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Bins are closed on right side


Scale of data


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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.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	0 seconds
R Server	Big Analytics Cloud Computing Center

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[4,6[	5	3	0.003333	0.003333	0.001667
[6,8[	7	1	0.001111	0.004444	0.000556
[8,10[	9	4	0.004444	0.008889	0.002222
[10,12[	11	17	0.018889	0.027778	0.009444
[12,14[	13	26	0.028889	0.056667	0.014444
[14,16[	15	78	0.086667	0.143333	0.043333
[16,18[	17	3	0.003333	0.146667	0.001667
[18,20[	19	28	0.031111	0.177778	0.015556
[20,22[	21	197	0.218889	0.396667	0.109444
[22,24[	23	99	0.11	0.506667	0.055
[24,26[	25	300	0.333333	0.84	0.166667
[26,28[	27	2	0.002222	0.842222	0.001111
[28,30[	29	4	0.004444	0.846667	0.002222
[30,32[	31	80	0.088889	0.935556	0.044444
[32,34[	33	0	0	0.935556	0
[34,36[	35	20	0.022222	0.957778	0.011111
[36,38[	37	0	0	0.957778	0
[38,40[	39	1	0.001111	0.958889	0.000556
[40,42[	41	20	0.022222	0.981111	0.011111
[42,44[	43	0	0	0.981111	0
[44,46[	45	0	0	0.981111	0
[46,48[	47	0	0	0.981111	0
[48,50[	49	0	0	0.981111	0
[50,52[	51	16	0.017778	0.998889	0.008889
[52,54[	53	0	0	0.998889	0
[54,56[	55	0	0	0.998889	0
[56,58[	57	0	0	0.998889	0
[58,60[	59	0	0	0.998889	0
[60,62[	61	0	0	0.998889	0
[62,64[	63	0	0	0.998889	0
[64,66]	65	1	0.001111	1	0.000556