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11 11 11 11 13 14 14 13 16 14 14 14 13 14 14 12 14 14 14 16 14 14 14 23 11 13 14 11 14 14 11 19 13 7 13 14 11 9 5 14 13 14 23 11 14 14 11 23 13 14 14 14 14 14 14 13 16 18 13 12 10 11 14 14 14 14 9 13 11 11 13 14 14 11 14 14 14 13 20 14 14 16 14 14 11 23 18 9 16 10 14 11 14 14 13 23 20 14 12 14 13 16 9 13 11 14 20 16 14 14 18 9 12 13 9 11 14 14 11 14 10 11 14 14 18 14 18 16 18 14 11 15 14 14 14 16 15 16 14 18 13 11 12 14 14 16 9 14 14 11 11 14 14 14 18 18 14 18 9 23 9 14 14 14 14 11 14 14 14 14 14 14 10 14 11 23 9 10 11 13 12 18 14 14 16 9 13 11 14 14 14 23 14 16 14 14 14 16 14 16 7 14 9 16 18 14 14 18 13 14 9 16 23 14 14 18 14 23 8 7 14 10 13 14 16 14 10 14 11 12 11 14 9 11 14 13 18 14 14 14 18 17 9 11 14 14 16 14 14 14 16 14 11 14 11 14 16 14 14 14 14 14 11 14 11 16 14 14 14 14 14 14 16 14 14 9 9 14 16 14 18 13 12 18 11 16 14 10 14 12 16 14 9 14 11 23 14 14 13 16 13 11 14 20 14 11 13 11 18 14 14 18 14 14 13 16 16 14 14 12 14 14 13 23 14 14 9 11 11 14 12 13 23 23 14 14 18 9 14 14 14 11 14 14 14 14 18 11 16 14 14 16 9 9 23 16 13 23 18 14 20 14 18 14 13 11 18 16 11 9 14 14 14 14 7 14 14 14 14 14 11 14 14 14 14 11 11 18 14 15 18 12 14 17 11 13 14 11 13 14 14 14 14 14 10 11 14 18 14 13 11 14 14 13 14 14 14 16 14 16 14 5 7 11 14 14 14 11 9 14 16 16 13 18 14 18 14 11 14 9 13 13 14 11 14 23 14 14 13 14 16 9 14 14 14 14 14 18 14 14 16 11 14 23 14 14 14 14 11 14 14 14 11 14 14 14 11 14 14 12 14 14 14 14 11 9 14 16 14 9 9 11 14 14 14 14 13 16 11 14 14 16 16 14 9 14 14 14 11 14 14 12 14 11 14 23 14 9 13 14 14 14 14 14 18 14 16 12 14 11 13 11 14 11 14 13 11 9 14 11 14 14 13 14 14 14 14 11 11 14 14 27 9 14 16 11 14 11 14 18 11 14 13 13 14 13 12 8 14 18 14 14 14 14 14 13 14 14 14 16 14 14 14 9 13 9 14 14 11 14 18 14 14 11 18 14 14 13 11 14 16 14 9 14 9 11 14 18 11 21 9 9 14 14 11 14 11 18 13 18 13 14 14 14 16 14 9 14 11 14 18 14 14 7 16 8 14 11 14 14 14 7 9 14 11 14 9 14 14 14 11 18 23 14 14 16 14 14 7 14 11 14 14 12 14 11 11 14 14 14 23 14 11 14 11 14 12 11 15 14 11 14 16 14 18 14 14 13 14 13 14 23 14 7 14 11 23 14 14 16 16 11 10 14 14 14 16 11 7 14 13 14 7 14 18 13 14 11 11 23 14 0 14 14 14 16 14 14 16 14 9 9 9 14 16 14 11 13 16 18 14 16 13 14 14 14 13 14 14 14 14 14 14 14 16 14 14 14 11 23 14 14 14 11 11 16 14 16 14 13 14 16 14 14 16 11 11 13 16 23 14 14 13 14 14 14 9 14 14 9 14 11 9 14 23 9 18 18 14 13 16 11 9 9 9 13 16 14 13 14 14 16 12 14 11 11 14 14 14 11 16 14 16 16 14 13 14 12 14 12 14 14 23 11 14 14 14 18 14 14 11 16 14 14 9 14 18 14 12 14 18 14 14 12 16 16 12 23 14 14 11 14 18 11 14 11 14 7 18 14 11 14 14 14 14 14 11 11 14 9 8 11 14 13 6 12 14 14 14 14 11 14 16 13 14 13 14 14 11 20 13 14 14 11 11 13 14 14 14 13 14 10 16 16 5 14 13 20 14 13 14 7 23 16 11 11 14 14 14 14 14 18 13 11 14 11 14 11 11 14 16 14 11 9 14 14 14 7 14 16 23 16 14 14 11 14 14 7 14 11 14 14 11 13 14 14 18 11 14 14 11 16 13 14 11 14 14 11 14 14 14 11 16 11 13 11 14 14 23 14 14 0 14 14 14 9 11 11 16 11 14 11 23 9 20 11 16 14 18 16 14 14 14 14 10 14 11 14 7
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Number of bins
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(?)
Colour
grey
white
blue
red
black
brown
yellow
Bins are closed on right side
FALSE
TRUE
Scale of data
Unknown
Interval/Ratio
3-point Likert
4-point Likert
5-point Likert
6-point Likert
7-point Likert
8-point Likert
9-point Likert
10-point Likert
11-point Likert
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R Code
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) bitmap(file='test1.png') 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 { barplot(mytab <- sort(table(x),T),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency') } dev.off() if(is.numeric(x[1])) { myhist n <- length(x) load(file='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='mytable.tab') } else { mytab reltab <- mytab / sum(mytab) n <- length(mytab) load(file='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='mytable1.tab') }
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Big Analytics Cloud Computing Center
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