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Data:
11.95 12.01 11.89 11.94 11.555 11.60 11.60 11.54 11.10 10.72 11.98 11.66 10.26 9.705 9.59 9.20 8.79 8.49 8.40 8.81 8.54 8.20 8.24 9.06 8.90 8.71 8.70 7.925 7.57 7.71 7.52 76.216 7.69 7.76 7.84 7.99 7.83 7.80 7.80 7.91 7.76 7.80 8.24 8.22 8.225 8.06 8.27 7.86 7.50 7.14 7.00 6.60 6.305 6.455 69.053 7.21 7.415 7.25 7.56 7.425 7.42 7.46 7.15 7.19 6.715 6.52 6.645 6.69 6.71 6.91 7.02 7.07 6.94 7.065 7.07 7.16 7.35 7.47 7.50 7.52 7.56 8.07 8.29 7.80 7.62 7.31 7.26 6.99 6.95 7.117 7.15 7.23 7.375 6.965 6.81 6.93 6.86 6.775 6.96 6.95 6.92 6.995 7.245 7.42 7.40 7.29 7.67 8.10 7.69 7.35 7.49 7.39 9.13 9.18 8.965 9.105 9.855 10.065 10.33 10.745 10.60 10.89 10.40 10.665 10.61 10.355 10.88 10.72 10.34 9.985 9.66 10.26 10.33 10.351 11.23 11.00 10.71 11.09 11.06 11.50 10.99 11.38 11.02 11.10 11.80 11.80 11.80 11.91 12.01 11.82 12.01 12.04 12.80 13.48 14.30 14.03 14.14 13.65 13.25 13.08 13.34 13.47 13.20 13.41 13.42 12.89 13.345 13.05 12.93 13.02 12.67 12.76 13.01 14.37 14.70 13.73 13.67 13.89 14.04 13.66 13.78 14.04 14.11 14.47 14.38 13.45 13.15 13.49 13.11 13.58 13.195 12.90 13.125 13.32 13.79 13.58 14.165 14.50 14.42 14.72 14.67 14.66 14.88 15.07 15.39 14.80 14.57 14.90 15.44 15.90 16.49 16.71 16.575 16.88 17.21 16.70 16.63 17.02 16.80 16.26 16.30 15.01 15.56 17.00 17.57 17.28 17.47 16.17 16.44 15.61 15.51 15.505 15.34 15.05 15.08 15.51 14.50 14.34 14.25 14.87 13.915 14.00 13.78 12.52 12.89 13.44 15.13 15.08 15.48 16.21 16.46 16.33 16.64 17.03 17.02 16.77 18.58 17.86 17.37 16.48 16.00 16.20 16.87 17.36 18.19 18.65 19.21 19.13 18.29 18.49 17.58 18.05 18.83 18.89 18.97 18.85 18.91 19.30 20.20 21.30 21.28 20.72 22.27 23.49 22.77 22.31 22.31 23.21 22.40 23.97 23.61 23.88 24.41 23.23 23.36 24.42 23.595 21.00 20.50 20.30 21.16 21.898 22.65 21.68 21.32 21.26 21.54 22.73 23.72 23.93 29.54 29.72 30.13 30.17 29.68 31.31 31.90 30.97 30.12 31.85 32.49 32.55 30.73 29.18 28.22 28.57 27.50 26.51 26.69 25.76 26.79 26.93 27.11 24.56 24.18 22.10 23.12 21.87 23.39 23.59 25.33 24.15 24.79 25.00 25.46 25.71 27.39 26.67 27.91 27.92 26.64 26.77 26.68 27.52 27.27 28.15 28.48 28.05 28.98 29.03 27.72 28.92 28.93 28.85 28.78 28.24 28.17 28.57 29.77 28.40 28.55 25.89 27.75 35.33 35.17 35.76 36.20 36.56 37.61 36.73 37.82 38.91 38.98 40.43 40.30 42.85 43.60 43.57 43.14 43.11 43.52 43.52 44.23 45.43 43.78 42.86 43.24 43.79 44.18 45.26 45.01 45.99 47.29 47.37 48.24 48.10 48.65 56.59 55.57 55.20 53.44 53.77 54.46 53.22 54.83 53.40 53.92 54.83 53.72 54.64 54.78 55.13 55.71 54.40 54.79 56.08 56.54 57.03 57.05 55.99 56.89 64.09 62.12 62.41 62.17 60.91 60.85 59.84 61.09 62.35 63.38 62.60 64.80 64.78 64.86 66.47 68.45 65.83 66.40 66.20 65.99 65.79 65.17 67.42 69.86 69.69 68.35 65.30 65.54 66.87 66.88 63.57 63.60 63.20 63.69 62.67 61.11 60.40 59.11 60.15 61.98 62.00 61.40 62.69 61.55 62.40 63.28 65.22 64.77 64.01 63.53 62.89 62.09 61.68 61.37 61.92 59.10 58.94 58.13 58.07 58.17 58.02 58.47 58.65 58.69 58.24 58.48 60.20 59.24 59.18 60.45 60.81 62.15
Sample Range:
(leave blank to include all observations)
From:
To:
Number of bins
(leave empty to use default)
(?)
Colour
grey
grey
white
blue
red
black
brown
yellow
Bins are closed on right side
FALSE
FALSE
TRUE
Scale of data
Unknown
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
par4 <- 'Unknown' par3 <- 'FALSE' par2 <- 'grey' par1 <- '30' 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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Summary of computational transaction
Raw Input
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Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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