| Frequentietabel aantal motorfietsen 2009 | *Unverified author* | R Software Module: /rwasp_histogram.wasp (opens new window with default values) | Title produced by software: Histogram | Date of computation: Tue, 28 Sep 2010 14:40:23 +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/Sep/28/t1285685009w3ix95zj1pjcc6u.htm/, Retrieved Tue, 28 Sep 2010 16:43:29 +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/Sep/28/t1285685009w3ix95zj1pjcc6u.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: | Deze cijfers geven het aantal motorfietsen per merk en model aan op de Nederlandse wegen op 31 oktober 2009 | | IsPrivate? | No (this computation is public) | | User-defined keywords: | KDGP1W1 | | Dataseries X: | » Textbox « » Textfile « » CSV « | 86
944
155
88
306
8
2
152
43
32
236
1
782
4
732
132
2.028
24
33
100
237
278
127
36
1
24
45
6
682
2
15
1
15
54
73
12
8
2
47
10
102
13
49
110
7
2
28
2
1
18
2
4
1
2
2
31
1
1
19
2
14
6.841
352
947
464
265
177
1.565
204
295
91
187
332
25
71
9
100
1
358
695
893
1.756
1.250
2.185
797
690
738
262
1.357
452
135
34
98
1.642
304
2.245
729
447
51
482
444
1.206
1.120
290
103
1.339
843
1.432
2.680
1.082
2.443
1.040
240
2.691
679
94
3.998
366
2.083
162
193
210
235
319
910
15
4
1.872
1
632
65
88
126
20
168
2.082
1.449
386
52
3
1.116
113
91
68
796
341
275
514
48
28
135
192
249
975
2
52
154
20
76
90
39
60
73
110
172
98
2
142
30
207
62
188
24
2
4
39
2
42
5
71
368
11
68
2
49
1
7
81
121
17
17
60
319
21
84
866
358
1.604
33
256
203
103
260
1.776
106
102
463
452
239
352
11
2.244
38
157
664
129
656
15
18
1.077
99
279 etc... | | Output produced by software: |
Frequency Table (Histogram) | Bins | Midpoint | Abs. Frequency | Rel. Frequency | Cumul. Rel. Freq. | Density | [0,100[ | 50 | 534 | 0.615917 | 0.615917 | 0.006159 | [100,200[ | 150 | 117 | 0.134948 | 0.750865 | 0.001349 | [200,300[ | 250 | 65 | 0.074971 | 0.825836 | 0.00075 | [300,400[ | 350 | 47 | 0.05421 | 0.880046 | 0.000542 | [400,500[ | 450 | 22 | 0.025375 | 0.905421 | 0.000254 | [500,600[ | 550 | 16 | 0.018454 | 0.923875 | 0.000185 | [600,700[ | 650 | 18 | 0.020761 | 0.944637 | 0.000208 | [700,800[ | 750 | 19 | 0.021915 | 0.966551 | 0.000219 | [800,900[ | 850 | 16 | 0.018454 | 0.985006 | 0.000185 | [900,1000] | 950 | 13 | 0.014994 | 1 | 0.00015 |
| | Charts produced by software: | | http://www.freestatistics.org/blog/date/2010/Sep/28/t1285685009w3ix95zj1pjcc6u/13xkm1285684820.png (open in new window) | http://www.freestatistics.org/blog/date/2010/Sep/28/t1285685009w3ix95zj1pjcc6u/13xkm1285684820.ps (open in new window) |
| | Parameters (Session): | par2 = grey ; par3 = FALSE ; par4 = Unknown ; | | Parameters (R input): | 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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