Free Statistics

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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationTue, 11 Dec 2012 07:13:17 -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/11/t13552280193dpzz28858cl2g0.htm/, Retrieved Thu, 28 Mar 2024 20:41:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=198465, Retrieved Thu, 28 Mar 2024 20:41:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact97
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [Histogram] [2012-12-11 12:07:39] [e35bad265b4f882bb08312c911aaf8f2]
- R  D    [Histogram] [Histogram (TF)] [2012-12-11 12:13:17] [a641906195a0eb35087b0121beaccdc9] [Current]
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Dataseries X:


102


112



118
122



106

149
122

86


117




97

132


87
101
115

109
159




131
120

86
105

100




132



105
121



120

126
138
118



130
103




129
150
88
125



112
144





127




117

108
139

97


115

95








91


102






124


106
125

130
79
108
136


108
139




110


114
118
120
108



130
130
112




94




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=198465&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=198465&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198465&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'Gwilym Jenkins' @ jenkins.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[70,80[7510.0158730.0158730.001587
[80,90[8540.0634920.0793650.006349
[90,100[9550.0793650.158730.007937
[100,110[105140.2222220.3809520.022222
[110,120[115120.1904760.5714290.019048
[120,130[125120.1904760.7619050.019048
[130,140[135110.1746030.9365080.01746
[140,150[14520.0317460.9682540.003175
[150,160]15520.03174610.003175

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[70,80[ & 75 & 1 & 0.015873 & 0.015873 & 0.001587 \tabularnewline
[80,90[ & 85 & 4 & 0.063492 & 0.079365 & 0.006349 \tabularnewline
[90,100[ & 95 & 5 & 0.079365 & 0.15873 & 0.007937 \tabularnewline
[100,110[ & 105 & 14 & 0.222222 & 0.380952 & 0.022222 \tabularnewline
[110,120[ & 115 & 12 & 0.190476 & 0.571429 & 0.019048 \tabularnewline
[120,130[ & 125 & 12 & 0.190476 & 0.761905 & 0.019048 \tabularnewline
[130,140[ & 135 & 11 & 0.174603 & 0.936508 & 0.01746 \tabularnewline
[140,150[ & 145 & 2 & 0.031746 & 0.968254 & 0.003175 \tabularnewline
[150,160] & 155 & 2 & 0.031746 & 1 & 0.003175 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198465&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][70,80[[/C][C]75[/C][C]1[/C][C]0.015873[/C][C]0.015873[/C][C]0.001587[/C][/ROW]
[ROW][C][80,90[[/C][C]85[/C][C]4[/C][C]0.063492[/C][C]0.079365[/C][C]0.006349[/C][/ROW]
[ROW][C][90,100[[/C][C]95[/C][C]5[/C][C]0.079365[/C][C]0.15873[/C][C]0.007937[/C][/ROW]
[ROW][C][100,110[[/C][C]105[/C][C]14[/C][C]0.222222[/C][C]0.380952[/C][C]0.022222[/C][/ROW]
[ROW][C][110,120[[/C][C]115[/C][C]12[/C][C]0.190476[/C][C]0.571429[/C][C]0.019048[/C][/ROW]
[ROW][C][120,130[[/C][C]125[/C][C]12[/C][C]0.190476[/C][C]0.761905[/C][C]0.019048[/C][/ROW]
[ROW][C][130,140[[/C][C]135[/C][C]11[/C][C]0.174603[/C][C]0.936508[/C][C]0.01746[/C][/ROW]
[ROW][C][140,150[[/C][C]145[/C][C]2[/C][C]0.031746[/C][C]0.968254[/C][C]0.003175[/C][/ROW]
[ROW][C][150,160][/C][C]155[/C][C]2[/C][C]0.031746[/C][C]1[/C][C]0.003175[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198465&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198465&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
[70,80[7510.0158730.0158730.001587
[80,90[8540.0634920.0793650.006349
[90,100[9550.0793650.158730.007937
[100,110[105140.2222220.3809520.022222
[110,120[115120.1904760.5714290.019048
[120,130[125120.1904760.7619050.019048
[130,140[135110.1746030.9365080.01746
[140,150[14520.0317460.9682540.003175
[150,160]15520.03174610.003175



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')
}