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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, 18 Dec 2014 17:27:41 +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/18/t1418923704c6kj24cs2u5ynyb.htm/, Retrieved Fri, 17 May 2024 17:09:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=271163, Retrieved Fri, 17 May 2024 17:09:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact77

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bootstrap Plot - Central Tendency] [bootstrap plot] [2014-12-15 10:33:55] [7b9119a46b6eb1a22eecca7bc054a6e2]
- RMPD    [Histogram] [] [2014-12-18 17:27:41] [88f8137dd67cdcd531568536dca46410] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
91
137
92
148
131
59
128
90
83
116
42
155
96
49
104
76
66
74
99
96
108
97
116
106
80
74
114
87
140
127
74
91
98
126
98
95
133
110
70
95
86
130
96
99
68
121
131
71
102
68
89
87
49
96
100
141
102
110
100
146
147
94
52
61
98
60
118
109
68
109
115
78
118
73
162
122
65
100
82
52
115
90
121
101
104
42
96
110
108
113
57
86
88
115
85
111
102
86
114
94
64
77
105
49
95
89
78
110
117
63
131
102
63
117
57
73
77
105
31
112
49
56
48
63
162
81
110
104
88
99
76
109
120
91
108
119

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271163&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271163&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271163&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'George Udny Yule' @ yule.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[20,40[3010.0073530.0073530.000368
[40,60[50130.0955880.1029410.004779
[60,80[70240.1764710.2794120.008824
[80,100[90370.2720590.5514710.013603
[100,120[110400.2941180.8455880.014706
[120,140[130130.0955880.9411760.004779
[140,160[15060.0441180.9852940.002206
[160,180]17020.01470610.000735

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[20,40[ & 30 & 1 & 0.007353 & 0.007353 & 0.000368 \tabularnewline
[40,60[ & 50 & 13 & 0.095588 & 0.102941 & 0.004779 \tabularnewline
[60,80[ & 70 & 24 & 0.176471 & 0.279412 & 0.008824 \tabularnewline
[80,100[ & 90 & 37 & 0.272059 & 0.551471 & 0.013603 \tabularnewline
[100,120[ & 110 & 40 & 0.294118 & 0.845588 & 0.014706 \tabularnewline
[120,140[ & 130 & 13 & 0.095588 & 0.941176 & 0.004779 \tabularnewline
[140,160[ & 150 & 6 & 0.044118 & 0.985294 & 0.002206 \tabularnewline
[160,180] & 170 & 2 & 0.014706 & 1 & 0.000735 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271163&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][20,40[[/C][C]30[/C][C]1[/C][C]0.007353[/C][C]0.007353[/C][C]0.000368[/C][/ROW]
[ROW][C][40,60[[/C][C]50[/C][C]13[/C][C]0.095588[/C][C]0.102941[/C][C]0.004779[/C][/ROW]
[ROW][C][60,80[[/C][C]70[/C][C]24[/C][C]0.176471[/C][C]0.279412[/C][C]0.008824[/C][/ROW]
[ROW][C][80,100[[/C][C]90[/C][C]37[/C][C]0.272059[/C][C]0.551471[/C][C]0.013603[/C][/ROW]
[ROW][C][100,120[[/C][C]110[/C][C]40[/C][C]0.294118[/C][C]0.845588[/C][C]0.014706[/C][/ROW]
[ROW][C][120,140[[/C][C]130[/C][C]13[/C][C]0.095588[/C][C]0.941176[/C][C]0.004779[/C][/ROW]
[ROW][C][140,160[[/C][C]150[/C][C]6[/C][C]0.044118[/C][C]0.985294[/C][C]0.002206[/C][/ROW]
[ROW][C][160,180][/C][C]170[/C][C]2[/C][C]0.014706[/C][C]1[/C][C]0.000735[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271163&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271163&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
[20,40[3010.0073530.0073530.000368
[40,60[50130.0955880.1029410.004779
[60,80[70240.1764710.2794120.008824
[80,100[90370.2720590.5514710.013603
[100,120[110400.2941180.8455880.014706
[120,140[130130.0955880.9411760.004779
[140,160[15060.0441180.9852940.002206
[160,180]17020.01470610.000735


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0 ; par2 = 0 ;
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')
}