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Data:
20 25 15 15 25 25 25 21 30 25 20 40 13 30 25 20 25 20 25 20 20 15 15 12 20 5 20 15 25 22 20 22 25 20 20 35 30 25 20 20 20 25 25 15 20 35 25 25 30 23 10 22 25 25 22 30 20 25 25 22 25 25 25 22 25 12 18 20 20 22 30 25 22 20 50 30 25 20 30 22 25 30 22 25 22 22 25 25 25 20 22 15 20 30 20 25 30 35 22 12 30 15 10 30 9 25 20 20 35 25 35 30 12 25 15 25 25 20 20 6 15 40 20 40 25 25 20 15 15 22 24 22 20 25 25 25 35 40 20 22 22 20 25 25 18 25 20 25 30 20 22 35 22 25 25 25 25 22 23 35 15 25 18 22 25 25 28 30 20 25 25 30 22 30 10 10 25 20 22 25 25 15 22 25 25 28 22 30 25 20 25 25 20 30 20 30 50 19 20 28 20 25 35 25 25 15 16 20 20 25 30 20 25 25 25 20 20 25 25 30 22 20 25 25 18 18 20 25 25 30 25 20 25 20 20 20 22 18 22 20 15 25 25 20 25 15 22 25 25 15 12 25 30 22 15 22 25 12 18 30 25 25 40 24 25 15 25 20 25 25 25 20 30 20 25 30 22 25 25 25 50 19 50 25 35 20 20 20 20 20 25 25 25 20 20 20 20 25 18 25 22 22 30 30 8 20 25 30 50 22 20 10 25 25 25 25 18 25 20 25 30 18 20 25 22 22 20 20 25 20 20 20 20 25 20 10 20 25 30 25 50 30 30 50 15 25 25 22 20 22 30 25 18 22 22 30 40 25 20 10 20 9 15 20 15 20 30 12 15 12 20 15 12 25 20 25 25 25 30 20 25 15 15 22 10 15 10 20 25 20 20 38 20 20 20 40 25 25 30 25 10 20 25 12 15 25 20 22 22 20 25 25 25 15 40 20 20 16 25 15 20 25 20 30 50 20 25 20 30 30 25 25 12 25 25 25 20 20 20 15 20 25 15 25 50 30 20 20 25 12 15 20 20 35 22 15 18 30 22 12 12 20 20 15 25 15 20 20 25 18 30 20 25 25 25 20 20 25 20 22 15 15 22 20 10 25 20 20 15 12 20 5 20 15 15 25 25 25 15 25 22 25 20 18 22 25 35 25 25 25 35 30 22 30 50 15 25 24 20 25 25 25 12 15 22 25 25 25 25 15 20 20 15 35 30 20 22 65 20 25 22 20 25 25 20 25 15 20 12 15 10 25 15 30 35 25 25 25 25 25 40 40 25 25 20 25 25 22 25 30 25 25 30 25 25 30 25 25 20 22 22 20 25 22 25 22 40 25 25 25 22 20 35 20 35 25 22 25 25 25 25 25 40 25 30 25 20 25 25 30 22 22 20 15 15 25 25 20 20 15 25 15 20 22 25 15 15 18 5 15 25 18 40 25 25 20 30 20 25 25 25 22 22 25 25 30 25 25 25 25 20 20 25 25 25 25 20 30 25 22 30 20 20 30 25 25 30 20 25 25 24 25 30 18 15 22 22 25 22 22 25 15 20 22 18 35 20 20 20 25 25 30 15 25 22 26 25 20 25 25 25 22 25 25 20 22 30 15 30 25 20 25 25 35 22 20 25 20 20 18 20 22 25 10 20 25 20 20 30 25 20 15 20 25 10 20 25 22 22 25 25 15 25 20 10 25 16 25 35 25 15 25 25 30 25 10 22 20 25 20 20 25 22 18 30 19 25 20 25 20 25 20 22 12 30 12 22 25 25 25 25 30 30 10 22 22 25 20 22 20 25 20 15 25 20 25 20 30 15 40 25 20 22 22 30 20 40 20 25 20 25 20 50 50 25 25 40 30 22 30 20 25 25 30 25 25 20 18 18 28 25 22 15 40 40 12 12 18 12 25 26 18 25 22 15 25 15 15 15 25 15 12 22 20 20 25 20 12 9 15 12 15 25 20 20 15 15 30 21 25 22 22 50 15 25 15 25 22 18 50 20 50 20 20 30 25 20 22 25 50 40 25 25 25 25 30 40 25 30 20


Sample Range: (leave blank to include all observations)
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Number of bins (leave empty to use default) (?)


Colour


Bins are closed on right side


Scale of data


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.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) } dev.off() 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')

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	Big Analytics Cloud Computing Center