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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationThu, 20 Dec 2012 06:05:41 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/20/t13560015559pw4grhuwg5qbzg.htm/, Retrieved Thu, 28 Mar 2024 15:50:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=202612, Retrieved Thu, 28 Mar 2024 15:50:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact130
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [histogram] [2012-12-20 11:05:41] [09a8c52255f1f9505addc8ea27636e79] [Current]
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Dataseries X:
59
34
49
50
34
15
107
9
28
41
46
66
48
37
72
50
90
64
66
38
56
60
96
43
37
49
48
63
62
35
62
59
47
72
24
82
28
60
90
2
47
30
27
74
75
41
49
42
31
32
101
22
51
77
42
47
7
91
18
28
61
68
95
29
65
71
57
87
66
49
58
55
48
40
52
52
33
51
20
54
47
40
77
68
51
38
42
33
96
40
54
22
34
36
31
80
67
41
57
51
39
61
68
45
51
64
74
24
86
63
65
40
12
43
46
56
65
61
28
26
37
17
35
28
62
23
28
28
68
6
12
42
17
28
37
88
6
58
6
9
13
37
25
68
51
22
36
27
11
42
76
48
30
91
70
98
44
27
24
64
98
23
33
90
36
57
46
39
32
69
83
54
48
71
29
38
55
26
62
38
21
23
4
50
76
2
13
5
37
26
42
27
22
16
39
33
20
18
28
20
21
14
38
30
25
12
22
50
37
34
26
34
15
23
16
15
17
16
18
22
21
29
27
19
9
38
20
18
17
21
9
23
24
14
18
16
44
13
20
11
26
39
14
14
20
24
28
24
24
10
42
28
5
28
24
9
9
25
17
11
8
21
10
15
14
23
18
16
33
21
29
20
12
29
17
19
15
5
24
23
22
25
25
11
18
14
16
17
20




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=202612&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=202612&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=202612&T=0

As an alternative you can also use a 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'Herman Ole Andreas Wold' @ wold.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,10[5170.0588240.0588240.005882
[10,20[15460.159170.2179930.015917
[20,30[25690.2387540.4567470.023875
[30,40[35390.1349480.5916960.013495
[40,50[45350.1211070.7128030.012111
[50,60[55260.0899650.8027680.008997
[60,70[65270.0934260.8961940.009343
[70,80[75120.0415220.9377160.004152
[80,90[8560.0207610.9584780.002076
[90,100[95100.0346020.993080.00346
[100,110]10520.0069210.000692

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,10[ & 5 & 17 & 0.058824 & 0.058824 & 0.005882 \tabularnewline
[10,20[ & 15 & 46 & 0.15917 & 0.217993 & 0.015917 \tabularnewline
[20,30[ & 25 & 69 & 0.238754 & 0.456747 & 0.023875 \tabularnewline
[30,40[ & 35 & 39 & 0.134948 & 0.591696 & 0.013495 \tabularnewline
[40,50[ & 45 & 35 & 0.121107 & 0.712803 & 0.012111 \tabularnewline
[50,60[ & 55 & 26 & 0.089965 & 0.802768 & 0.008997 \tabularnewline
[60,70[ & 65 & 27 & 0.093426 & 0.896194 & 0.009343 \tabularnewline
[70,80[ & 75 & 12 & 0.041522 & 0.937716 & 0.004152 \tabularnewline
[80,90[ & 85 & 6 & 0.020761 & 0.958478 & 0.002076 \tabularnewline
[90,100[ & 95 & 10 & 0.034602 & 0.99308 & 0.00346 \tabularnewline
[100,110] & 105 & 2 & 0.00692 & 1 & 0.000692 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=202612&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]17[/C][C]0.058824[/C][C]0.058824[/C][C]0.005882[/C][/ROW]
[ROW][C][10,20[[/C][C]15[/C][C]46[/C][C]0.15917[/C][C]0.217993[/C][C]0.015917[/C][/ROW]
[ROW][C][20,30[[/C][C]25[/C][C]69[/C][C]0.238754[/C][C]0.456747[/C][C]0.023875[/C][/ROW]
[ROW][C][30,40[[/C][C]35[/C][C]39[/C][C]0.134948[/C][C]0.591696[/C][C]0.013495[/C][/ROW]
[ROW][C][40,50[[/C][C]45[/C][C]35[/C][C]0.121107[/C][C]0.712803[/C][C]0.012111[/C][/ROW]
[ROW][C][50,60[[/C][C]55[/C][C]26[/C][C]0.089965[/C][C]0.802768[/C][C]0.008997[/C][/ROW]
[ROW][C][60,70[[/C][C]65[/C][C]27[/C][C]0.093426[/C][C]0.896194[/C][C]0.009343[/C][/ROW]
[ROW][C][70,80[[/C][C]75[/C][C]12[/C][C]0.041522[/C][C]0.937716[/C][C]0.004152[/C][/ROW]
[ROW][C][80,90[[/C][C]85[/C][C]6[/C][C]0.020761[/C][C]0.958478[/C][C]0.002076[/C][/ROW]
[ROW][C][90,100[[/C][C]95[/C][C]10[/C][C]0.034602[/C][C]0.99308[/C][C]0.00346[/C][/ROW]
[ROW][C][100,110][/C][C]105[/C][C]2[/C][C]0.00692[/C][C]1[/C][C]0.000692[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=202612&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=202612&T=1

As an alternative you can also use a QR Code:  

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

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,10[5170.0588240.0588240.005882
[10,20[15460.159170.2179930.015917
[20,30[25690.2387540.4567470.023875
[30,40[35390.1349480.5916960.013495
[40,50[45350.1211070.7128030.012111
[50,60[55260.0899650.8027680.008997
[60,70[65270.0934260.8961940.009343
[70,80[75120.0415220.9377160.004152
[80,90[8560.0207610.9584780.002076
[90,100[95100.0346020.993080.00346
[100,110]10520.0069210.000692



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')
}