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Type 'q()' to quit R. > x <- c(24.90 + ,25.06 + ,25.10 + ,24.92 + ,25.46 + ,25.89 + ,25.39 + ,25.38 + ,25.25 + ,24.88 + ,25.00 + ,25.00 + ,24.07 + ,23.60 + ,23.18 + ,23.25 + ,23.04 + ,22.77 + ,22.25 + ,22.41 + ,22.50 + ,22.91 + ,22.88 + ,21.69 + ,21.19 + ,21.56 + ,22.00 + ,22.13 + ,22.27 + ,22.30 + ,21.94 + ,22.40 + ,22.77 + ,22.90 + ,23.03 + ,23.05 + ,22.41 + ,22.26 + ,21.90 + ,22.01 + ,22.62 + ,22.76 + ,23.40 + ,23.63 + ,24.05 + ,23.82 + ,23.71 + ,23.95 + ,23.61 + ,23.98 + ,23.56 + ,23.99 + ,24.33 + ,24.48 + ,24.31 + ,24.38 + ,24.63 + ,25.54 + ,25.75 + ,25.73 + ,25.85 + ,25.78 + ,25.86 + ,26.86 + ,27.36 + ,27.38 + ,26.58 + ,27.65 + ,27.73 + ,27.18 + ,27.32 + ,27.30 + ,26.90 + ,26.70 + ,26.75 + ,26.41 + ,26.29 + ,27.51 + ,27.91 + ,27.70 + ,27.28 + ,28.25 + ,27.62 + ,27.30 + ,25.94 + ,24.99 + ,25.50 + ,24.42 + ,26.58 + ,25.84 + ,26.76 + ,26.74 + ,26.68 + ,25.55 + ,26.40 + ,25.19 + ,23.94 + ,24.20 + ,24.20 + ,23.07 + ,24.07 + ,25.02 + ,24.65 + ,24.68 + ,24.63 + ,24.49 + ,25.05 + ,24.31 + ,23.90 + ,23.68 + ,24.50 + ,25.22 + ,25.48 + ,26.00 + ,26.07 + ,26.06 + ,26.22 + ,26.70 + ,27.20 + ,26.77 + ,26.11 + ,25.43 + ,24.99 + ,25.51 + ,24.00 + ,23.86 + ,22.96 + ,23.41 + ,23.17 + ,24.12 + ,23.87 + ,24.27 + ,24.40 + ,24.16 + ,25.15 + ,25.09 + ,24.60 + ,24.33 + ,24.14 + ,24.36 + ,25.40 + ,26.15 + ,26.77 + ,26.94 + ,26.33 + ,26.24 + ,26.23 + ,25.88 + ,27.00 + ,26.91 + ,27.15 + ,27.78 + ,28.73 + ,28.83 + ,28.68 + ,27.56 + ,27.15 + ,27.41 + ,27.47 + ,28.76 + ,28.47 + ,27.94 + ,27.23 + ,27.01 + ,26.15 + ,26.11 + ,27.20 + ,27.36 + ,27.33 + ,27.43 + ,28.92 + ,29.45 + ,29.01 + ,29.25 + ,29.14 + ,29.64 + ,30.40 + ,30.62 + ,31.25 + ,31.75 + ,31.30 + ,30.70 + ,31.03 + ,31.46 + ,31.28 + ,31.03 + ,30.95 + ,31.17 + ,31.29 + ,31.91 + ,32.10 + ,31.71 + ,31.90 + ,32.02 + ,32.65 + ,33.77 + ,33.51 + ,34.26 + ,34.21 + ,34.13 + ,34.73 + ,34.73 + ,34.57 + ,34.80 + ,33.98 + ,34.40 + ,34.21 + ,34.61 + ,35.25 + ,35.23 + ,35.00 + ,34.52 + ,33.82 + ,34.35 + ,34.81 + ,34.96 + ,36.69 + ,36.42 + ,36.44 + ,37.41 + ,36.40 + ,36.15 + ,35.78 + ,36.95 + ,36.14 + ,36.36 + ,37.31 + ,37.58 + ,38.00 + ,37.23 + ,37.00 + ,37.87 + ,37.70 + ,36.17 + ,36.56 + ,37.70 + ,38.77 + ,39.02 + ,39.88 + ,39.56 + ,38.52 + ,37.20 + ,38.58 + ,39.41 + ,39.08 + ,38.81 + ,38.73 + ,38.70 + ,39.23 + ,39.82 + ,39.97 + ,40.37 + ,39.54 + ,39.21 + ,39.07 + ,39.78 + ,39.40 + ,38.92) > par4 = 'Unknown' > par3 = 'FALSE' > par2 = 'grey' > par1 = '150' > xlab = 'Koers aandeel Umicore' > main = 'Histogram' > par1 <- as.numeric(par1) > if (par3 == 'TRUE') par3 <- TRUE > if (par3 == 'FALSE') par3 <- FALSE > if (par4 == 'Unknown') par1 <- as.numeric(par1) > if (par4 == 'Interval/Ratio') par1 <- as.numeric(par1) > if (par4 == '3-point Likert') par1 <- c(1:3 - 0.5, 3.5) > if (par4 == '4-point Likert') par1 <- c(1:4 - 0.5, 4.5) > if (par4 == '5-point Likert') par1 <- c(1:5 - 0.5, 5.5) > if (par4 == '6-point Likert') par1 <- c(1:6 - 0.5, 6.5) > if (par4 == '7-point Likert') par1 <- c(1:7 - 0.5, 7.5) > if (par4 == '8-point Likert') par1 <- c(1:8 - 0.5, 8.5) > if (par4 == '9-point Likert') par1 <- c(1:9 - 0.5, 9.5) > if (par4 == '10-point Likert') par1 <- c(1:10 - 0.5, 10.5) > postscript(file="/var/wessaorg/rcomp/tmp/1b16c1324628427.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > if(is.numeric(x[1])) { + if (is.na(par1)) { + myhist<-hist(x,col=par2,main=main,xlab=xlab,right=par3) + } else { + if (par1 < 0) par1 <- 3 + if (par1 > 50) par1 <- 50 + myhist<-hist(x,breaks=par1,col=par2,main=main,xlab=xlab,right=par3) + } + } else { + plot(mytab <- table(x),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency') + } > dev.off() null device 1 > if(is.numeric(x[1])) { + myhist + n <- length(x) + + #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/histogram.htm','Frequency Table (Histogram)',''),6,TRUE) + a<-table.row.end(a) + a<-table.row.start(a) + a<-table.element(a,'Bins',header=TRUE) + a<-table.element(a,'Midpoint',header=TRUE) + a<-table.element(a,'Abs. Frequency',header=TRUE) + a<-table.element(a,'Rel. Frequency',header=TRUE) + a<-table.element(a,'Cumul. Rel. Freq.',header=TRUE) + a<-table.element(a,'Density',header=TRUE) + a<-table.row.end(a) + crf <- 0 + if (par3 == FALSE) mybracket <- '[' else mybracket <- ']' + mynumrows <- (length(myhist$breaks)-1) + for (i in 1:mynumrows) { + a<-table.row.start(a) + if (i == 1) + dum <- paste('[',myhist$breaks[i],sep='') + else + dum <- paste(mybracket,myhist$breaks[i],sep='') + dum <- paste(dum,myhist$breaks[i+1],sep=',') + if (i==mynumrows) + dum <- paste(dum,']',sep='') + else + dum <- paste(dum,mybracket,sep='') + a<-table.element(a,dum,header=TRUE) + a<-table.element(a,myhist$mids[i]) + a<-table.element(a,myhist$counts[i]) + rf <- myhist$counts[i]/n + crf <- crf + rf + a<-table.element(a,round(rf,6)) + a<-table.element(a,round(crf,6)) + a<-table.element(a,round(myhist$density[i],6)) + a<-table.row.end(a) + } + a<-table.end(a) + table.save(a,file="/var/wessaorg/rcomp/tmp/2iqvo1324628427.tab") + } else { + mytab + reltab <- mytab / sum(mytab) + n <- length(mytab) + + #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,'Frequency Table (Categorical Data)',3,TRUE) + a<-table.row.end(a) + a<-table.row.start(a) + a<-table.element(a,'Category',header=TRUE) + a<-table.element(a,'Abs. Frequency',header=TRUE) + a<-table.element(a,'Rel. Frequency',header=TRUE) + a<-table.row.end(a) + for (i in 1:n) { + a<-table.row.start(a) + a<-table.element(a,labels(mytab)$x[i],header=TRUE) + a<-table.element(a,mytab[i]) + a<-table.element(a,round(reltab[i],4)) + a<-table.row.end(a) + } + a<-table.end(a) + table.save(a,file="/var/wessaorg/rcomp/tmp/3t82c1324628427.tab") + } > > try(system("convert tmp/1b16c1324628427.ps tmp/1b16c1324628427.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.522 0.102 0.743