Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
325.577251329476 333.089641034222 113.889703096624 570.703197964553 1133.40004449652 402.474276237571 666.803562218605 -29.1189231361895 575.867190979369 305.38032342624 160.138819647441 9.48788083886949 223.609003588165 157.521513103422 -307.077769227644 -45.5692056105275 -35.2677443646298 -86.9750529797284 210.153424567547 3.59479918769375 -57.2018537145624 489.07821641075 143.53831976508 -59.0672145063756 -353.647783383449 253.938239692758 -283.46830633063 -300.947078413118 243.394533738825 138.692624300063 -85.9959087156828 554.060333662123 -149.046420803771 373.479276728566 161.687560093809 191.870424195199 511.478607001318 84.2584774820797 -161.969077858812 100.892867091867 -226.80446969391 -268.98542324734 215.027402589395 -42.2962952545956 -244.29866581818 458.609212827287 18.501909610537 280.09843819512 152.082450504742 16.7083393214979 -279.863567914552 -299.033165439936 -206.875230689088 -48.0411090912959 690.54030334507 1015.8091624753 1076.68829560805 1303.63349084839 34.0047496050582 -686.971026463498 -976.358233494381 -806.364379643047 -988.275590381893 -706.167012999281 -600.484138633086 -675.369044934168 -269.661299588882 -502.741224340561 19.8662767315184 -264.069231204843 -449.774093585705 -2.48238142923595 -77.5470296476844 -346.61243512156 -205.12517821458 75.4986322695142 270.29445452241 -30.1665751994252 313.772047726542 90.6102850977104 -74.8142704383447 -11.1890646336835 -44.3575454024036 -83.6920241697385 -112.024131120234 -40.8165060286756 -334.549731971216 -292.777741971856 81.7934354556689 -254.611479190353 6.36416447492543 40.3842286267129 -327.994889974434 -174.418917096039 -100.355622538468 -378.882546221304 -241.899579853059 -222.520076465644 -532.867452198714 -4.99767826784626 755.187917254682 892.585974013854 1494.76987793074 858.188998045767 -531.968135443374 -572.028601838197 -699.832978103835 -417.287132996138 -297.184190208766 -495.351852854753 -764.744019347299 -428.194849549029
Sample Range:
(leave blank to include all observations)
From:
To:
Number of bins
(leave empty to use default)
(?)
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
par4 <- 'Unknown' par3 <- 'FALSE' par2 <- 'grey' par1 <- '20000' 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
Click here to blog (archive) this computation