Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 17 Dec 2012 13:28:05 -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/17/t1355768974e0nds6ca9vuw880.htm/, Retrieved Thu, 28 Mar 2024 18:35:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=201108, Retrieved Thu, 28 Mar 2024 18:35:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact91
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [paper deel 1 Hist...] [2012-12-15 22:04:15] [48f852fd41a4fa7d41d1802199989991]
- R P   [Histogram] [paper deel 1 Hist...] [2012-12-16 13:33:16] [48f852fd41a4fa7d41d1802199989991]
- R PD      [Histogram] [paper deel 1 Hist...] [2012-12-17 18:28:05] [951f0bbf00246852608bf7fcd40f4937] [Current]
Feedback Forum

Post a new message
Dataseries X:
56
56
54
89
40
25
92
18
63
44
33
84
88
55
60
66
154
53
119
41
61
58
75
33
40
92
100
112
73
40
45
60
62
75
31
77
34
46
99
17
66
30
76
146
67
56
107
58
34
61
119
42
66
89
44
66
24
259
17
64
41
68
168
43
132
105
71
112
94
82
70
57
53
103
121
62
52
52
32
62
45
46
63
75
88
46
53
37
90
63
78
25
45
46
41
144
82
91
71
63
53
62
63
32
39
62
117
34
92
93
54
144
14
61
109
38
73
75
50
61
55
77
75
72
50
32
53
42
71
10
35
65
25
66
41
86
16
42
19
19
45
65
35
95
49
37
64
38
34
32
65
52
62
65
83
95
29
18
33
247
139
29
118
110
67
42
65
94
64
81
95
67
63
83
45
30
70
32
83
31
67
66
10
70
103
5
20
5
36
34
48
40
43
31
42
46
33
18
55
35
59
19
66
60
36
25
47
54
53
40
40
39
14
45
36
28
44
30
22
17
31
55
54
21
14
81
35
43
46
30
23
38
54
20
53
45
39
20
24
31
35
151
52
30
31
29
57
40
44
25
77
35
11
63
44
19
13
42
38
29
20
27
20
19
37
26
42
49
30
49
67
28
19
49
27
30
22
12
31
20
20
39
29
16
27
21
19
35
14




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 2 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201108&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201108&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201108&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 time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,50[251500.5190310.5190310.010381
[50,100[751150.3979240.9169550.007958
[100,150[125190.0657440.9826990.001315
[150,200[17530.0103810.993080.000208
[200,250[22510.003460.996546.9e-05
[250,300]27510.0034616.9e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,50[ & 25 & 150 & 0.519031 & 0.519031 & 0.010381 \tabularnewline
[50,100[ & 75 & 115 & 0.397924 & 0.916955 & 0.007958 \tabularnewline
[100,150[ & 125 & 19 & 0.065744 & 0.982699 & 0.001315 \tabularnewline
[150,200[ & 175 & 3 & 0.010381 & 0.99308 & 0.000208 \tabularnewline
[200,250[ & 225 & 1 & 0.00346 & 0.99654 & 6.9e-05 \tabularnewline
[250,300] & 275 & 1 & 0.00346 & 1 & 6.9e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201108&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][0,50[[/C][C]25[/C][C]150[/C][C]0.519031[/C][C]0.519031[/C][C]0.010381[/C][/ROW]
[ROW][C][50,100[[/C][C]75[/C][C]115[/C][C]0.397924[/C][C]0.916955[/C][C]0.007958[/C][/ROW]
[ROW][C][100,150[[/C][C]125[/C][C]19[/C][C]0.065744[/C][C]0.982699[/C][C]0.001315[/C][/ROW]
[ROW][C][150,200[[/C][C]175[/C][C]3[/C][C]0.010381[/C][C]0.99308[/C][C]0.000208[/C][/ROW]
[ROW][C][200,250[[/C][C]225[/C][C]1[/C][C]0.00346[/C][C]0.99654[/C][C]6.9e-05[/C][/ROW]
[ROW][C][250,300][/C][C]275[/C][C]1[/C][C]0.00346[/C][C]1[/C][C]6.9e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201108&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201108&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
[0,50[251500.5190310.5190310.010381
[50,100[751150.3979240.9169550.007958
[100,150[125190.0657440.9826990.001315
[150,200[17530.0103810.993080.000208
[200,250[22510.003460.996546.9e-05
[250,300]27510.0034616.9e-05



Parameters (Session):
par1 = 5 ; par2 = red ; par3 = TRUE ; par4 = Interval/Ratio ;
Parameters (R input):
par1 = 5 ; par2 = red ; par3 = TRUE ; par4 = Interval/Ratio ;
R code (references can be found in the software module):
par4 <- 'Interval/Ratio'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- '5'
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')
}