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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 11:53:27 +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/t1418298887t4nkffnrpi3vc1i.htm/, Retrieved Sun, 19 May 2024 18:46:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=265794, Retrieved Sun, 19 May 2024 18:46:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact70

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] [d9810f96fa2f1581f787e7f797109997] [Current]
- R P     [Histogram] [] [2014-12-11 11:56:48] [4c4ebb0b36a379d1d949ba77427e658a]
-   PD    [Histogram] [] [2014-12-11 12:03:38] [4c4ebb0b36a379d1d949ba77427e658a]
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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=265794&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=265794&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265794&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
[-20,0[-1020.0232560.0232560.001163
[0,20[10170.1976740.220930.009884
[20,40[30470.5465120.7674420.027326
[40,60[50140.1627910.9302330.00814
[60,80[7040.0465120.9767440.002326
[80,100[9010.0116280.9883720.000581
[100,120[110000.9883720
[120,140]13010.01162810.000581

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-20,0[ & -10 & 2 & 0.023256 & 0.023256 & 0.001163 \tabularnewline
[0,20[ & 10 & 17 & 0.197674 & 0.22093 & 0.009884 \tabularnewline
[20,40[ & 30 & 47 & 0.546512 & 0.767442 & 0.027326 \tabularnewline
[40,60[ & 50 & 14 & 0.162791 & 0.930233 & 0.00814 \tabularnewline
[60,80[ & 70 & 4 & 0.046512 & 0.976744 & 0.002326 \tabularnewline
[80,100[ & 90 & 1 & 0.011628 & 0.988372 & 0.000581 \tabularnewline
[100,120[ & 110 & 0 & 0 & 0.988372 & 0 \tabularnewline
[120,140] & 130 & 1 & 0.011628 & 1 & 0.000581 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265794&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][-20,0[[/C][C]-10[/C][C]2[/C][C]0.023256[/C][C]0.023256[/C][C]0.001163[/C][/ROW]
[ROW][C][0,20[[/C][C]10[/C][C]17[/C][C]0.197674[/C][C]0.22093[/C][C]0.009884[/C][/ROW]
[ROW][C][20,40[[/C][C]30[/C][C]47[/C][C]0.546512[/C][C]0.767442[/C][C]0.027326[/C][/ROW]
[ROW][C][40,60[[/C][C]50[/C][C]14[/C][C]0.162791[/C][C]0.930233[/C][C]0.00814[/C][/ROW]
[ROW][C][60,80[[/C][C]70[/C][C]4[/C][C]0.046512[/C][C]0.976744[/C][C]0.002326[/C][/ROW]
[ROW][C][80,100[[/C][C]90[/C][C]1[/C][C]0.011628[/C][C]0.988372[/C][C]0.000581[/C][/ROW]
[ROW][C][100,120[[/C][C]110[/C][C]0[/C][C]0[/C][C]0.988372[/C][C]0[/C][/ROW]
[ROW][C][120,140][/C][C]130[/C][C]1[/C][C]0.011628[/C][C]1[/C][C]0.000581[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265794&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265794&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
[-20,0[-1020.0232560.0232560.001163
[0,20[10170.1976740.220930.009884
[20,40[30470.5465120.7674420.027326
[40,60[50140.1627910.9302330.00814
[60,80[7040.0465120.9767440.002326
[80,100[9010.0116280.9883720.000581
[100,120[110000.9883720
[120,140]13010.01162810.000581


Figures (Output of Computation)

Input Parameters & R Code

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