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Type 'q()' to quit R. > x <- array(list(91.46 + ,73.74 + ,94.69 + ,90.70 + ,90.24 + ,72.73 + ,92.27 + ,89.53 + ,93.90 + ,77.78 + ,99.52 + ,90.70 + ,96.34 + ,82.83 + ,103.86 + ,90.70 + ,93.90 + ,84.85 + ,102.42 + ,89.53 + ,86.59 + ,83.84 + ,95.65 + ,87.21 + ,75.61 + ,78.79 + ,83.57 + ,82.56 + ,70.73 + ,75.76 + ,80.19 + ,80.23 + ,74.39 + ,79.80 + ,94.20 + ,82.56 + ,84.15 + ,83.84 + ,107.25 + ,84.88 + ,89.02 + ,87.88 + ,114.49 + ,87.21 + ,87.80 + ,82.83 + ,106.76 + ,84.88 + ,74.39 + ,69.70 + ,73.91 + ,80.23 + ,70.73 + ,65.66 + ,64.73 + ,76.74 + ,74.39 + ,68.69 + ,69.08 + ,77.91 + ,78.05 + ,71.72 + ,73.91 + ,77.91 + ,82.93 + ,76.77 + ,81.16 + ,80.23 + ,82.93 + ,79.80 + ,84.06 + ,82.56 + ,79.27 + ,80.81 + ,82.61 + ,83.72 + ,75.61 + ,79.80 + ,82.13 + ,82.56 + ,76.83 + ,79.80 + ,87.44 + ,81.40 + ,78.05 + ,77.78 + ,92.27 + ,79.07 + ,80.49 + ,81.82 + ,99.03 + ,81.40 + ,81.71 + ,84.85 + ,101.93 + ,84.88 + ,78.05 + ,83.84 + ,88.89 + ,88.37 + ,82.93 + ,88.89 + ,92.75 + ,93.02 + ,85.37 + ,92.93 + ,96.14 + ,94.19 + ,84.15 + ,91.92 + ,89.86 + ,91.86 + ,86.59 + ,91.92 + ,88.89 + ,90.70 + ,87.80 + ,91.92 + ,89.86 + ,90.70 + ,86.59 + ,90.91 + ,90.82 + ,91.86 + ,85.37 + ,90.91 + ,96.14 + ,93.02 + ,84.15 + ,93.94 + ,103.38 + ,93.02 + ,81.71 + ,98.99 + ,111.11 + ,93.02 + ,80.49 + ,101.01 + ,112.56 + ,93.02 + ,84.15 + ,98.99 + ,109.18 + ,94.19 + ,89.02 + ,90.91 + ,90.82 + ,97.67 + ,96.34 + ,90.91 + ,90.82 + ,100.00 + ,100.00 + ,90.91 + ,92.75 + ,98.84 + ,100.00 + ,92.93 + ,93.72 + ,98.84 + ,100.00 + ,94.95 + ,97.58 + ,98.84 + ,98.78 + ,94.95 + ,99.03 + ,98.84 + ,96.34 + ,93.94 + ,103.86 + ,98.84 + ,93.90 + ,92.93 + ,105.80 + ,98.84 + ,93.90 + ,96.97 + ,110.63 + ,98.84 + ,92.68 + ,103.03 + ,113.53 + ,98.84 + ,91.46 + ,104.04 + ,113.53 + ,97.67 + ,91.46 + ,102.02 + ,111.59 + ,98.84 + ,86.59 + ,90.91 + ,94.20 + ,98.84 + ,91.46 + ,89.90 + ,95.65 + ,100.00 + ,91.46 + ,91.92 + ,98.55 + ,97.67 + ,95.12 + ,95.96 + ,98.07 + ,98.84 + ,95.12 + ,96.97 + ,98.55 + ,97.67 + ,95.12 + ,95.96 + ,100.00 + ,96.51 + ,92.68 + ,92.93 + ,102.90 + ,96.51 + ,91.46 + ,92.93 + ,106.28 + ,96.51 + ,93.90 + ,101.01 + ,114.49 + ,100.00 + ,98.78 + ,110.10 + ,123.67 + ,103.49 + ,97.56 + ,112.12 + ,123.19 + ,103.49 + ,92.68 + ,105.05 + ,114.98 + ,100.00 + ,80.49 + ,85.86 + ,86.96 + ,93.02 + ,79.27 + ,80.81 + ,82.13 + ,90.70 + ,82.93 + ,83.84 + ,84.06 + ,90.70 + ,91.46 + ,93.94 + ,88.89 + ,96.51 + ,97.56 + ,98.99 + ,95.17 + ,98.84 + ,100.00 + ,100.00 + ,100.00 + ,100.00 + ,98.78 + ,93.94 + ,104.83 + ,98.84 + ,96.34 + ,90.91 + ,107.73 + ,97.67 + ,96.34 + ,91.92 + ,114.98 + ,96.51 + ,92.68 + ,94.95 + ,119.81 + ,95.35 + ,91.46 + ,94.95 + ,120.29 + ,94.19 + ,92.68 + ,91.92 + ,114.98 + ,94.19 + ,89.02 + ,79.80 + ,90.34 + ,94.19 + ,91.46 + ,79.80 + ,89.86 + ,94.19 + ,92.68 + ,82.83 + ,94.69 + ,94.19 + ,91.46 + ,87.88 + ,100.00 + ,95.35 + ,92.68 + ,91.92 + ,102.42 + ,95.35 + ,95.12 + ,90.91 + ,100.00 + ,94.19 + ,96.34 + ,86.87 + ,91.79 + ,91.86 + ,95.12 + ,84.85 + ,86.96 + ,90.70 + ,91.46 + ,87.88 + ,87.92 + ,88.37 + ,80.49 + ,92.93 + ,90.82 + ,88.37 + ,76.83 + ,94.95 + ,92.27 + ,88.37 + ,76.83 + ,92.93 + ,89.86 + ,88.37 + ,73.17 + ,78.79 + ,71.98 + ,86.05 + ,76.83 + ,77.78 + ,74.88 + ,84.88 + ,78.05 + ,79.80 + ,79.71 + ,84.88 + ,76.83 + ,86.87 + ,82.61 + ,86.05 + ,76.83 + ,90.91 + ,85.99 + ,86.05 + ,78.05 + ,91.92 + ,89.86 + ,86.05 + ,81.71 + ,88.89 + ,93.72 + ,86.05 + ,81.71 + ,84.85 + ,94.20 + ,84.88 + ,82.93 + ,84.85 + ,97.10 + ,82.56 + ,75.61 + ,77.78 + ,90.34 + ,76.74 + ,70.73 + ,73.74 + ,86.47 + ,72.09 + ,68.29 + ,70.71 + ,80.68 + ,72.09 + ,65.85 + ,67.68 + ,71.01 + ,75.58 + ,69.51 + ,70.71 + ,75.36 + ,76.74 + ,70.73 + ,71.72 + ,76.33 + ,75.58 + ,67.07 + ,69.70 + ,69.57 + ,72.09 + ,65.85 + ,71.72 + ,67.15 + ,70.93 + ,65.85 + ,75.76 + ,67.63 + ,72.09 + ,65.85 + ,81.82 + ,70.05 + ,74.42 + ,67.07 + ,85.86 + ,75.85 + ,77.91 + ,68.29 + ,89.90 + ,86.47 + ,79.07 + ,69.51 + ,90.91 + ,98.55 + ,79.07 + ,70.73 + ,92.93 + ,104.35 + ,81.40 + ,65.85 + ,87.88 + ,91.30 + ,79.07 + ,59.76 + ,80.81 + ,70.05 + ,80.23 + ,63.41 + ,81.82 + ,69.08 + ,80.23 + ,67.07 + ,83.84 + ,71.50 + ,81.40 + ,71.95 + ,81.82 + ,72.95 + ,80.23 + ,76.83 + ,84.85 + ,75.85 + ,81.40 + ,79.27 + ,89.90 + ,76.81 + ,83.72 + ,78.05 + ,94.95 + ,77.78 + ,87.21 + ,78.05 + ,97.98 + ,82.13 + ,89.53 + ,80.49 + ,102.02 + ,91.79 + ,91.86 + ,82.93 + ,105.05 + ,103.86 + ,94.19 + ,87.80 + ,108.08 + ,110.63 + ,97.67) + ,dim=c(4 + ,119) + ,dimnames=list(c('wlhm' + ,'wlhv' + ,'wlhj' + ,'ntwerkz') + ,1:119)) > y <- array(NA,dim=c(4,119),dimnames=list(c('wlhm','wlhv','wlhj','ntwerkz'),1:119)) > for (i in 1:dim(x)[1]) + { + for (j in 1:dim(x)[2]) + { + y[i,j] <- as.numeric(x[i,j]) + } + } > par1 = 'grey' > ylab = 'value' > xlab = 'variables' > main = 'Notched Boxplots' > #'GNU S' R Code compiled by R2WASP v. 1.0.44 () > #Author: Prof. Dr. P. Wessa > #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > z <- as.data.frame(t(y)) > postscript(file="/var/www/html/rcomp/tmp/18ch71258134145.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > (r<-boxplot(z ,xlab=xlab,ylab=ylab,main=main,notch=TRUE,col=par1)) $stats [,1] [,2] [,3] [,4] [1,] 59.76 65.660 64.73 70.93 [2,] 76.83 80.810 83.09 82.56 [3,] 84.15 88.890 92.27 90.70 [4,] 92.68 93.435 102.42 96.51 [5,] 100.00 112.120 123.67 103.49 $n [1] 119 119 119 119 $conf [,1] [,2] [,3] [,4] [1,] 81.85431 87.06142 89.47027 88.6795 [2,] 86.44569 90.71858 95.06973 92.7205 $out numeric(0) $group numeric(0) $names [1] "wlhm" "wlhv" "wlhj" "ntwerkz" > dev.off() null device 1 > > #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/html/rcomp/createtable") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,hyperlink('http://www.xycoon.com/overview.htm','Boxplot statistics','Boxplot overview'),6,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Variable',1,TRUE) > a<-table.element(a,hyperlink('http://www.xycoon.com/lower_whisker.htm','lower whisker','definition of lower whisker'),1,TRUE) > a<-table.element(a,hyperlink('http://www.xycoon.com/lower_hinge.htm','lower hinge','definition of lower hinge'),1,TRUE) > a<-table.element(a,hyperlink('http://www.xycoon.com/central_tendency.htm','median','definitions about measures of central tendency'),1,TRUE) > a<-table.element(a,hyperlink('http://www.xycoon.com/upper_hinge.htm','upper hinge','definition of upper hinge'),1,TRUE) > a<-table.element(a,hyperlink('http://www.xycoon.com/upper_whisker.htm','upper whisker','definition of upper whisker'),1,TRUE) > a<-table.row.end(a) > for (i in 1:length(y[,1])) + { + a<-table.row.start(a) + a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE) + for (j in 1:5) + { + a<-table.element(a,r$stats[j,i]) + } + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/www/html/rcomp/tmp/2z9lz1258134145.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="/var/www/html/rcomp/tmp/39pj81258134145.tab") > > system("convert tmp/18ch71258134145.ps tmp/18ch71258134145.png") > > > proc.time() user system elapsed 0.437 0.165 0.861