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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 11:46:45 +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/t1418298419eh04n4ehpdep50w.htm/, Retrieved Thu, 16 May 2024 12:07:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=265789, Retrieved Thu, 16 May 2024 12:07:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact73

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 11:46:45] [d9810f96fa2f1581f787e7f797109997] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
48
50
150
154
194
158
159
67
147
39
100
111
138
101
101
114
165
114
111
75
82
121
32
150
117
165
154
126
138
149
145
120
138
109
132
172
169
114
156
172
167
113
173
2
165
165
118
158
49
155
151
220
141
122
44
152
107
154
103
154
175
143
110
131
167
137
121
149
168
140
168
94
51
145
66
109
128
164
119
126
132
142
83
166
93
117

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265789&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]0 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=265789&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265789&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 time0 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,20[1010.0116280.0116280.000581
[20,40[3020.0232560.0348840.001163
[40,60[5050.058140.0930230.002907
[60,80[7030.0348840.1279070.001744
[80,100[9040.0465120.1744190.002326
[100,120[110180.2093020.3837210.010465
[120,140[130140.1627910.5465120.00814
[140,160[150220.2558140.8023260.012791
[160,180[170150.1744190.9767440.008721
[180,200[19010.0116280.9883720.000581
[200,220]21010.01162810.000581

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,20[ & 10 & 1 & 0.011628 & 0.011628 & 0.000581 \tabularnewline
[20,40[ & 30 & 2 & 0.023256 & 0.034884 & 0.001163 \tabularnewline
[40,60[ & 50 & 5 & 0.05814 & 0.093023 & 0.002907 \tabularnewline
[60,80[ & 70 & 3 & 0.034884 & 0.127907 & 0.001744 \tabularnewline
[80,100[ & 90 & 4 & 0.046512 & 0.174419 & 0.002326 \tabularnewline
[100,120[ & 110 & 18 & 0.209302 & 0.383721 & 0.010465 \tabularnewline
[120,140[ & 130 & 14 & 0.162791 & 0.546512 & 0.00814 \tabularnewline
[140,160[ & 150 & 22 & 0.255814 & 0.802326 & 0.012791 \tabularnewline
[160,180[ & 170 & 15 & 0.174419 & 0.976744 & 0.008721 \tabularnewline
[180,200[ & 190 & 1 & 0.011628 & 0.988372 & 0.000581 \tabularnewline
[200,220] & 210 & 1 & 0.011628 & 1 & 0.000581 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265789&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][0,20[[/C][C]10[/C][C]1[/C][C]0.011628[/C][C]0.011628[/C][C]0.000581[/C][/ROW]
[ROW][C][20,40[[/C][C]30[/C][C]2[/C][C]0.023256[/C][C]0.034884[/C][C]0.001163[/C][/ROW]
[ROW][C][40,60[[/C][C]50[/C][C]5[/C][C]0.05814[/C][C]0.093023[/C][C]0.002907[/C][/ROW]
[ROW][C][60,80[[/C][C]70[/C][C]3[/C][C]0.034884[/C][C]0.127907[/C][C]0.001744[/C][/ROW]
[ROW][C][80,100[[/C][C]90[/C][C]4[/C][C]0.046512[/C][C]0.174419[/C][C]0.002326[/C][/ROW]
[ROW][C][100,120[[/C][C]110[/C][C]18[/C][C]0.209302[/C][C]0.383721[/C][C]0.010465[/C][/ROW]
[ROW][C][120,140[[/C][C]130[/C][C]14[/C][C]0.162791[/C][C]0.546512[/C][C]0.00814[/C][/ROW]
[ROW][C][140,160[[/C][C]150[/C][C]22[/C][C]0.255814[/C][C]0.802326[/C][C]0.012791[/C][/ROW]
[ROW][C][160,180[[/C][C]170[/C][C]15[/C][C]0.174419[/C][C]0.976744[/C][C]0.008721[/C][/ROW]
[ROW][C][180,200[[/C][C]190[/C][C]1[/C][C]0.011628[/C][C]0.988372[/C][C]0.000581[/C][/ROW]
[ROW][C][200,220][/C][C]210[/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=265789&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265789&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
[0,20[1010.0116280.0116280.000581
[20,40[3020.0232560.0348840.001163
[40,60[5050.058140.0930230.002907
[60,80[7030.0348840.1279070.001744
[80,100[9040.0465120.1744190.002326
[100,120[110180.2093020.3837210.010465
[120,140[130140.1627910.5465120.00814
[140,160[150220.2558140.8023260.012791
[160,180[170150.1744190.9767440.008721
[180,200[19010.0116280.9883720.000581
[200,220]21010.01162810.000581


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')
}