| 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: Thu, 25 Nov 2010 20:43:02 +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/Nov/25/t1290717713x4vq1vzl8vuujlg.htm/, Retrieved Thu, 25 Nov 2010 21:41:53 +0100 | | 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/Nov/25/t1290717713x4vq1vzl8vuujlg.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 « | 0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
54
222
522
1084
2023
3229
5198
8080
11132
14877
18448
21418
24525
26708
30336
33613
36727
39660
42131
43769
45025
46760
49385
51382
53800
54017
53313
53577
53629
54090
53725
52995
52453
52220
51870
51122
51296
49265
50020
50058
50799
50216
50571
42873
42535
40069
35293
31552
34590
36992
37279
35618
33745
32570
32227
31114
30698
29453
27620
24178
22031
19962
17784
16259
14147
11990
9988
8383
6661
4111
2154
1601
1295
1137
876
515
342
206
126
52
33
17
| | Output produced by software: |
Frequency Table (Histogram) | Bins | Midpoint | Abs. Frequency | Rel. Frequency | Cumul. Rel. Freq. | Density | [0,5000] | 2500 | 37 | 0.37 | 0.37 | 7.4e-05 | ]5000,10000] | 7500 | 5 | 0.05 | 0.42 | 1e-05 | ]10000,15000] | 12500 | 4 | 0.04 | 0.46 | 8e-06 | ]15000,20000] | 17500 | 4 | 0.04 | 0.5 | 8e-06 | ]20000,25000] | 22500 | 4 | 0.04 | 0.54 | 8e-06 | ]25000,30000] | 27500 | 3 | 0.03 | 0.57 | 6e-06 | ]30000,35000] | 32500 | 9 | 0.09 | 0.66 | 1.8e-05 | ]35000,40000] | 37500 | 6 | 0.06 | 0.72 | 1.2e-05 | ]40000,45000] | 42500 | 5 | 0.05 | 0.77 | 1e-05 | ]45000,50000] | 47500 | 4 | 0.04 | 0.81 | 8e-06 | ]50000,55000] | 52500 | 19 | 0.19 | 1 | 3.8e-05 |
| | Charts produced by software: | | http://www.freestatistics.org/blog/date/2010/Nov/25/t1290717713x4vq1vzl8vuujlg/1lz231290717780.png (open in new window) | http://www.freestatistics.org/blog/date/2010/Nov/25/t1290717713x4vq1vzl8vuujlg/1lz231290717780.ps (open in new window) |
| | Parameters (Session): | par2 = grey ; par3 = TRUE ; par4 = Unknown ; | | Parameters (R input): | par2 = grey ; par3 = TRUE ; 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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