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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 computationFri, 17 Dec 2010 15:52:25 +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/2010/Dec/17/t1292601039bdp3e6t5blnx2d5.htm/, Retrieved Mon, 06 May 2024 15:41:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=111542, Retrieved Mon, 06 May 2024 15:41:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact124

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Histogram Happiness] [2010-12-17 15:52:25] [66b4703b90a9701067ac75b10c82aca9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
14
18
11
12
16
18
14
14
15
15
17
19
10
18
14
14
17
14
16
18
14
12
17
9
16
14
11
16
13
17
15
14
16
9
15
17
13
15
16
16
12
11
15
17
13
16
14
11
12
12
15
16
15
12
12
8
13
11
14
15
10
11
12
15
15
14
16
15
15
13
17
13
15
13
15
16
15
16
15
14
15
7
17
13
15
14
13
16
12
14
17
15
17
12
16
11
15
9
16
10
10
15
11
13
14
18
16
14
14
14
14
12
14
15
15
13
17
17
19
15
13
9
15
15
16
11
14
11
15
13
16
14
15
16
16
11
13
16
12
9
13
13
14
19
13

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' @ 72.249.76.132

\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' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=111542&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' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=111542&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=111542&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' @ 72.249.76.132






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[7,8[7.510.0068970.0068970.006897
[8,9[8.510.0068970.0137930.006897
[9,10[9.550.0344830.0482760.034483
[10,11[10.540.0275860.0758620.027586
[11,12[11.5110.0758620.1517240.075862
[12,13[12.5120.0827590.2344830.082759
[13,14[13.5170.1172410.3517240.117241
[14,15[14.5240.1655170.5172410.165517
[15,16[15.5290.20.7172410.2
[16,17[16.5210.1448280.8620690.144828
[17,18[17.5120.0827590.9448280.082759
[18,19]18.580.05517210.055172

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[7,8[ & 7.5 & 1 & 0.006897 & 0.006897 & 0.006897 \tabularnewline
[8,9[ & 8.5 & 1 & 0.006897 & 0.013793 & 0.006897 \tabularnewline
[9,10[ & 9.5 & 5 & 0.034483 & 0.048276 & 0.034483 \tabularnewline
[10,11[ & 10.5 & 4 & 0.027586 & 0.075862 & 0.027586 \tabularnewline
[11,12[ & 11.5 & 11 & 0.075862 & 0.151724 & 0.075862 \tabularnewline
[12,13[ & 12.5 & 12 & 0.082759 & 0.234483 & 0.082759 \tabularnewline
[13,14[ & 13.5 & 17 & 0.117241 & 0.351724 & 0.117241 \tabularnewline
[14,15[ & 14.5 & 24 & 0.165517 & 0.517241 & 0.165517 \tabularnewline
[15,16[ & 15.5 & 29 & 0.2 & 0.717241 & 0.2 \tabularnewline
[16,17[ & 16.5 & 21 & 0.144828 & 0.862069 & 0.144828 \tabularnewline
[17,18[ & 17.5 & 12 & 0.082759 & 0.944828 & 0.082759 \tabularnewline
[18,19] & 18.5 & 8 & 0.055172 & 1 & 0.055172 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=111542&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][7,8[[/C][C]7.5[/C][C]1[/C][C]0.006897[/C][C]0.006897[/C][C]0.006897[/C][/ROW]
[ROW][C][8,9[[/C][C]8.5[/C][C]1[/C][C]0.006897[/C][C]0.013793[/C][C]0.006897[/C][/ROW]
[ROW][C][9,10[[/C][C]9.5[/C][C]5[/C][C]0.034483[/C][C]0.048276[/C][C]0.034483[/C][/ROW]
[ROW][C][10,11[[/C][C]10.5[/C][C]4[/C][C]0.027586[/C][C]0.075862[/C][C]0.027586[/C][/ROW]
[ROW][C][11,12[[/C][C]11.5[/C][C]11[/C][C]0.075862[/C][C]0.151724[/C][C]0.075862[/C][/ROW]
[ROW][C][12,13[[/C][C]12.5[/C][C]12[/C][C]0.082759[/C][C]0.234483[/C][C]0.082759[/C][/ROW]
[ROW][C][13,14[[/C][C]13.5[/C][C]17[/C][C]0.117241[/C][C]0.351724[/C][C]0.117241[/C][/ROW]
[ROW][C][14,15[[/C][C]14.5[/C][C]24[/C][C]0.165517[/C][C]0.517241[/C][C]0.165517[/C][/ROW]
[ROW][C][15,16[[/C][C]15.5[/C][C]29[/C][C]0.2[/C][C]0.717241[/C][C]0.2[/C][/ROW]
[ROW][C][16,17[[/C][C]16.5[/C][C]21[/C][C]0.144828[/C][C]0.862069[/C][C]0.144828[/C][/ROW]
[ROW][C][17,18[[/C][C]17.5[/C][C]12[/C][C]0.082759[/C][C]0.944828[/C][C]0.082759[/C][/ROW]
[ROW][C][18,19][/C][C]18.5[/C][C]8[/C][C]0.055172[/C][C]1[/C][C]0.055172[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=111542&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=111542&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
[7,8[7.510.0068970.0068970.006897
[8,9[8.510.0068970.0137930.006897
[9,10[9.550.0344830.0482760.034483
[10,11[10.540.0275860.0758620.027586
[11,12[11.5110.0758620.1517240.075862
[12,13[12.5120.0827590.2344830.082759
[13,14[13.5170.1172410.3517240.117241
[14,15[14.5240.1655170.5172410.165517
[15,16[15.5290.20.7172410.2
[16,17[16.5210.1448280.8620690.144828
[17,18[17.5120.0827590.9448280.082759
[18,19]18.580.05517210.055172


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')
}