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Data:
€133448.00 €132951.00 €132447.00 €131404.00 €141722.00 €141176.00 €133448.00 €128310.00 €128807.00 €128807.00 €129360.00 €130354.00 €131901.00 €131901.00 €130907.00 €128310.00 €141722.00 €143766.00 €140679.00 €133448.00 €136542.00 €131901.00 €133994.00 €134995.00 €136038.00 €133448.00 €133994.00 €130354.00 €141722.00 €145313.00 €142226.00 €136542.00 €142723.00 €136038.00 €142226.00 €141722.00 €143269.00 €137585.00 €143766.00 €143269.00 €152544.00 €150451.00 €142226.00 €138082.00 €143766.00 €136038.00 €141722.00 €142723.00 €144816.00 €140182.00 €142723.00 €144270.00 €149954.00 €145313.00 €139132.00 €132447.00 €138635.00 €121625.00 €129857.00 €134491.00 €139132.00 €132447.00 €132447.00 €132447.00 €136038.00 €130907.00 €124173.00 €118538.00 €122626.00 €106666.00 €116445.00 €122129.00 €123172.00 €117488.00 €117985.00 €116445.00 €121625.00 €117985.00 €110810.00 €105623.00 €114394.00 €95347.00 €107716.00 €113351.00 €113351.00 €106666.00 €100485.00 €99988.00 €105623.00 €100485.00 €90713.00 €83979.00 €91210.00 €74207.00 €89663.00 €97888.00 €100485.00 €94801.00 €87619.00 €92757.00 €94801.00 €93254.00 €77791.00 €70616.00 €75747.00 €60291.00 €76251.00 €81935.00 €86569.00 €78841.00 €71610.00 €75747.00 €77791.00 €73703.00 €58247.00 €51513.00 €57694.00 €40691.00 €59241.00 €70616.00
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 { barplot(mytab <- sort(table(x),T),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,'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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Computing time
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R Server
Big Analytics Cloud Computing Center
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