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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 computationWed, 01 Oct 2014 00:02:44 +0100
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/Oct/01/t1412118190piizai9pjjux4ra.htm/, Retrieved Sun, 12 May 2024 15:43:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=237095, Retrieved Sun, 12 May 2024 15:43:31 +0000
QR Codes:

Original text written by user:r Scotch Review Histogram
IsPrivate?No (this computation is public)
User-defined keywordsr Scotch Review Histogram
Estimated Impact579

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [r Scotch Review H...] [2014-09-30 23:02:44] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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40
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85
85
80
82
83
75
80
81
80
82
82
84
84
67
82
82
79
69
73
60
81
71
82
67
88
80
85
84
89
80
85
75
76
83
82
90
83
64
85
90
83
85
86
80
82
83
65
86
91
90
88
80
71
85
86
83
79
86

86
88
85
80
86
90
76
86
84
84
80
81
67
70
72
83
91
87
84
81
83
85
86
85
88
91
90
82
79
86
93
87
93
84
89
85
88
86
91
91
88
84
88
87
92
90
95
84
86

98
94
89
96
85
91
83
92
93
90
90
80
92
86
90
81
95
96
94
92
70
86
87
87
90
95
91
93
88
97
84
85
94
81
97
72
87
65
70
72
88
80
77
91
66
76
68
70
68

90
86
81
86
81
86
70
86
93
95
94
95
93
96
94
87
80
94
94
93
90
89
88
93
87
94
70
90
93
92
97
93
95
89
94
89
95
92
91
90
93
91
90
92
93
91
94
90

90
94
97
92
88
93
85
95
92
90
80
91
85
95
87
85
80
92
92
75
83
85
85
87
77
83
75
77
79
75
77
83
86
94
80
83
85
82
88
80
85
84
88
87
83
82
66
90
88
79
87
45
89
89
70
70
83
79
79
74
90
90
84
88
90
94
83
90
76
45
30
69
77
72
40
40
75
75
34
84
70
78
73
78
65
75
79
39
66
82
75
75
86
78
80
40
78
77
97
87
86
79
61
70
87
76
80
71
55
81
79
90
77
72
86
62
84
85
83
90
60
84
78
76
60
91
81
80
84
86
82
92
85
84
1
90
95
92
92
90
82
84
86
81
85
96
89
80
55
86
85
84
93
90
86

86
79
78
75
91
86
88
85

85
70
73
80
84
86
83
90
93
55
71
85
86
82
87
87
84
80
82
88
86
76
80
78
80
84
84
87
90
87
89
90
82
89
72
86
84
89
92
84
86
75
80
82
81
78
89
85
82
83
73
77
85
85
85
93
91
89
87
84
85
73
74
90
92
87
83
87
90
83
86
87
74
86
90
91
85
87
86
87
88
88
75
80
80
82
90
86
82
75
85
84
83
81
83
83
83
83
83
83
87
86
70
81
82
81
85
77
82
82
84
82
89
68
93
87
76
92
90
91
94

93
83
92
98
91
95
90
90
90
90
91
83
91
85
90
91
94
86
85
84
85
81
60
75
69
70
60
71
81
89
68
70
65
5
30
30
85
83
85
89
87
81
89
77
70
80
78
60
63
81
60
81
76
83
83
92
88
87

84
83
83
87
94
84
90
97
89
78
94
88
96
94
88
97
93
86
89
85
85

90
90
96
89
94
88
93
85
72
75
25
66
89
94
88
88
86
88
92
92
70
72
68
52
86
29
88
89
80
85
88
91
90
83

82
70
85
88
72
61
77
75
82
80
80
83

93
85
87
91
85
79
72
86
84
84
79
80
78
87
82
10
36
47
17
86
90
87
86
85
85
82
65
85
94
90
78
71
70
77
84
72
75
84
89
51
75
80
87
60
82
82
78
86
63
78
70
78
80
60
75
70
81
35
86
88
74
91
86
89
85
90


35
74
55
64
95

80
82
83
80
70
79
67

70
80
81
75
81
83
86
50
55
72
24
74
72
80
81
85
86
90
82
88
81
87
87
86
88
86
85
86
89
86
88
90
85
84
91
93
60
70
65
84
85
84
88
88
92
94
93
93
85
90
80
90
90
88
85
90
88
87
93
84
94
85
94
91
95
91
92
85
90
88
87
85
90
88
97
95
46

87
89
85
85
70
82
85
90
86
86
89
84
91
85
86
91
89
83
89
89
91
90
70
90
91
91
89
85
92

80
85
93
75
88
95
84
85
80
82
88
82
78

84
87
90
71
70
72
88
80
80
87
91
80
77
75
86
79
74

94
95
86
79
88
90
79
82
80
60
93
87
81
73
77
94


93
44
80
88
88
89
85
91
87
95
88
90
89
92


90
92
92
92
89
88
91
90
87
90
90
91
85
90
84
88
87
82
85
93
90
92
80
83
85
87
90
90
93
89
85
91
85
89
90
81
91
89
77
85
94
90
85
90
85
88
84
87
87
86
90
88
85
88
84
92
93
89
91
85
92
91
94

93
90
88
86
89
88
96
75
93
91
93
90
92
94

93
87

89
93
96

87
92
93
93
92
83
77
69
80
87
88
88
86
86
84
80
84
92
90
94
82
84
87
90
90
92
87
94
85
88
99
89
80
86
83
94
89
88
53
73

94
68
89
89
92
92
92
89
80
92
86
89
85
77
85
85
86
85
75
85
86
78
83
81
85
87
89
83
91
40
70
84
81
97
87
68
70
78
86
86
96
96
93
89
95
84
85
79
83
84
84
80
85
90
85
79
71
85

85
75
82
76
82
85
77
76
86
82
83
65
85
55
81
35
84
86
85
82
88
89
81
91
75
80
80
65
82
67
90
75
86
91
90
93
89
96
76
77
90
89
80
93
93
80
75
80
82
74
81
73
81
74
65
83
75
72
82
86
73
75
73
71
68
83
78
67
75
88
71
70
79
75
83
76
87
72
82
82
87
84
85
85
90
80
85
87
82
82
85
76
84
92
85
87
86
66
83
78
85
90
79
55
68
73
84
95
90
90
87
70
83
86
85
69
70
68
90
82
79

80
79
81
76
74
89
88
87
91
78
60
81
87
88
72
86
70
80
82
71
91
60
60
72
71
89
80
75
70
80
84
82
62
83
45
74
83
82
60
74
84
83
82
83
80
79
78
87
86
84
52
68
84
50
90
77
73
83
83
89
80
86
90
65
75
86
81
67
85
93
90
85
65
40

80
84
85
75
52
50
70
87
71
85
45
77
80
72
83
82
87
83
87
75
85
76
82
82
87
68
85
75
78
84
90

91
87
94
90
86
89
93
92
84
88
92
90
82
69
93
91
84
93
80
93
89
93
92
73
95
85
86
87
84
88
92
85

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time10 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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 & 10 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=237095&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]10 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=237095&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=237095&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 time10 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,10[570.0010580.0010580.000106
[10,20[1560.0009060.0019649.1e-05
[20,30[25130.0019640.0039280.000196
[30,40[35240.0036260.0075540.000363
[40,50[45410.0061940.0137480.000619
[50,60[55730.0110290.0247770.001103
[60,70[652540.0383740.0631520.003837
[70,80[7510060.1519870.2151380.015199
[80,90[8533580.5073270.7224660.050733
[90,100]9518370.27753410.027753

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,10[ & 5 & 7 & 0.001058 & 0.001058 & 0.000106 \tabularnewline
[10,20[ & 15 & 6 & 0.000906 & 0.001964 & 9.1e-05 \tabularnewline
[20,30[ & 25 & 13 & 0.001964 & 0.003928 & 0.000196 \tabularnewline
[30,40[ & 35 & 24 & 0.003626 & 0.007554 & 0.000363 \tabularnewline
[40,50[ & 45 & 41 & 0.006194 & 0.013748 & 0.000619 \tabularnewline
[50,60[ & 55 & 73 & 0.011029 & 0.024777 & 0.001103 \tabularnewline
[60,70[ & 65 & 254 & 0.038374 & 0.063152 & 0.003837 \tabularnewline
[70,80[ & 75 & 1006 & 0.151987 & 0.215138 & 0.015199 \tabularnewline
[80,90[ & 85 & 3358 & 0.507327 & 0.722466 & 0.050733 \tabularnewline
[90,100] & 95 & 1837 & 0.277534 & 1 & 0.027753 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=237095&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][0,10[[/C][C]5[/C][C]7[/C][C]0.001058[/C][C]0.001058[/C][C]0.000106[/C][/ROW]
[ROW][C][10,20[[/C][C]15[/C][C]6[/C][C]0.000906[/C][C]0.001964[/C][C]9.1e-05[/C][/ROW]
[ROW][C][20,30[[/C][C]25[/C][C]13[/C][C]0.001964[/C][C]0.003928[/C][C]0.000196[/C][/ROW]
[ROW][C][30,40[[/C][C]35[/C][C]24[/C][C]0.003626[/C][C]0.007554[/C][C]0.000363[/C][/ROW]
[ROW][C][40,50[[/C][C]45[/C][C]41[/C][C]0.006194[/C][C]0.013748[/C][C]0.000619[/C][/ROW]
[ROW][C][50,60[[/C][C]55[/C][C]73[/C][C]0.011029[/C][C]0.024777[/C][C]0.001103[/C][/ROW]
[ROW][C][60,70[[/C][C]65[/C][C]254[/C][C]0.038374[/C][C]0.063152[/C][C]0.003837[/C][/ROW]
[ROW][C][70,80[[/C][C]75[/C][C]1006[/C][C]0.151987[/C][C]0.215138[/C][C]0.015199[/C][/ROW]
[ROW][C][80,90[[/C][C]85[/C][C]3358[/C][C]0.507327[/C][C]0.722466[/C][C]0.050733[/C][/ROW]
[ROW][C][90,100][/C][C]95[/C][C]1837[/C][C]0.277534[/C][C]1[/C][C]0.027753[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=237095&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=237095&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
[0,10[570.0010580.0010580.000106
[10,20[1560.0009060.0019649.1e-05
[20,30[25130.0019640.0039280.000196
[30,40[35240.0036260.0075540.000363
[40,50[45410.0061940.0137480.000619
[50,60[55730.0110290.0247770.001103
[60,70[652540.0383740.0631520.003837
[70,80[7510060.1519870.2151380.015199
[80,90[8533580.5073270.7224660.050733
[90,100]9518370.27753410.027753


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 10 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 10 ; 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')
}