R version 2.15.2 (2012-10-26) -- "Trick or Treat" Copyright (C) 2012 The R Foundation for Statistical Computing ISBN 3-900051-07-0 Platform: i686-pc-linux-gnu (32-bit) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > x <- array(list(25,20,25,20,25,20,20,15,15,12,20,5,20,15,25,22,20,22,25,20,20,35,30,25,20,20,20,25,25,15,20,35,25,25,30,23,10,22,25,25,22,30,20,25,25,22,25,25,25,22,25,12,18,20,20,22,30,25,22,20,50,30,25,20,30,22,25,30,22,25,22,22,25,25,25,20),dim=c(1,76),dimnames=list(c('V1'),1:76)) > y <- array(NA,dim=c(1,76),dimnames=list(c('V1'),1:76)) > 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 = 'te betalen prijs' > xlab = 'bevraagden' > main = 'Notched Boxplots' > par1 <- 'grey' > #'GNU S' R Code compiled by R2WASP v. 1.2.291 () > #Author: root > #To cite this work: Wessa P., (2012), Notched Boxplots (v1.0.6) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_notchedbox1.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > # > z <- as.data.frame(t(y)) > postscript(file="/var/fisher/rcomp/tmp/19xwb1356194188.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=TRUE,col=par1)) $stats [,1] [1,] 15 [2,] 20 [3,] 22 [4,] 25 [5,] 30 $n [1] 76 $conf [,1] [1,] 21.09381 [2,] 22.90619 $out [1] 12 5 35 35 10 12 50 $group [1] 1 1 1 1 1 1 1 $names [1] "V1" > dev.off() null device 1 > > #Note: the /var/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/fisher/rcomp/createtable") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,hyperlink('http://www.xycoon.com/overview.htm','Boxplot statistics','Boxplot overview'),6,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Variable',1,TRUE) > a<-table.element(a,hyperlink('http://www.xycoon.com/lower_whisker.htm','lower whisker','definition of lower whisker'),1,TRUE) > a<-table.element(a,hyperlink('http://www.xycoon.com/lower_hinge.htm','lower hinge','definition of lower hinge'),1,TRUE) > a<-table.element(a,hyperlink('http://www.xycoon.com/central_tendency.htm','median','definitions about measures of central tendency'),1,TRUE) > a<-table.element(a,hyperlink('http://www.xycoon.com/upper_hinge.htm','upper hinge','definition of upper hinge'),1,TRUE) > a<-table.element(a,hyperlink('http://www.xycoon.com/upper_whisker.htm','upper whisker','definition of upper whisker'),1,TRUE) > a<-table.row.end(a) > for (i in 1:length(y[,1])) + { + a<-table.row.start(a) + a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE) + for (j in 1:5) + { + a<-table.element(a,r$stats[j,i]) + } + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/fisher/rcomp/tmp/289md1356194188.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/fisher/rcomp/tmp/3nxd81356194188.tab") > > try(system("convert tmp/19xwb1356194188.ps tmp/19xwb1356194188.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.839 0.309 1.120