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Data:
102.61 102.18 101.64 102 102.18 101.89 102.09 101.6 101.33 101.44 101.49 100.41 101.38 101.4 102.16 104.46 104.75 104.2 106.05 107.54 108.23 108.99 109.51 111.99 111.08 112.95 115.49 114.67 116.85 119.57 119.41 118.46 122.81 121.76 121.37 118.61 116.08 117.84 117.02 119.78 122.58 120.98 118.92 117.81 119.73 117.16 116.03 115.55 115.36 116.09 117.32 120.45 119.86 118.51 118.92 119.11 120.34 121.23 119.43 119.28 120.64 122.24 123.1 120.72 118.34 118.8 119.29 121.47 122.35 121.53 121.72 121.58 121.55 122.02 123.74 125.8 129.29 128.89 130.04 131.57 131.97 134.43 132.63 130.26 129 131.65 134.21 138.63 138.1 140.51 144.36 145.57 148.7 147.86 143.16 141.96
Sample Range:
(leave blank to include all observations)
From:
To:
Number of bins
(leave empty to use default)
(?)
Colour
1
grey
white
blue
red
black
brown
yellow
Bins are closed on right side
1
FALSE
TRUE
Scale of data
12
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) bitmap(file='test1.png') if (is.na(par1)) { myhist<-hist(x,col=par2) } else { if (par1 < 0) par1 <- 3 if (par1 > 50) par1 <- 50 myhist<-hist(x,breaks=par1,col=par2) } 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 for (i in 1:(length(myhist$breaks)-1)) { a<-table.row.start(a) dum <- paste('[',myhist$breaks[i],sep='') dum <- paste(dum,myhist$breaks[i+1],sep=',') dum <- paste(dum,'[',sep='') a<-table.element(a,dum,header=TRUE) a<-table.element(a,myhist$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')
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Raw Input
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Raw Output
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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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