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2.817623258 2.835924074 2.849999259 2.853995647 2.853995647 2.853995647 2.875780063 2.889473543 2.889473543 2.891419187 2.906890596 2.906890596 2.906890596 2.918386234 2.922197848 2.935459748 2.937344392 2.944858446 2.94673086 2.94673086 2.950468414 2.952333566 2.965322548 2.970853654 2.98550043 2.989139007 2.989139007 3.003602237 3.014355293 3.016139703 3.023255352 3.049630768 3.058316496 3.085764554 3.087462841 3.09592442 3.097610797 3.097610797 3.10433666 3.116031993 3.121015401 3.124328135 3.140778656 3.14404637 3.177917792 3.177917792 3.177917792 3.187451054 3.189033824 3.19061486 3.196921734 3.200064862 3.204766751 3.215678597 3.221877081 3.231125158 3.241840184 3.243364426 3.247927513 3.260025656 3.295723025 3.295723025 3.313245852 3.319039816 3.331991778 3.364572432 3.370164281 3.375734539 3.377123749 3.3950628 3.396433531 3.401903472 3.46727948 3.469885976 3.498250868 3.507160349 3.526068812 3.532316959 3.544732656 3.544732656 3.558267634 3.560714954 3.56193706 3.600507645 3.602884409 3.666756592 3.678071905 3.679198571 3.688180359 3.697106574 3.698218478 3.702657543 3.737686761 3.765534746 3.768713657 3.783456654 3.783456654 3.798050515 3.803227036 3.924099886 3.938285792 3.950468414 3.959770155 3.975446766 3.97819563 3.986410935 3.986410935 4.004501392 4.006298024 4.014355293 4.040015679 4.067810784 4.08236197 4.097610797 4.101818134 4.15704371 4.188242656 4.203984166 4.219555769 4.227278994 4.255500733 4.255500733 4.28169825 4.309612772 4.322649262 4.329841177 4.3305584 4.3305584 4.344828497 4.428276414 4.432291338 4.454175893 4.459431619 4.482848283 4.491211756 4.502075956 4.510961919 4.51412226 4.517905554 4.533563348 4.556429415 4.563768278 4.589164237 4.604071324 4.614709844 4.673556424 4.673556424 4.682573297 4.725195817 4.763411574 4.799605422 4.882153917 4.884597921 4.903520374 4.930264245 5.009884589 5.009884589 5.058749412 5.151371776 5.197708158 5.199672345 5.242602506 5.243364426 5.320484678 5.331991778 5.430954271 5.482202926 5.483170853 5.484782623 5.49441561 5.518220381 5.520736527 5.677790101 5.677790101 5.780310099 5.783194703 5.846493316 5.877989585 5.877989585 5.923386916 5.966937979 6.060695932 6.109360559 6.109360559 6.109360559 6.184280294 6.351910961 6.359310317 6.397974049 6.417177412 6.510170751 6.581953751 6.608809243 6.631540867 6.711632562 6.783587612 6.883254231 6.960465374 6.994013939 7.132885254 7.349612972 7.505255801 7.589988142 7.759621917 8.09934781 8.250345796 8.454957251 8.528532251 8.558994616 9.358651201 9.521698579 9.663682622 9.964340868 9.964340868 9.964340868 9.964340868 9.964340868 9.964340868 9.964340868 9.964340868 9.964340868 9.964340868 9.964340868 9.964340868 9.964340868 9.964340868 9.964340868 9.964340868 9.964340868 9.964340868 9.964340868 9.964340868 9.964340868 9.964340868 9.964340868 9.964340868 9.964340868 9.964340868 9.964340868 9.964340868 9.964340868 9.964340868 9.964340868 9.964340868 9.964340868 9.964340868 9.964340868 9.964340868 9.964340868 9.964340868 9.964340868 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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 <- '' 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') }
Compute
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
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