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Type 'q()' to quit R. > y <- c(1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2) > x <- c(70.80 + ,69.60 + ,69.87 + ,67.47 + ,67.60 + ,67.13 + ,66.27 + ,66.73 + ,68.07 + ,67.80 + ,64.80 + ,64.60 + ,64.20 + ,64.20 + ,63.67 + ,61.00 + ,59.67 + ,59.67 + ,59.80 + ,60.73 + ,59.40 + ,58.07 + ,57.47 + ,66.67 + ,66.33 + ,64.33 + ,64.00 + ,63.33 + ,61.33 + ,64.67 + ,63.00 + ,60.67 + ,63.67 + ,60.67 + ,61.67 + ,62.33 + ,60.33 + ,59.67 + ,60.33 + ,59.33 + ,58.67 + ,58.67 + ,59.33 + ,57.33 + ,59.33 + ,56.00 + ,53.67 + ,58.67 + ,49.33 + ,70.73 + ,72.87 + ,66.00 + ,66.07 + ,66.00 + ,66.27 + ,64.00 + ,63.67 + ,63.73 + ,63.33 + ,63.53 + ,63.53 + ,62.87 + ,59.53 + ,62.80 + ,60.80 + ,59.80 + ,56.67 + ,57.67 + ,58.40 + ,55.47 + ,56.20 + ,71.33 + ,70.33 + ,69.00 + ,66.00 + ,66.00 + ,63.33 + ,65.33 + ,64.33 + ,64.00 + ,61.67 + ,63.67 + ,64.67 + ,61.67 + ,62.00 + ,61.33 + ,63.67 + ,61.33 + ,62.33 + ,59.67 + ,59.33 + ,61.67 + ,58.67 + ,58.00 + ,56.67 + ,59.67 + ,58.00 + ,57.00 + ,57.67 + ,58.67 + ,55.33 + ,56.00 + ,55.67 + ,53.33 + ,53.67 + ,51.00 + ,47.00 + ,4.33 + ,71.53 + ,68.67 + ,65.67 + ,66.73 + ,67.33 + ,66.73 + ,66.87 + ,65.80 + ,64.73 + ,65.47 + ,63.60 + ,64.07 + ,64.67 + ,63.73 + ,62.53 + ,61.93 + ,62.67 + ,62.80 + ,61.33 + ,62.60 + ,59.13 + ,61.27 + ,59.47 + ,57.87 + ,59.73 + ,61.40 + ,58.80 + ,58.33 + ,57.47 + ,57.13 + ,55.00 + ,51.53 + ,70.00 + ,68.67 + ,67.67 + ,66.00 + ,65.67 + ,65.67 + ,63.67 + ,63.67 + ,64.00 + ,62.00 + ,62.00 + ,61.67 + ,61.67 + ,63.33 + ,61.00 + ,62.33 + ,60.33 + ,60.33 + ,60.67 + ,57.67 + ,58.33 + ,58.00 + ,57.33 + ,56.67 + ,58.00 + ,55.33 + ,55.67 + ,54.67 + ,56.33 + ,55.00 + ,55.00 + ,54.67 + ,54.33 + ,49.00 + ,48.33 + ,49.67 + ,43.67 + ,6.33 + ,3.00 + ,72.73 + ,73.00 + ,70.80 + ,70.07 + ,71.67 + ,71.07 + ,70.67 + ,70.73 + ,70.73 + ,68.60 + ,69.60 + ,66.47 + ,67.07 + ,68.67 + ,66.93 + ,65.93 + ,68.87 + ,66.53 + ,65.80 + ,66.60 + ,66.00 + ,65.00 + ,66.80 + ,65.60 + ,66.00 + ,65.67 + ,64.67 + ,65.07 + ,64.67 + ,65.07 + ,65.20 + ,64.87 + ,63.47 + ,62.60 + ,64.07 + ,63.73 + ,64.67 + ,61.60 + ,61.60 + ,60.47 + ,61.27 + ,63.00 + ,61.47 + ,60.87 + ,61.67 + ,62.87 + ,62.40 + ,59.73 + ,60.13 + ,58.80 + ,59.60 + ,58.93 + ,60.13 + ,58.20 + ,58.27 + ,58.27 + ,55.07 + ,53.87 + ,52.33 + ,47.20 + ,37.93 + ,66.67 + ,67.33 + ,65.33 + ,66.00 + ,65.67 + ,66.67 + ,65.67 + ,65.00 + ,64.67 + ,66.67 + ,63.67 + ,63.33 + ,63.67 + ,63.33 + ,63.67 + ,63.00 + ,61.67 + ,61.33 + ,60.67 + ,60.00 + ,61.67 + ,61.33 + ,58.67 + ,60.33 + ,59.67 + ,59.33 + ,59.67 + ,61.00 + ,61.00 + ,60.00 + ,60.00 + ,58.67 + ,58.33 + ,58.00 + ,56.33 + ,54.67 + ,55.33 + ,54.00 + ,52.67 + ,44.00 + ,72.73 + ,70.07 + ,70.67 + ,72.07 + ,68.80 + ,68.80 + ,67.47 + ,66.73 + ,66.53 + ,66.00 + ,67.60 + ,66.00 + ,66.00 + ,66.53 + ,65.80 + ,64.27 + ,64.67 + ,64.60 + ,64.13 + ,65.47 + ,62.93 + ,63.53 + ,62.13 + ,63.87 + ,64.67 + ,63.33 + ,63.13 + ,62.80 + ,62.40 + ,62.40 + ,62.60 + ,61.47 + ,62.20 + ,63.00 + ,61.80 + ,59.73 + ,60.33 + ,60.13 + ,59.53 + ,59.00 + ,55.93 + ,41.87 + ,36.33 + ,65.67 + ,65.00 + ,66.33 + ,64.00 + ,62.33 + ,61.33 + ,63.00 + ,63.67 + ,62.00 + ,61.33 + ,64.67 + ,62.67 + ,64.00 + ,61.00 + ,60.67 + ,59.67 + ,60.33 + ,56.67 + ,56.67 + ,54.33 + ,51.00 + ,51.00 + ,47.00 + ,71.67 + ,71.47 + ,70.47 + ,69.53 + ,70.73 + ,69.93 + ,68.73 + ,67.53 + ,64.40 + ,66.20 + ,66.20 + ,63.07 + ,64.27 + ,65.00 + ,63.67 + ,62.67 + ,64.67 + ,64.67 + ,64.47 + ,61.93 + ,63.27 + ,62.93 + ,61.93 + ,64.07 + ,61.40 + ,62.00 + ,62.60 + ,62.40 + ,61.60 + ,59.87 + ,63.20 + ,62.40 + ,60.40 + ,61.87 + ,59.13 + ,59.53 + ,57.80 + ,57.67 + ,61.00 + ,56.33 + ,54.20 + ,54.73 + ,52.67 + ,17.60 + ,68 + ,65 + ,64 + ,64 + ,64 + ,62 + ,61 + ,60 + ,60 + ,62 + ,60 + ,59 + ,61 + ,60 + ,60 + ,58 + ,58 + ,60 + ,58 + ,59 + ,56 + ,54 + ,51 + ,47) > par2 = 'TRUE' > par1 = '3' > #'GNU S' R Code compiled by R2WASP v. 1.0.44 () > #Author: Dr. Ian E. Holliday > #To cite this work: Ian E. Holliday, 2009, Histogram and QQplot (v1.0.1) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/Ian.Holliday/rwasp_varia1.wasp/ > #Source of accompanying publication: > #Technical description: > postscript(file="/var/www/html/rcomp/tmp/1yxg91255105493.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > par1 <- as.numeric(par1) > par2<- as.logical(par2) > myboxes<-boxplot(x~as.factor(y), col=par1, notch=par2, names =c('yes', 'no'), main='Reddy and Moores Placements Data', xlab='Placement Student', ylab='Degree Grade') > 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.end(a) > table.save(a,file="/var/www/html/rcomp/tmp/27sib1255105493.tab") > > system("convert tmp/1yxg91255105493.ps tmp/1yxg91255105493.png") > > > proc.time() user system elapsed 0.427 0.172 0.500