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Task 3: Histogram

*The author of this computation has been verified*
R Software Module: /rwasp_histogram.wasp (opens new window with default values)
Title produced by software: Histogram
Date of computation: Sun, 03 Oct 2010 16:33:24 +0000
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2010/Oct/03/t1286123793ltoner6o7oerom8.htm/, Retrieved Sun, 03 Oct 2010 18:36:33 +0200
 
BibTeX entries for LaTeX users:
@Manual{KEY,
    author = {{YOUR NAME}},
    publisher = {Office for Research Development and Education},
    title = {Statistical Computations at FreeStatistics.org, URL http://www.freestatistics.org/blog/date/2010/Oct/03/t1286123793ltoner6o7oerom8.htm/},
    year = {2010},
}
@Manual{R,
    title = {R: A Language and Environment for Statistical Computing},
    author = {{R Development Core Team}},
    organization = {R Foundation for Statistical Computing},
    address = {Vienna, Austria},
    year = {2010},
    note = {{ISBN} 3-900051-07-0},
    url = {http://www.R-project.org},
}
 
Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
4.813 8.95 33.999 37.028 39.047 57.47 59.609 62.156 64.016 70.939 72.844 85.094 86.58 103.898 109.215 131.812 136.452 136.813 137.55 140.321 150.034 156.187 158.047 169.861 171.26 171.328 180.818 183.186 183.613 184.641 187.881 190.157 190.379 191.835 192.797 193.299 197.549 198.296 199.297 199.746 200.156 203.077 204.386 206.771 206.893 207.533 208.108 211.655 213.361 213.511 213.923 216.046 216.548 216.886 217.465 218.761 220.553 221.588 223.166 226.731 229.641 232.444 232.669 235.577 236.302 236.71 238.502 239.89 240.755 241.171 242.205 242.344 246.542 249.148 250.407 251.422 252.64 257.102 257.567 259.7 260.642 261.596 262.517 262.875 263.906 265.777 266.793 274.482 275.562 278.741 287.069 289.714 293.671 295.281 308.16 308.174 308.532 313.906 315.955 324.04 330.563 348.821 350.089 356.725 366.936 380.155 380.531 383.703 386.688 388.3 392.25 401.422 401.915 403.064 403.556 406.167 421.403 4 etc...
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24


Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,50[2530.0229010.0229010.000458
[50,100[7580.0610690.0839690.001221
[100,150[12570.0534350.1374050.001069
[150,200[175200.1526720.2900760.003053
[200,250[225340.2595420.5496180.005191
[250,300[275200.1526720.702290.003053
[300,350[32580.0610690.7633590.001221
[350,400[37590.0687020.8320610.001374
[400,450[425120.0916030.9236640.001832
[450,500[47510.0076340.9312980.000153
[500,550[52510.0076340.9389310.000153
[550,600[57510.0076340.9465650.000153
[600,650[62530.0229010.9694660.000458
[650,700]67540.03053410.000611
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2010/Oct/03/t1286123793ltoner6o7oerom8/1zo451286123601.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Oct/03/t1286123793ltoner6o7oerom8/1zo451286123601.ps (open in new window)


 
Parameters (Session):
par1 = 14 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
 
Parameters (R input):
par1 = 14 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
 
R code (references can be found in the software module):
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 {
plot(mytab <- table(x),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,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')
} 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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Software written by Ed van Stee & Patrick Wessa


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