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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationThu, 11 Dec 2014 11:56:48 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/11/t14182990816wg6r0e4f8sns34.htm/, Retrieved Thu, 16 May 2024 16:05:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=265800, Retrieved Thu, 16 May 2024 16:05:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact75

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [] [2014-12-11 11:53:27] [4c4ebb0b36a379d1d949ba77427e658a]
- R P     [Histogram] [] [2014-12-11 11:56:48] [d9810f96fa2f1581f787e7f797109997] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
23
16
33
32
52
75
72
15
29
13
40
19
24
121
36
23
85
41
46
18
35
17
4
28
44
38
57
23
26
36
22
40
18
31
11
38
24
37
37
22
43
31
31
-4
21
21
32
26
32
33
30
67
22
33
24
28
41
31
33
41
21
52
29
11
26
7
13
20
52
28
39
9
19
60
19
14
24
-2
51
2
24
40
20
20
25
38

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational 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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265800&T=0

[TABLE]
[ROW][C]Summary of computational 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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265800&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265800&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 computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[-10,0[-520.0232560.0232560.002326
[0,10[540.0465120.0697670.004651
[10,20[15130.1511630.220930.015116
[20,30[25260.3023260.5232560.030233
[30,40[35210.2441860.7674420.024419
[40,50[4590.1046510.8720930.010465
[50,60[5550.058140.9302330.005814
[60,70[6520.0232560.9534880.002326
[70,80[7520.0232560.9767440.002326
[80,90[8510.0116280.9883720.001163
[90,100[95000.9883720
[100,110[105000.9883720
[110,120[115000.9883720
[120,130]12510.01162810.001163

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-10,0[ & -5 & 2 & 0.023256 & 0.023256 & 0.002326 \tabularnewline
[0,10[ & 5 & 4 & 0.046512 & 0.069767 & 0.004651 \tabularnewline
[10,20[ & 15 & 13 & 0.151163 & 0.22093 & 0.015116 \tabularnewline
[20,30[ & 25 & 26 & 0.302326 & 0.523256 & 0.030233 \tabularnewline
[30,40[ & 35 & 21 & 0.244186 & 0.767442 & 0.024419 \tabularnewline
[40,50[ & 45 & 9 & 0.104651 & 0.872093 & 0.010465 \tabularnewline
[50,60[ & 55 & 5 & 0.05814 & 0.930233 & 0.005814 \tabularnewline
[60,70[ & 65 & 2 & 0.023256 & 0.953488 & 0.002326 \tabularnewline
[70,80[ & 75 & 2 & 0.023256 & 0.976744 & 0.002326 \tabularnewline
[80,90[ & 85 & 1 & 0.011628 & 0.988372 & 0.001163 \tabularnewline
[90,100[ & 95 & 0 & 0 & 0.988372 & 0 \tabularnewline
[100,110[ & 105 & 0 & 0 & 0.988372 & 0 \tabularnewline
[110,120[ & 115 & 0 & 0 & 0.988372 & 0 \tabularnewline
[120,130] & 125 & 1 & 0.011628 & 1 & 0.001163 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265800&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][-10,0[[/C][C]-5[/C][C]2[/C][C]0.023256[/C][C]0.023256[/C][C]0.002326[/C][/ROW]
[ROW][C][0,10[[/C][C]5[/C][C]4[/C][C]0.046512[/C][C]0.069767[/C][C]0.004651[/C][/ROW]
[ROW][C][10,20[[/C][C]15[/C][C]13[/C][C]0.151163[/C][C]0.22093[/C][C]0.015116[/C][/ROW]
[ROW][C][20,30[[/C][C]25[/C][C]26[/C][C]0.302326[/C][C]0.523256[/C][C]0.030233[/C][/ROW]
[ROW][C][30,40[[/C][C]35[/C][C]21[/C][C]0.244186[/C][C]0.767442[/C][C]0.024419[/C][/ROW]
[ROW][C][40,50[[/C][C]45[/C][C]9[/C][C]0.104651[/C][C]0.872093[/C][C]0.010465[/C][/ROW]
[ROW][C][50,60[[/C][C]55[/C][C]5[/C][C]0.05814[/C][C]0.930233[/C][C]0.005814[/C][/ROW]
[ROW][C][60,70[[/C][C]65[/C][C]2[/C][C]0.023256[/C][C]0.953488[/C][C]0.002326[/C][/ROW]
[ROW][C][70,80[[/C][C]75[/C][C]2[/C][C]0.023256[/C][C]0.976744[/C][C]0.002326[/C][/ROW]
[ROW][C][80,90[[/C][C]85[/C][C]1[/C][C]0.011628[/C][C]0.988372[/C][C]0.001163[/C][/ROW]
[ROW][C][90,100[[/C][C]95[/C][C]0[/C][C]0[/C][C]0.988372[/C][C]0[/C][/ROW]
[ROW][C][100,110[[/C][C]105[/C][C]0[/C][C]0[/C][C]0.988372[/C][C]0[/C][/ROW]
[ROW][C][110,120[[/C][C]115[/C][C]0[/C][C]0[/C][C]0.988372[/C][C]0[/C][/ROW]
[ROW][C][120,130][/C][C]125[/C][C]1[/C][C]0.011628[/C][C]1[/C][C]0.001163[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265800&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265800&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
[-10,0[-520.0232560.0232560.002326
[0,10[540.0465120.0697670.004651
[10,20[15130.1511630.220930.015116
[20,30[25260.3023260.5232560.030233
[30,40[35210.2441860.7674420.024419
[40,50[4590.1046510.8720930.010465
[50,60[5550.058140.9302330.005814
[60,70[6520.0232560.9534880.002326
[70,80[7520.0232560.9767440.002326
[80,90[8510.0116280.9883720.001163
[90,100[95000.9883720
[100,110[105000.9883720
[110,120[115000.9883720
[120,130]12510.01162810.001163


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 16 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 16 ; 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('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')
}