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Data:
23 17 23 4 24 17 20 4 22 18 20 6 24 20 24 8 27 28 22 4 27 22 20 8 24 16 25 5 23 18 23 4 27 14 22 4 28 11 24 4 27 27 25 4 24 22 28 4 25 23 25 8 24 24 28 7 20 14 21 4 26 23 27 5 23 24 14 4 23 24 14 4 20 8 27 4 24 23 21 4 23 21 21 4 18 24 12 15 23 25 28 4 26 23 22 4 26 21 27 7 23 21 26 4 22 26 22 6 20 18 24 16 25 17 22 6 22 15 21 9 23 13 23 4 25 26 28 5 23 16 10 4 22 21 21 5 24 20 21 4 25 14 24 4 17 20 25 4 20 22 23 6 23 20 21 4 20 18 17 18 24 24 25 4 24 20 23 5 28 19 28 4 25 23 19 10 25 26 26 5 18 22 18 8 17 20 18 8 22 13 21 5 25 22 22 4 26 22 27 5 19 20 22 14 25 6 28 8 21 21 26 8 13 20 10 4 25 23 22 6 26 20 21 4 25 24 24 7 25 22 25 7 21 18 20 6 24 23 23 4 21 21 24 8 25 24 24 4 20 21 20 10 23 20 20 6 28 11 27 4 23 22 23 4 28 27 26 4 24 25 23 5 18 18 17 4 20 20 21 6 28 24 25 4 21 27 27 7 25 21 24 8 18 18 27 8 21 15 21 10 22 24 24 8 24 22 21 5 15 14 15 12 28 28 25 4 23 26 22 4 26 17 24 6 20 18 23 7 22 11 23 8 26 26 22 11 23 23 22 8 21 15 24 6 26 22 24 7 23 26 25 5 27 20 26 8 19 18 21 4 22 19 26 5 25 23 28 6 25 24 18 4 25 23 20 6 19 27 25 16 25 23 22 6 22 18 21 6 20 16 18 4
Sample Range:
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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
Chart options
Title:
Label x-axis:
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 { plot(mytab <- table(x),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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