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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, 28 Sep 2010 12:42:22 +0000

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/2010/Sep/28/t1285677765zjl608vrywhe8lt.htm/, Retrieved Mon, 29 Apr 2024 07:34:00 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=79578, Retrieved Mon, 29 Apr 2024 07:34:00 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

KDGP1W1

Estimated Impact

205

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

-       [Histogram] [Werkloosheidsperc...] [2010-09-28 12:42:22] [9c46b2659272a99de8fec46bf5966107] [Current]

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Dataseries X:

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Histogram

Boxplots

5.8
5.9
5.9
6
6.1
6.3
6.2
6.1
6.1
6
5.8
5.7
5.7
5.6
5.8
5.6
5.6
5.6
5.5
5.4
5.4
5.5
5.4
5.4
5.3
5.4
5.2
5.2
5.1
5
5
4.9
5
5
5
4.9
4.7
4.8
4.7
4.8
4.6
4.6
4.7
4.7
4.5
4.4
4.5
4.4
4.6
4.5
4.4
4.5
4.4
4.6
4.6
4.6
4.7
4.8
4.7
5
5
4.8
5.1
5
5.4
5.5
5.8
6.1
6.2
6.6
6.9
7.4
7.7
8.2
8.6
8.9
9.4
9.5
9.4
9.7
9.8
10.1
10
10
9.7
9.7
9.7
9.5
9.5
9.6
9.5
9.5

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	'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79578&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79578&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79578&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	'RServer@AstonUniversity' @ vre.aston.ac.uk

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[4,5[	4.5	26	0.282609	0.282609	0.282609
[5,6[	5.5	34	0.369565	0.652174	0.369565
[6,7[	6.5	11	0.119565	0.771739	0.119565
[7,8[	7.5	2	0.021739	0.793478	0.021739
[8,9[	8.5	3	0.032609	0.826087	0.032609
[9,10[	9.5	13	0.141304	0.967391	0.141304
[10,11]	10.5	3	0.032609	1	0.032609

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[4,5[ & 4.5 & 26 & 0.282609 & 0.282609 & 0.282609 \tabularnewline
[5,6[ & 5.5 & 34 & 0.369565 & 0.652174 & 0.369565 \tabularnewline
[6,7[ & 6.5 & 11 & 0.119565 & 0.771739 & 0.119565 \tabularnewline
[7,8[ & 7.5 & 2 & 0.021739 & 0.793478 & 0.021739 \tabularnewline
[8,9[ & 8.5 & 3 & 0.032609 & 0.826087 & 0.032609 \tabularnewline
[9,10[ & 9.5 & 13 & 0.141304 & 0.967391 & 0.141304 \tabularnewline
[10,11] & 10.5 & 3 & 0.032609 & 1 & 0.032609 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79578&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][4,5[[/C][C]4.5[/C][C]26[/C][C]0.282609[/C][C]0.282609[/C][C]0.282609[/C][/ROW]
[ROW][C][5,6[[/C][C]5.5[/C][C]34[/C][C]0.369565[/C][C]0.652174[/C][C]0.369565[/C][/ROW]
[ROW][C][6,7[[/C][C]6.5[/C][C]11[/C][C]0.119565[/C][C]0.771739[/C][C]0.119565[/C][/ROW]
[ROW][C][7,8[[/C][C]7.5[/C][C]2[/C][C]0.021739[/C][C]0.793478[/C][C]0.021739[/C][/ROW]
[ROW][C][8,9[[/C][C]8.5[/C][C]3[/C][C]0.032609[/C][C]0.826087[/C][C]0.032609[/C][/ROW]
[ROW][C][9,10[[/C][C]9.5[/C][C]13[/C][C]0.141304[/C][C]0.967391[/C][C]0.141304[/C][/ROW]
[ROW][C][10,11][/C][C]10.5[/C][C]3[/C][C]0.032609[/C][C]1[/C][C]0.032609[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79578&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79578&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
[4,5[	4.5	26	0.282609	0.282609	0.282609
[5,6[	5.5	34	0.369565	0.652174	0.369565
[6,7[	6.5	11	0.119565	0.771739	0.119565
[7,8[	7.5	2	0.021739	0.793478	0.021739
[8,9[	8.5	3	0.032609	0.826087	0.032609
[9,10[	9.5	13	0.141304	0.967391	0.141304
[10,11]	10.5	3	0.032609	1	0.032609

Figure 1

PNG link

Postscript link

PDF link

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')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code