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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Tue, 21 Feb 2012 09:28:58 -0500

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Feb/21/t13298345754qnetq0ywdmen1h.htm/, Retrieved Fri, 03 May 2024 17:54:03 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=162939, Retrieved Fri, 03 May 2024 17:54:03 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

KDG2011W2EC

Estimated Impact

137

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Histogram] [Maximumprijs vr t...] [2012-02-21 13:55:35] [adc168f2d81c407e2daa68e328480c63]
-   PD    [Histogram] [Gem. consumptiepr...] [2012-02-21 14:28:58] [08ac479f43b71ff391b5d339ed1ce3ff] [Current]

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Dataseries X:

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Histogram

Boxplots

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'AstonUniversity' @ aston.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 & 2 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162939&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]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162939&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162939&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'AstonUniversity' @ aston.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[73.5,74[	73.75	7	0.116667	0.116667	0.233333
[74,74.5[	74.25	1	0.016667	0.133333	0.033333
[74.5,75[	74.75	0	0	0.133333	0
[75,75.5[	75.25	1	0.016667	0.15	0.033333
[75.5,76[	75.75	5	0.083333	0.233333	0.166667
[76,76.5[	76.25	0	0	0.233333	0
[76.5,77[	76.75	0	0	0.233333	0
[77,77.5[	77.25	0	0	0.233333	0
[77.5,78[	77.75	1	0.016667	0.25	0.033333
[78,78.5[	78.25	0	0	0.25	0
[78.5,79[	78.75	0	0	0.25	0
[79,79.5[	79.25	0	0	0.25	0
[79.5,80[	79.75	0	0	0.25	0
[80,80.5[	80.25	0	0	0.25	0
[80.5,81[	80.75	0	0	0.25	0
[81,81.5[	81.25	0	0	0.25	0
[81.5,82[	81.75	0	0	0.25	0
[82,82.5[	82.25	1	0.016667	0.266667	0.033333
[82.5,83[	82.75	0	0	0.266667	0
[83,83.5[	83.25	0	0	0.266667	0
[83.5,84[	83.75	0	0	0.266667	0
[84,84.5[	84.25	0	0	0.266667	0
[84.5,85[	84.75	1	0.016667	0.283333	0.033333
[85,85.5[	85.25	2	0.033333	0.316667	0.066667
[85.5,86[	85.75	8	0.133333	0.45	0.266667
[86,86.5[	86.25	1	0.016667	0.466667	0.033333
[86.5,87[	86.75	0	0	0.466667	0
[87,87.5[	87.25	0	0	0.466667	0
[87.5,88[	87.75	5	0.083333	0.55	0.166667
[88,88.5[	88.25	5	0.083333	0.633333	0.166667
[88.5,89[	88.75	1	0.016667	0.65	0.033333
[89,89.5[	89.25	1	0.016667	0.666667	0.033333
[89.5,90[	89.75	7	0.116667	0.783333	0.233333
[90,90.5[	90.25	4	0.066667	0.85	0.133333
[90.5,91[	90.75	1	0.016667	0.866667	0.033333
[91,91.5[	91.25	0	0	0.866667	0
[91.5,92[	91.75	0	0	0.866667	0
[92,92.5]	92.25	8	0.133333	1	0.266667

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[73.5,74[ & 73.75 & 7 & 0.116667 & 0.116667 & 0.233333 \tabularnewline
[74,74.5[ & 74.25 & 1 & 0.016667 & 0.133333 & 0.033333 \tabularnewline
[74.5,75[ & 74.75 & 0 & 0 & 0.133333 & 0 \tabularnewline
[75,75.5[ & 75.25 & 1 & 0.016667 & 0.15 & 0.033333 \tabularnewline
[75.5,76[ & 75.75 & 5 & 0.083333 & 0.233333 & 0.166667 \tabularnewline
[76,76.5[ & 76.25 & 0 & 0 & 0.233333 & 0 \tabularnewline
[76.5,77[ & 76.75 & 0 & 0 & 0.233333 & 0 \tabularnewline
[77,77.5[ & 77.25 & 0 & 0 & 0.233333 & 0 \tabularnewline
[77.5,78[ & 77.75 & 1 & 0.016667 & 0.25 & 0.033333 \tabularnewline
[78,78.5[ & 78.25 & 0 & 0 & 0.25 & 0 \tabularnewline
[78.5,79[ & 78.75 & 0 & 0 & 0.25 & 0 \tabularnewline
[79,79.5[ & 79.25 & 0 & 0 & 0.25 & 0 \tabularnewline
[79.5,80[ & 79.75 & 0 & 0 & 0.25 & 0 \tabularnewline
[80,80.5[ & 80.25 & 0 & 0 & 0.25 & 0 \tabularnewline
[80.5,81[ & 80.75 & 0 & 0 & 0.25 & 0 \tabularnewline
[81,81.5[ & 81.25 & 0 & 0 & 0.25 & 0 \tabularnewline
[81.5,82[ & 81.75 & 0 & 0 & 0.25 & 0 \tabularnewline
[82,82.5[ & 82.25 & 1 & 0.016667 & 0.266667 & 0.033333 \tabularnewline
[82.5,83[ & 82.75 & 0 & 0 & 0.266667 & 0 \tabularnewline
[83,83.5[ & 83.25 & 0 & 0 & 0.266667 & 0 \tabularnewline
[83.5,84[ & 83.75 & 0 & 0 & 0.266667 & 0 \tabularnewline
[84,84.5[ & 84.25 & 0 & 0 & 0.266667 & 0 \tabularnewline
[84.5,85[ & 84.75 & 1 & 0.016667 & 0.283333 & 0.033333 \tabularnewline
[85,85.5[ & 85.25 & 2 & 0.033333 & 0.316667 & 0.066667 \tabularnewline
[85.5,86[ & 85.75 & 8 & 0.133333 & 0.45 & 0.266667 \tabularnewline
[86,86.5[ & 86.25 & 1 & 0.016667 & 0.466667 & 0.033333 \tabularnewline
[86.5,87[ & 86.75 & 0 & 0 & 0.466667 & 0 \tabularnewline
[87,87.5[ & 87.25 & 0 & 0 & 0.466667 & 0 \tabularnewline
[87.5,88[ & 87.75 & 5 & 0.083333 & 0.55 & 0.166667 \tabularnewline
[88,88.5[ & 88.25 & 5 & 0.083333 & 0.633333 & 0.166667 \tabularnewline
[88.5,89[ & 88.75 & 1 & 0.016667 & 0.65 & 0.033333 \tabularnewline
[89,89.5[ & 89.25 & 1 & 0.016667 & 0.666667 & 0.033333 \tabularnewline
[89.5,90[ & 89.75 & 7 & 0.116667 & 0.783333 & 0.233333 \tabularnewline
[90,90.5[ & 90.25 & 4 & 0.066667 & 0.85 & 0.133333 \tabularnewline
[90.5,91[ & 90.75 & 1 & 0.016667 & 0.866667 & 0.033333 \tabularnewline
[91,91.5[ & 91.25 & 0 & 0 & 0.866667 & 0 \tabularnewline
[91.5,92[ & 91.75 & 0 & 0 & 0.866667 & 0 \tabularnewline
[92,92.5] & 92.25 & 8 & 0.133333 & 1 & 0.266667 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162939&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][73.5,74[[/C][C]73.75[/C][C]7[/C][C]0.116667[/C][C]0.116667[/C][C]0.233333[/C][/ROW]
[ROW][C][74,74.5[[/C][C]74.25[/C][C]1[/C][C]0.016667[/C][C]0.133333[/C][C]0.033333[/C][/ROW]
[ROW][C][74.5,75[[/C][C]74.75[/C][C]0[/C][C]0[/C][C]0.133333[/C][C]0[/C][/ROW]
[ROW][C][75,75.5[[/C][C]75.25[/C][C]1[/C][C]0.016667[/C][C]0.15[/C][C]0.033333[/C][/ROW]
[ROW][C][75.5,76[[/C][C]75.75[/C][C]5[/C][C]0.083333[/C][C]0.233333[/C][C]0.166667[/C][/ROW]
[ROW][C][76,76.5[[/C][C]76.25[/C][C]0[/C][C]0[/C][C]0.233333[/C][C]0[/C][/ROW]
[ROW][C][76.5,77[[/C][C]76.75[/C][C]0[/C][C]0[/C][C]0.233333[/C][C]0[/C][/ROW]
[ROW][C][77,77.5[[/C][C]77.25[/C][C]0[/C][C]0[/C][C]0.233333[/C][C]0[/C][/ROW]
[ROW][C][77.5,78[[/C][C]77.75[/C][C]1[/C][C]0.016667[/C][C]0.25[/C][C]0.033333[/C][/ROW]
[ROW][C][78,78.5[[/C][C]78.25[/C][C]0[/C][C]0[/C][C]0.25[/C][C]0[/C][/ROW]
[ROW][C][78.5,79[[/C][C]78.75[/C][C]0[/C][C]0[/C][C]0.25[/C][C]0[/C][/ROW]
[ROW][C][79,79.5[[/C][C]79.25[/C][C]0[/C][C]0[/C][C]0.25[/C][C]0[/C][/ROW]
[ROW][C][79.5,80[[/C][C]79.75[/C][C]0[/C][C]0[/C][C]0.25[/C][C]0[/C][/ROW]
[ROW][C][80,80.5[[/C][C]80.25[/C][C]0[/C][C]0[/C][C]0.25[/C][C]0[/C][/ROW]
[ROW][C][80.5,81[[/C][C]80.75[/C][C]0[/C][C]0[/C][C]0.25[/C][C]0[/C][/ROW]
[ROW][C][81,81.5[[/C][C]81.25[/C][C]0[/C][C]0[/C][C]0.25[/C][C]0[/C][/ROW]
[ROW][C][81.5,82[[/C][C]81.75[/C][C]0[/C][C]0[/C][C]0.25[/C][C]0[/C][/ROW]
[ROW][C][82,82.5[[/C][C]82.25[/C][C]1[/C][C]0.016667[/C][C]0.266667[/C][C]0.033333[/C][/ROW]
[ROW][C][82.5,83[[/C][C]82.75[/C][C]0[/C][C]0[/C][C]0.266667[/C][C]0[/C][/ROW]
[ROW][C][83,83.5[[/C][C]83.25[/C][C]0[/C][C]0[/C][C]0.266667[/C][C]0[/C][/ROW]
[ROW][C][83.5,84[[/C][C]83.75[/C][C]0[/C][C]0[/C][C]0.266667[/C][C]0[/C][/ROW]
[ROW][C][84,84.5[[/C][C]84.25[/C][C]0[/C][C]0[/C][C]0.266667[/C][C]0[/C][/ROW]
[ROW][C][84.5,85[[/C][C]84.75[/C][C]1[/C][C]0.016667[/C][C]0.283333[/C][C]0.033333[/C][/ROW]
[ROW][C][85,85.5[[/C][C]85.25[/C][C]2[/C][C]0.033333[/C][C]0.316667[/C][C]0.066667[/C][/ROW]
[ROW][C][85.5,86[[/C][C]85.75[/C][C]8[/C][C]0.133333[/C][C]0.45[/C][C]0.266667[/C][/ROW]
[ROW][C][86,86.5[[/C][C]86.25[/C][C]1[/C][C]0.016667[/C][C]0.466667[/C][C]0.033333[/C][/ROW]
[ROW][C][86.5,87[[/C][C]86.75[/C][C]0[/C][C]0[/C][C]0.466667[/C][C]0[/C][/ROW]
[ROW][C][87,87.5[[/C][C]87.25[/C][C]0[/C][C]0[/C][C]0.466667[/C][C]0[/C][/ROW]
[ROW][C][87.5,88[[/C][C]87.75[/C][C]5[/C][C]0.083333[/C][C]0.55[/C][C]0.166667[/C][/ROW]
[ROW][C][88,88.5[[/C][C]88.25[/C][C]5[/C][C]0.083333[/C][C]0.633333[/C][C]0.166667[/C][/ROW]
[ROW][C][88.5,89[[/C][C]88.75[/C][C]1[/C][C]0.016667[/C][C]0.65[/C][C]0.033333[/C][/ROW]
[ROW][C][89,89.5[[/C][C]89.25[/C][C]1[/C][C]0.016667[/C][C]0.666667[/C][C]0.033333[/C][/ROW]
[ROW][C][89.5,90[[/C][C]89.75[/C][C]7[/C][C]0.116667[/C][C]0.783333[/C][C]0.233333[/C][/ROW]
[ROW][C][90,90.5[[/C][C]90.25[/C][C]4[/C][C]0.066667[/C][C]0.85[/C][C]0.133333[/C][/ROW]
[ROW][C][90.5,91[[/C][C]90.75[/C][C]1[/C][C]0.016667[/C][C]0.866667[/C][C]0.033333[/C][/ROW]
[ROW][C][91,91.5[[/C][C]91.25[/C][C]0[/C][C]0[/C][C]0.866667[/C][C]0[/C][/ROW]
[ROW][C][91.5,92[[/C][C]91.75[/C][C]0[/C][C]0[/C][C]0.866667[/C][C]0[/C][/ROW]
[ROW][C][92,92.5][/C][C]92.25[/C][C]8[/C][C]0.133333[/C][C]1[/C][C]0.266667[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162939&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162939&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)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[73.5,74[	73.75	7	0.116667	0.116667	0.233333
[74,74.5[	74.25	1	0.016667	0.133333	0.033333
[74.5,75[	74.75	0	0	0.133333	0
[75,75.5[	75.25	1	0.016667	0.15	0.033333
[75.5,76[	75.75	5	0.083333	0.233333	0.166667
[76,76.5[	76.25	0	0	0.233333	0
[76.5,77[	76.75	0	0	0.233333	0
[77,77.5[	77.25	0	0	0.233333	0
[77.5,78[	77.75	1	0.016667	0.25	0.033333
[78,78.5[	78.25	0	0	0.25	0
[78.5,79[	78.75	0	0	0.25	0
[79,79.5[	79.25	0	0	0.25	0
[79.5,80[	79.75	0	0	0.25	0
[80,80.5[	80.25	0	0	0.25	0
[80.5,81[	80.75	0	0	0.25	0
[81,81.5[	81.25	0	0	0.25	0
[81.5,82[	81.75	0	0	0.25	0
[82,82.5[	82.25	1	0.016667	0.266667	0.033333
[82.5,83[	82.75	0	0	0.266667	0
[83,83.5[	83.25	0	0	0.266667	0
[83.5,84[	83.75	0	0	0.266667	0
[84,84.5[	84.25	0	0	0.266667	0
[84.5,85[	84.75	1	0.016667	0.283333	0.033333
[85,85.5[	85.25	2	0.033333	0.316667	0.066667
[85.5,86[	85.75	8	0.133333	0.45	0.266667
[86,86.5[	86.25	1	0.016667	0.466667	0.033333
[86.5,87[	86.75	0	0	0.466667	0
[87,87.5[	87.25	0	0	0.466667	0
[87.5,88[	87.75	5	0.083333	0.55	0.166667
[88,88.5[	88.25	5	0.083333	0.633333	0.166667
[88.5,89[	88.75	1	0.016667	0.65	0.033333
[89,89.5[	89.25	1	0.016667	0.666667	0.033333
[89.5,90[	89.75	7	0.116667	0.783333	0.233333
[90,90.5[	90.25	4	0.066667	0.85	0.133333
[90.5,91[	90.75	1	0.016667	0.866667	0.033333
[91,91.5[	91.25	0	0	0.866667	0
[91.5,92[	91.75	0	0	0.866667	0
[92,92.5]	92.25	8	0.133333	1	0.266667

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 50 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 50 ; 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')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code