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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 computationSat, 27 Sep 2014 15:17:05 +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/Sep/27/t14118274473f01599utqg0ezf.htm/, Retrieved Fri, 10 May 2024 02:15:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=236545, Retrieved Fri, 10 May 2024 02:15:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact128

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2014-09-17 21:00:39] [d070f624b5ef19e5cef5f62d76e90bf1]
- R P   [Univariate Data Series] [] [2014-09-17 21:22:55] [d070f624b5ef19e5cef5f62d76e90bf1]
- RMP       [Histogram] [] [2014-09-27 14:17:05] [959220cfe8d8b51f3b8cc01ba011fecd] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
123
146
156
127
128
147
128
139
130
118
147
98
141
138
130
145
123
116
90
110
102
109
111
93
120
81
84
87
110
90
108
101
87
118
82
86
103
93
83
91
69
95
96
105
121
101
111
130
134
161
186
244
145
170
164
124
154
126
173
140
142
129
171
107
98
185
142
135
126
126
134
119
134
133
129
96
150
113
99
164
127
148
166
115
199
141
149
131
171
178
181
129
112
186
153
116
190
169
165
160
202
155
257
171
168
202
189
132

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'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236545&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236545&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236545&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[60,80[7010.0092590.0092590.000463
[80,100[90180.1666670.1759260.008333
[100,120[110200.1851850.3611110.009259
[120,140[130270.250.6111110.0125
[140,160[150170.1574070.7685190.00787
[160,180[170140.129630.8981480.006481
[180,200[19070.0648150.9629630.003241
[200,220[21020.0185190.9814810.000926
[220,240[230000.9814810
[240,260]25020.01851910.000926

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[60,80[ & 70 & 1 & 0.009259 & 0.009259 & 0.000463 \tabularnewline
[80,100[ & 90 & 18 & 0.166667 & 0.175926 & 0.008333 \tabularnewline
[100,120[ & 110 & 20 & 0.185185 & 0.361111 & 0.009259 \tabularnewline
[120,140[ & 130 & 27 & 0.25 & 0.611111 & 0.0125 \tabularnewline
[140,160[ & 150 & 17 & 0.157407 & 0.768519 & 0.00787 \tabularnewline
[160,180[ & 170 & 14 & 0.12963 & 0.898148 & 0.006481 \tabularnewline
[180,200[ & 190 & 7 & 0.064815 & 0.962963 & 0.003241 \tabularnewline
[200,220[ & 210 & 2 & 0.018519 & 0.981481 & 0.000926 \tabularnewline
[220,240[ & 230 & 0 & 0 & 0.981481 & 0 \tabularnewline
[240,260] & 250 & 2 & 0.018519 & 1 & 0.000926 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236545&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][60,80[[/C][C]70[/C][C]1[/C][C]0.009259[/C][C]0.009259[/C][C]0.000463[/C][/ROW]
[ROW][C][80,100[[/C][C]90[/C][C]18[/C][C]0.166667[/C][C]0.175926[/C][C]0.008333[/C][/ROW]
[ROW][C][100,120[[/C][C]110[/C][C]20[/C][C]0.185185[/C][C]0.361111[/C][C]0.009259[/C][/ROW]
[ROW][C][120,140[[/C][C]130[/C][C]27[/C][C]0.25[/C][C]0.611111[/C][C]0.0125[/C][/ROW]
[ROW][C][140,160[[/C][C]150[/C][C]17[/C][C]0.157407[/C][C]0.768519[/C][C]0.00787[/C][/ROW]
[ROW][C][160,180[[/C][C]170[/C][C]14[/C][C]0.12963[/C][C]0.898148[/C][C]0.006481[/C][/ROW]
[ROW][C][180,200[[/C][C]190[/C][C]7[/C][C]0.064815[/C][C]0.962963[/C][C]0.003241[/C][/ROW]
[ROW][C][200,220[[/C][C]210[/C][C]2[/C][C]0.018519[/C][C]0.981481[/C][C]0.000926[/C][/ROW]
[ROW][C][220,240[[/C][C]230[/C][C]0[/C][C]0[/C][C]0.981481[/C][C]0[/C][/ROW]
[ROW][C][240,260][/C][C]250[/C][C]2[/C][C]0.018519[/C][C]1[/C][C]0.000926[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236545&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236545&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
[60,80[7010.0092590.0092590.000463
[80,100[90180.1666670.1759260.008333
[100,120[110200.1851850.3611110.009259
[120,140[130270.250.6111110.0125
[140,160[150170.1574070.7685190.00787
[160,180[170140.129630.8981480.006481
[180,200[19070.0648150.9629630.003241
[200,220[21020.0185190.9814810.000926
[220,240[230000.9814810
[240,260]25020.01851910.000926


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):
par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- ''
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')
}