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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSat, 19 Jan 2008 04:54:32 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Jan/19/t1200743705j92xzwrcvnbcm0k.htm/, Retrieved Mon, 29 Apr 2024 11:37:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=8021, Retrieved Mon, 29 Apr 2024 11:37:34 +0000
QR Codes:

Original text written by user:Bij de keuze van meerdere klassen, ziet de verdeling er anders uit. In dit voorbeeld zijn er duidelijk twee "bergen", de verdeling is bimodaal.
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact302

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Verdeling van de ...] [2008-01-19 11:54:32] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
30
30
34
28
29
30
32
32
33
34
33
33
33
33
34
34
34
34
33
33
34
32
32
33
36
38
33
35
36
33
33
34
33
23
25
27
28
39
36
35
34
33
40
33
34
35
32
31
34
34
35
33
36
36
35
35
35
35
35
34
27
28
29
30
31
32
30
30
31
31
31
31
31
32
32
32
32
32
33
33
34
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
44
44
44
44
44
43
43
43
43
43
42
42
41
40
46
46
46
46
46
46
46
46
46
47
47
47
55
54
53
53
52
52
52
52
51
51
50
50
49
49
49
49
49
49
48
43
43
44
46
47
47
47
47
47
47
47
48
48
48
48
48
48
50
50
50
51

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=8021&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=8021&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=8021&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[22,24[2310.0061730.0061730.003086
[24,26[2510.0061730.0123460.003086
[26,28[2750.0308640.043210.015432
[28,30[2980.0493830.0925930.024691
[30,32[31180.1111110.2037040.055556
[32,34[33310.1913580.3950620.095679
[34,36[35140.086420.4814810.04321
[36,38[3710.0061730.4876540.003086
[38,40[3930.0185190.5061730.009259
[40,42[4130.0185190.5246910.009259
[42,44[43130.0802470.6049380.040123
[44,46[45250.1543210.7592590.07716
[46,48[47170.1049380.8641980.052469
[48,50[49110.0679010.9320990.033951
[50,52[5170.043210.9753090.021605
[52,54[5330.0185190.9938270.009259
[54,56[5510.00617310.003086

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[22,24[ & 23 & 1 & 0.006173 & 0.006173 & 0.003086 \tabularnewline
[24,26[ & 25 & 1 & 0.006173 & 0.012346 & 0.003086 \tabularnewline
[26,28[ & 27 & 5 & 0.030864 & 0.04321 & 0.015432 \tabularnewline
[28,30[ & 29 & 8 & 0.049383 & 0.092593 & 0.024691 \tabularnewline
[30,32[ & 31 & 18 & 0.111111 & 0.203704 & 0.055556 \tabularnewline
[32,34[ & 33 & 31 & 0.191358 & 0.395062 & 0.095679 \tabularnewline
[34,36[ & 35 & 14 & 0.08642 & 0.481481 & 0.04321 \tabularnewline
[36,38[ & 37 & 1 & 0.006173 & 0.487654 & 0.003086 \tabularnewline
[38,40[ & 39 & 3 & 0.018519 & 0.506173 & 0.009259 \tabularnewline
[40,42[ & 41 & 3 & 0.018519 & 0.524691 & 0.009259 \tabularnewline
[42,44[ & 43 & 13 & 0.080247 & 0.604938 & 0.040123 \tabularnewline
[44,46[ & 45 & 25 & 0.154321 & 0.759259 & 0.07716 \tabularnewline
[46,48[ & 47 & 17 & 0.104938 & 0.864198 & 0.052469 \tabularnewline
[48,50[ & 49 & 11 & 0.067901 & 0.932099 & 0.033951 \tabularnewline
[50,52[ & 51 & 7 & 0.04321 & 0.975309 & 0.021605 \tabularnewline
[52,54[ & 53 & 3 & 0.018519 & 0.993827 & 0.009259 \tabularnewline
[54,56[ & 55 & 1 & 0.006173 & 1 & 0.003086 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=8021&T=1

[TABLE]
[ROW][C]Frequency Table (Histogram)[/C][/ROW]
[ROW][C]Bins[/C][C]Midpoint[/C][C]Abs. Frequency[/C][C]Rel. Frequency[/C][C]Cumul. Rel. Freq.[/C][C]Density[/C][/ROW]
[ROW][C][22,24[[/C][C]23[/C][C]1[/C][C]0.006173[/C][C]0.006173[/C][C]0.003086[/C][/ROW]
[ROW][C][24,26[[/C][C]25[/C][C]1[/C][C]0.006173[/C][C]0.012346[/C][C]0.003086[/C][/ROW]
[ROW][C][26,28[[/C][C]27[/C][C]5[/C][C]0.030864[/C][C]0.04321[/C][C]0.015432[/C][/ROW]
[ROW][C][28,30[[/C][C]29[/C][C]8[/C][C]0.049383[/C][C]0.092593[/C][C]0.024691[/C][/ROW]
[ROW][C][30,32[[/C][C]31[/C][C]18[/C][C]0.111111[/C][C]0.203704[/C][C]0.055556[/C][/ROW]
[ROW][C][32,34[[/C][C]33[/C][C]31[/C][C]0.191358[/C][C]0.395062[/C][C]0.095679[/C][/ROW]
[ROW][C][34,36[[/C][C]35[/C][C]14[/C][C]0.08642[/C][C]0.481481[/C][C]0.04321[/C][/ROW]
[ROW][C][36,38[[/C][C]37[/C][C]1[/C][C]0.006173[/C][C]0.487654[/C][C]0.003086[/C][/ROW]
[ROW][C][38,40[[/C][C]39[/C][C]3[/C][C]0.018519[/C][C]0.506173[/C][C]0.009259[/C][/ROW]
[ROW][C][40,42[[/C][C]41[/C][C]3[/C][C]0.018519[/C][C]0.524691[/C][C]0.009259[/C][/ROW]
[ROW][C][42,44[[/C][C]43[/C][C]13[/C][C]0.080247[/C][C]0.604938[/C][C]0.040123[/C][/ROW]
[ROW][C][44,46[[/C][C]45[/C][C]25[/C][C]0.154321[/C][C]0.759259[/C][C]0.07716[/C][/ROW]
[ROW][C][46,48[[/C][C]47[/C][C]17[/C][C]0.104938[/C][C]0.864198[/C][C]0.052469[/C][/ROW]
[ROW][C][48,50[[/C][C]49[/C][C]11[/C][C]0.067901[/C][C]0.932099[/C][C]0.033951[/C][/ROW]
[ROW][C][50,52[[/C][C]51[/C][C]7[/C][C]0.04321[/C][C]0.975309[/C][C]0.021605[/C][/ROW]
[ROW][C][52,54[[/C][C]53[/C][C]3[/C][C]0.018519[/C][C]0.993827[/C][C]0.009259[/C][/ROW]
[ROW][C][54,56[[/C][C]55[/C][C]1[/C][C]0.006173[/C][C]1[/C][C]0.003086[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=8021&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=8021&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[22,24[2310.0061730.0061730.003086
[24,26[2510.0061730.0123460.003086
[26,28[2750.0308640.043210.015432
[28,30[2980.0493830.0925930.024691
[30,32[31180.1111110.2037040.055556
[32,34[33310.1913580.3950620.095679
[34,36[35140.086420.4814810.04321
[36,38[3710.0061730.4876540.003086
[38,40[3930.0185190.5061730.009259
[40,42[4130.0185190.5246910.009259
[42,44[43130.0802470.6049380.040123
[44,46[45250.1543210.7592590.07716
[46,48[47170.1049380.8641980.052469
[48,50[49110.0679010.9320990.033951
[50,52[5170.043210.9753090.021605
[52,54[5330.0185190.9938270.009259
[54,56[5510.00617310.003086


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 15 ; par2 = grey ;
Parameters (R input):
par1 = 15 ; par2 = grey ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
bitmap(file='test1.png')
if (is.na(par1)) {
myhist<-hist(x,col=par2,main=main,xlab=xlab)
} else {
if (par1 < 0) par1 <- 3
if (par1 > 50) par1 <- 50
myhist<-hist(x,breaks=par1,col=par2,main=main,xlab=xlab)
}
dev.off()
myhist
n <- length(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('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
for (i in 1:(length(myhist$breaks)-1)) {
a<-table.row.start(a)
dum <- paste('[',myhist$breaks[i],sep='')
dum <- paste(dum,myhist$breaks[i+1],sep=',')
dum <- paste(dum,'[',sep='')
a<-table.element(a,dum,header=TRUE)
a<-table.element(a,myhist$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')