,88 + ,89 + ,82 + ,79 + ,84 + ,87 + ,89 + ,77 + ,106 + ,109 + ,113 + ,111 + ,107 + ,102 + ,80 + ,102 + ,88 + ,84 + ,98 + ,112 + ,101 + ,94 + ,93 + ,98 + ,86 + ,87 + ,111 + ,96 + ,114 + ,112 + ,105 + ,111 + ,107 + ,95 + ,90 + ,101 + ,105 + ,95 + ,98 + ,96 + ,79 + ,97 + ,89 + ,82 + ,84 + ,86 + ,83 + ,82 + ,97 + ,94 + ,95 + ,105 + ,92 + ,94 + ,112 + ,104 + ,69 + ,100 + ,84 + ,81 + ,79 + ,80 + ,75 + ,88 + ,105 + ,86 + ,87 + ,94 + ,83 + ,77 + ,81 + ,67 + ,83 + ,98 + ,105 + ,92 + ,92 + ,92 + ,106 + ,112 + ,95 + ,102 + ,102 + ,94 + ,91 + ,97 + ,90 + ,98 + ,91 + ,92 + ,87 + ,98 + ,94 + ,89 + ,72 + ,94 + ,94 + ,83 + ,102 + ,100 + ,105 + ,101 + ,107 + ,103 + ,103 + ,94 + ,96 + ,107 + ,96 + ,89 + ,88 + ,94 + ,91 + ,89 + ,86 + ,105 + ,105 + ,83 + ,112 + ,112 + ,113 + ,105 + ,100 + ,74 + ,71 + ,69 + ,84 + ,77 + ,74 + ,73 + ,69 + ,72 + ,74 + ,102 + ,99 + ,100 + ,96 + ,92 + ,106 + ,85 + ,113 + ,94 + ,100 + ,91 + ,80 + ,88 + ,107 + ,92 + ,94 + ,88 + ,104 + ,103 + ,93 + ,98 + ,95 + ,94 + ,95 + ,89 + ,85 + ,86 + ,91 + ,73 + ,86 + ,108 + ,92 + ,103 + ,110 + ,97 + ,90 + ,96 + ,95 + ,84 + ,82 + ,74 + ,71 + ,69 + ,67 + ,73 + ,81 + ,88 + ,86 + ,73 + ,93 + ,104 + ,98 + ,108 + ,84 + ,97 + ,90 + ,108 + ,83 + ,79 + ,93 + ,95 + ,103 + ,102 + ,91 + ,89 + ,85 + ,81 + ,94 + ,92 + ,86 + ,114 + ,96 + ,113 + ,107 + ,89 + ,114 + ,112 + ,113 + ,111 + ,107 + ,93 + ,95 + ,93 + ,89 + ,90 + ,104 + ,92 + ,105 + ,110 + ,104 + ,92 + ,103 + ,88 + ,98 + ,96 + ,100 + ,95 + ,90 + ,95 + ,93 + ,92 + ,94 + ,92 + ,84 + ,104 + ,77 + ,79 + ,81 + ,73 + ,83 + ,86 + ,91 + ,86 + ,86 + ,92 + ,87 + ,87 + ,85 + ,98 + ,83 + ,91 + ,82 + ,86 + ,90 + ,83 + ,102 + ,97 + ,97 + ,97 + ,96 + ,100 + ,92 + ,103 + ,106 + ,84 + ,113 + ,112 + ,102 + ,106 + ,107) + ,dim=c(5 + ,104) + ,dimnames=list(c('WJ10AFS' + ,'WJ10AVA' + ,'WJ10ARD' + ,'WJ10AMA' + ,'WJ10AKN') + ,1:104)) > y <- array(NA,dim=c(5,104),dimnames=list(c('WJ10AFS','WJ10AVA','WJ10ARD','WJ10AMA','WJ10AKN'),1:104)) > for (i in 1:dim(x)[1]) + { + for (j in 1:dim(x)[2]) + { + y[i,j] <- as.numeric(x[i,j]) + } + } > par3 = '0' > par2 = 'FALSE' > par1 = '3' > ylab = 'Test Scores' > xlab = 'CARE Variable Names' > main = 'CARE AGE 7 DATA' > par1 <- as.numeric(par1) #colour > par2<- as.logical(par2) # Notches ? > par3<-as.numeric(par3) # % trim > if(par3>45){par3<-45;warning('trim limited to 45%')} > if(par3<0){par3<-0;warning('negative trim makes no sense. Trim is zero.')} > lotrm<-as.integer(length(y[1,])*par3/100)+1 > hitrm<-as.integer(length(y[1,])*(100-par3)/100) > y1<-array(dim=c(dim(y)[1], hitrm-lotrm+1), dimnames=list(dimnames(y)[[1]], 1:(hitrm-lotrm+1) )) > for(i in 1:dim(y)[1]){ + tmp<-order(y[i,]) + y1[i,]<- y[i, tmp[lotrm:hitrm] ] + } > postscript(file="/var/www/rcomp/tmp/1g4kb1320244525.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > pairs(t(y)) > dev.off() null device 1 > y<-y1 > z <- as.data.frame(t(y)) > postscript(file="/var/www/rcomp/tmp/292ix1320244525.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > (r<-boxplot(z ,xlab=xlab,ylab=ylab,main=main,notch=par2,col=par1)) $stats [,1] [,2] [,3] [,4] [,5] [1,] 74 71.0 69.0 67 73 [2,] 86 82.0 86.0 84 83 [3,] 92 91.0 90.0 90 90 [4,] 99 97.5 99.5 98 96 [5,] 114 112.0 113.0 111 107 $n [1] 104 104 104 104 103 $conf [,1] [,2] [,3] [,4] [,5] [1,] 89.98589 88.59856 87.90842 87.83096 87.97613 [2,] 94.01411 93.40144 92.09158 92.16904 92.02387 $out numeric(0) $group numeric(0) $names [1] "WJ10AFS" "WJ10AVA" "WJ10ARD" "WJ10AMA" "WJ10AKN" > dev.off() null device 1 > > #Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/rcomp/createtable") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,hyperlink('http://www.xycoon.com/overview.htm','Boxplot statistics','Boxplot overview'),6,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Variable',1,TRUE) > a<-table.element(a,hyperlink('http://www.xycoon.com/lower_whisker.htm','lower whisker','definition of lower whisker'),1,TRUE) > a<-table.element(a,hyperlink('http://www.xycoon.com/lower_hinge.htm','lower hinge','definition of lower hinge'),1,TRUE) > a<-table.element(a,hyperlink('http://www.xycoon.com/central_tendency.htm','median','definitions about measures of central tendency'),1,TRUE) > a<-table.element(a,hyperlink('http://www.xycoon.com/upper_hinge.htm','upper hinge','definition of upper hinge'),1,TRUE) > a<-table.element(a,hyperlink('http://www.xycoon.com/upper_whisker.htm','upper whisker','definition of upper whisker'),1,TRUE) > a<-table.row.end(a) > for (i in 1:length(y[,1])) + { + a<-table.row.start(a) + a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE) + for (j in 1:5) + { + a<-table.element(a,round(r$stats[j,i], digits=2)) + } + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/www/rcomp/tmp/3i9y01320244525.tab") > if (par2){ + 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,round(r$conf[1,i], digits=2)) + a<-table.element(a, round(r$stats[3,i], digits=2)) + a<-table.element(a,round(r$conf[2,i], digits=2)) + a<-table.row.end(a) + } + a<-table.end(a) + table.save(a,file="/var/www/rcomp/tmp/4u3ig1320244525.tab") + } > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Boxplot Means',4,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/trimmed_mean.htm','trimmed mean','definition of trimmed mean'),1,TRUE) > a<-table.element(a,hyperlink('http://www.xycoon.com/unbiased1.htm','unbiased SD','definition of unbiased SD'),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,round(mean(z[i], trim=par3/100, na.rm=TRUE), digits=2)) + a<-table.element(a,round(sd(z[i], na.rm=TRUE), digits=2)) + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/www/rcomp/tmp/5pyye1320244525.tab") > > try(system("convert tmp/1g4kb1320244525.ps tmp/1g4kb1320244525.png",intern=TRUE)) character(0) > try(system("convert tmp/292ix1320244525.ps tmp/292ix1320244525.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.370 0.130 1.519