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Type 'q()' to quit R. > par5 = 'COLLES all' > par4 = 'all' > par3 = 'bachelor' > par2 = 'female' > par1 = 'grey' > ylab = 'value' > xlab = 'variables' > main = 'Notched Boxplots' > par5 <- 'COLLES all' > par4 <- 'all' > par3 <- 'bachelor' > par2 <- 'female' > par1 <- 'grey' > #'GNU S' R Code compiled by R2WASP v. 1.2.291 () > #Author: root > #To cite this work: Wessa P., (2012), Notched Boxplots for IM2 (v1.0.8) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_notchedbox1.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > # > x <- as.data.frame(read.table(file='http://www.wessa.net/download/utaut.csv',sep=',',header=T)) > x$U25 <- 6-x$U25 > if(par2 == 'female') x <- x[x$Gender==0,] > if(par2 == 'male') x <- x[x$Gender==1,] > if(par3 == 'prep') x <- x[x$Pop==1,] > if(par3 == 'bachelor') x <- x[x$Pop==0,] > if(par4 != 'all') { + x <- x[x$Year==as.numeric(par4),] + } > cAc <- with(x,cbind( A1, A2, A3, A4, A5, A6, A7, A8, A9,A10)) > cAs <- with(x,cbind(A11,A12,A13,A14,A15,A16,A17,A18,A19,A20)) > cA <- cbind(cAc,cAs) > cCa <- with(x,cbind(C1,C3,C5,C7, C9,C11,C13,C15,C17,C19,C21,C23,C25,C27,C29,C31,C33,C35,C37,C39,C41,C43,C45,C47)) > cCp <- with(x,cbind(C2,C4,C6,C8,C10,C12,C14,C16,C18,C20,C22,C24,C26,C28,C30,C32,C34,C36,C38,C40,C42,C44,C46,C48)) > cC <- cbind(cCa,cCp) > cU <- with(x,cbind(U1,U2,U3,U4,U5,U6,U7,U8,U9,U10,U11,U12,U13,U14,U15,U16,U17,U18,U19,U20,U21,U22,U23,U24,U25,U26,U27,U28,U29,U30,U31,U32,U33)) > cE <- with(x,cbind(BC,NNZFG,MRT,AFL,LPM,LPC,W,WPA)) > cX <- with(x,cbind(X1,X2,X3,X4,X5,X6,X7,X8,X9,X10,X11,X12,X13,X14,X15,X16,X17,X18)) > if (par5=='ATTLES connected') x <- cAc > if (par5=='ATTLES separate') x <- cAs > if (par5=='ATTLES all') x <- cA > if (par5=='COLLES actuals') x <- cCa > if (par5=='COLLES preferred') x <- cCp > if (par5=='COLLES all') x <- cC > if (par5=='CSUQ') x <- cU > if (par5=='Learning Activities') x <- cE > if (par5=='Exam Items') x <- cX > ncol <- length(x[1,]) > for (jjj in 1:ncol) { + x <- x[!is.na(x[,jjj]),] + } > x <- t(x) > y <- x > z <- as.data.frame(t(y)) > postscript(file="/var/wessaorg/rcomp/tmp/1ijwb1336738141.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] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13] [,14] [1,] 2 2 2 2 2 2 2 2 2 2 0 2 2 2 [2,] 3 3 3 3 3 3 3 3 3 3 2 3 3 3 [3,] 4 4 4 4 4 4 4 4 4 4 3 3 4 4 [4,] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 [5,] 5 5 5 5 5 5 5 5 5 5 5 5 5 5 [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25] [,26] [1,] 2 2 2 2 2 2 2 2 4 2 1 1 [2,] 3 3 3 3 3 3 3 3 4 3 3 3 [3,] 4 4 4 3 4 3 4 4 4 4 4 4 [4,] 4 4 4 4 4 4 4 4 4 4 5 5 [5,] 5 5 5 5 5 5 5 5 4 5 5 5 [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [,37] [,38] [1,] 1 2 2 2 2 2 2 2 2 2 2 2 [2,] 3 3 3 3 3 3 3 3 3 3 3 3 [3,] 4 4 4 4 4 4 4 4 3 4 4 4 [4,] 5 4 4 4 4 4 4 4 4 4 4 4 [5,] 5 5 5 5 5 5 5 5 5 5 5 5 [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [1,] 2 2 2 2 2 2 2 2 2 2 [2,] 3 3 3 3 3 3 3 3 3 3 [3,] 4 4 4 3 4 3 4 4 4 4 [4,] 4 4 4 4 4 4 4 4 4 4 [5,] 5 5 5 5 5 5 5 5 5 5 attr(,"class") C1 "integer" $n [1] 193 193 193 193 193 193 193 193 193 193 193 193 193 193 193 193 193 193 193 [20] 193 193 193 193 193 193 193 193 193 193 193 193 193 193 193 193 193 193 193 [39] 193 193 193 193 193 193 193 193 193 193 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [1,] 3.886269 3.886269 3.886269 3.886269 3.886269 3.886269 3.886269 3.886269 [2,] 4.113731 4.113731 4.113731 4.113731 4.113731 4.113731 4.113731 4.113731 [,9] [,10] [,11] [,12] [,13] [,14] [,15] [,16] [1,] 3.886269 3.886269 2.772538 2.886269 3.886269 3.886269 3.886269 3.886269 [2,] 4.113731 4.113731 3.227462 3.113731 4.113731 4.113731 4.113731 4.113731 [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [1,] 3.886269 2.886269 3.886269 2.886269 3.886269 3.886269 4 3.886269 [2,] 4.113731 3.113731 4.113731 3.113731 4.113731 4.113731 4 4.113731 [,25] [,26] [,27] [,28] [,29] [,30] [,31] [,32] [1,] 3.772538 3.772538 3.772538 3.886269 3.886269 3.886269 3.886269 3.886269 [2,] 4.227462 4.227462 4.227462 4.113731 4.113731 4.113731 4.113731 4.113731 [,33] [,34] [,35] [,36] [,37] [,38] [,39] [,40] [1,] 3.886269 3.886269 2.886269 3.886269 3.886269 3.886269 3.886269 3.886269 [2,] 4.113731 4.113731 3.113731 4.113731 4.113731 4.113731 4.113731 4.113731 [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [1,] 3.886269 2.886269 3.886269 2.886269 3.886269 3.886269 3.886269 3.886269 [2,] 4.113731 3.113731 4.113731 3.113731 4.113731 4.113731 4.113731 4.113731 $out [1] 1 1 0 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 [38] 1 0 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 5 3 5 3 5 5 3 5 5 5 3 0 5 5 3 3 5 5 3 [75] 3 5 3 2 5 5 5 5 5 3 3 3 3 5 3 5 5 5 3 5 5 3 5 3 5 3 3 3 3 3 3 5 3 3 2 3 3 [112] 5 2 3 5 5 3 3 5 2 3 3 5 5 3 5 3 3 5 3 3 3 5 1 1 1 1 0 1 0 1 1 1 0 1 1 1 0 [149] 1 1 1 1 0 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 $group [1] 1 1 3 3 4 4 4 8 9 9 9 9 10 10 10 10 10 12 12 12 12 12 12 12 12 [26] 13 14 14 14 15 15 16 16 17 17 17 18 18 18 18 18 18 19 19 19 19 19 20 20 20 [51] 20 20 20 20 20 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 [76] 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 [101] 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 [126] 23 23 23 23 23 23 23 23 24 24 28 32 33 33 33 33 34 34 34 34 34 35 35 35 35 [151] 35 36 36 36 37 38 39 40 40 41 41 42 42 42 42 42 43 43 43 44 44 44 44 44 44 [176] 44 46 47 48 48 $names [1] "C1" "C3" "C5" "C7" "C9" "C11" "C13" "C15" "C17" "C19" "C21" "C23" [13] "C25" "C27" "C29" "C31" "C33" "C35" "C37" "C39" "C41" "C43" "C45" "C47" [25] "C2" "C4" "C6" "C8" "C10" "C12" "C14" "C16" "C18" "C20" "C22" "C24" [37] "C26" "C28" "C30" "C32" "C34" "C36" "C38" "C40" "C42" "C44" "C46" "C48" Warning message: In bxp(list(stats = c(2, 3, 4, 4, 5, 2, 3, 4, 4, 5, 2, 3, 4, 4, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > > #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/wessaorg/rcomp/createtable") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,hyperlink('http://www.xycoon.com/overview.htm','Boxplot statistics','Boxplot overview'),6,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Variable',1,TRUE) > a<-table.element(a,hyperlink('http://www.xycoon.com/lower_whisker.htm','lower whisker','definition of lower whisker'),1,TRUE) > a<-table.element(a,hyperlink('http://www.xycoon.com/lower_hinge.htm','lower hinge','definition of lower hinge'),1,TRUE) > a<-table.element(a,hyperlink('http://www.xycoon.com/central_tendency.htm','median','definitions about measures of central tendency'),1,TRUE) > a<-table.element(a,hyperlink('http://www.xycoon.com/upper_hinge.htm','upper hinge','definition of upper hinge'),1,TRUE) > a<-table.element(a,hyperlink('http://www.xycoon.com/upper_whisker.htm','upper whisker','definition of upper whisker'),1,TRUE) > a<-table.row.end(a) > for (i in 1:length(y[,1])) + { + a<-table.row.start(a) + a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE) + for (j in 1:5) + { + a<-table.element(a,r$stats[j,i]) + } + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/wessaorg/rcomp/tmp/2irgy1336738141.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/wessaorg/rcomp/tmp/3hghl1336738141.tab") > > try(system("convert tmp/1ijwb1336738141.ps tmp/1ijwb1336738141.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.817 0.116 0.926