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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 12:49:45 +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/18/t1418906992war8tp2f6lfrfhl.htm/, Retrieved Fri, 17 May 2024 18:17:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=270871, Retrieved Fri, 17 May 2024 18:17:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact66

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2014-12-18 12:49:45] [58179e1d3a5a39b9daf58e365d8a3352] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
149
148
158
128
224
159
105
159
167
165
159
176
54
91
163
124
121
148
221
149
244
148
150
153
94
156
132
105
151
131
157
162
163
59
187
116
148
155
125
116
138
164
162
99
186
188
177
139
162
108
159
110
96
87
97
127
74
114
95
121
130
52
118

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 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 & 1 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270871&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 Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270871&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270871&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 Maurice George Kendall' @ kendall.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[40,60[5030.0476190.0476190.002381
[60,80[7010.0158730.0634920.000794
[80,100[9070.1111110.1746030.005556
[100,120[11080.1269840.3015870.006349
[120,140[130110.1746030.476190.00873
[140,160[150170.2698410.7460320.013492
[160,180[170100.158730.9047620.007937
[180,200[19030.0476190.9523810.002381
[200,220[210000.9523810
[220,240[23020.0317460.9841270.001587
[240,260]25010.01587310.000794

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[40,60[ & 50 & 3 & 0.047619 & 0.047619 & 0.002381 \tabularnewline
[60,80[ & 70 & 1 & 0.015873 & 0.063492 & 0.000794 \tabularnewline
[80,100[ & 90 & 7 & 0.111111 & 0.174603 & 0.005556 \tabularnewline
[100,120[ & 110 & 8 & 0.126984 & 0.301587 & 0.006349 \tabularnewline
[120,140[ & 130 & 11 & 0.174603 & 0.47619 & 0.00873 \tabularnewline
[140,160[ & 150 & 17 & 0.269841 & 0.746032 & 0.013492 \tabularnewline
[160,180[ & 170 & 10 & 0.15873 & 0.904762 & 0.007937 \tabularnewline
[180,200[ & 190 & 3 & 0.047619 & 0.952381 & 0.002381 \tabularnewline
[200,220[ & 210 & 0 & 0 & 0.952381 & 0 \tabularnewline
[220,240[ & 230 & 2 & 0.031746 & 0.984127 & 0.001587 \tabularnewline
[240,260] & 250 & 1 & 0.015873 & 1 & 0.000794 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270871&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][40,60[[/C][C]50[/C][C]3[/C][C]0.047619[/C][C]0.047619[/C][C]0.002381[/C][/ROW]
[ROW][C][60,80[[/C][C]70[/C][C]1[/C][C]0.015873[/C][C]0.063492[/C][C]0.000794[/C][/ROW]
[ROW][C][80,100[[/C][C]90[/C][C]7[/C][C]0.111111[/C][C]0.174603[/C][C]0.005556[/C][/ROW]
[ROW][C][100,120[[/C][C]110[/C][C]8[/C][C]0.126984[/C][C]0.301587[/C][C]0.006349[/C][/ROW]
[ROW][C][120,140[[/C][C]130[/C][C]11[/C][C]0.174603[/C][C]0.47619[/C][C]0.00873[/C][/ROW]
[ROW][C][140,160[[/C][C]150[/C][C]17[/C][C]0.269841[/C][C]0.746032[/C][C]0.013492[/C][/ROW]
[ROW][C][160,180[[/C][C]170[/C][C]10[/C][C]0.15873[/C][C]0.904762[/C][C]0.007937[/C][/ROW]
[ROW][C][180,200[[/C][C]190[/C][C]3[/C][C]0.047619[/C][C]0.952381[/C][C]0.002381[/C][/ROW]
[ROW][C][200,220[[/C][C]210[/C][C]0[/C][C]0[/C][C]0.952381[/C][C]0[/C][/ROW]
[ROW][C][220,240[[/C][C]230[/C][C]2[/C][C]0.031746[/C][C]0.984127[/C][C]0.001587[/C][/ROW]
[ROW][C][240,260][/C][C]250[/C][C]1[/C][C]0.015873[/C][C]1[/C][C]0.000794[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270871&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270871&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
[40,60[5030.0476190.0476190.002381
[60,80[7010.0158730.0634920.000794
[80,100[9070.1111110.1746030.005556
[100,120[11080.1269840.3015870.006349
[120,140[130110.1746030.476190.00873
[140,160[150170.2698410.7460320.013492
[160,180[170100.158730.9047620.007937
[180,200[19030.0476190.9523810.002381
[200,220[210000.9523810
[220,240[23020.0317460.9841270.001587
[240,260]25010.01587310.000794


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')
}