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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Fri, 26 Sep 2014 10:25:23 +0100

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/2014/Sep/26/t1411723833b7j1ypyc4tnfkqi.htm/, Retrieved Fri, 01 Nov 2024 01:02:19 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=236212, Retrieved Fri, 01 Nov 2024 01:02:19 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

118

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

-       [Histogram] [Ziekteverzuimperc...] [2014-09-26 09:25:23] [7e6d0f152da1c8c00143095b938e0e97] [Current]

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Dataseries X:

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Histogram

Boxplots

4,8
4
3,5
4,1
4,1
3,8
3,5
4,1
4,5
4,1
3,8
4,6
5,2
4,4
4,3
4,7
5,1
4,6
4,7
4,9
5,1
4,6
4,6
4,8
5,1
4,8
4,4
4,8
4,7
4
3,5
4
3,7
3,1
2,9
3,3
3,5
3
2,7
3,2
3,8
3,3
3,1
3,5
3,9
3,4
3,2
3,6
3,9
3,2
3
3,4
3,6
3
3
3,6
3,6
3,3
3,3
3,6
3,8
3,3
3,1
3,4
3,5
3,1
3
3,3
3,7
3,1
2,9
3,1

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236212&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236212&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236212&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	1 seconds
R Server	'Herman Ole Andreas Wold' @ wold.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[2.5,3[	2.75	3	0.041667	0.041667	0.083333
[3,3.5[	3.25	23	0.319444	0.361111	0.638889
[3.5,4[	3.75	19	0.263889	0.625	0.527778
[4,4.5[	4.25	10	0.138889	0.763889	0.277778
[4.5,5[	4.75	13	0.180556	0.944444	0.361111
[5,5.5]	5.25	4	0.055556	1	0.111111

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[2.5,3[ & 2.75 & 3 & 0.041667 & 0.041667 & 0.083333 \tabularnewline
[3,3.5[ & 3.25 & 23 & 0.319444 & 0.361111 & 0.638889 \tabularnewline
[3.5,4[ & 3.75 & 19 & 0.263889 & 0.625 & 0.527778 \tabularnewline
[4,4.5[ & 4.25 & 10 & 0.138889 & 0.763889 & 0.277778 \tabularnewline
[4.5,5[ & 4.75 & 13 & 0.180556 & 0.944444 & 0.361111 \tabularnewline
[5,5.5] & 5.25 & 4 & 0.055556 & 1 & 0.111111 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236212&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][2.5,3[[/C][C]2.75[/C][C]3[/C][C]0.041667[/C][C]0.041667[/C][C]0.083333[/C][/ROW]
[ROW][C][3,3.5[[/C][C]3.25[/C][C]23[/C][C]0.319444[/C][C]0.361111[/C][C]0.638889[/C][/ROW]
[ROW][C][3.5,4[[/C][C]3.75[/C][C]19[/C][C]0.263889[/C][C]0.625[/C][C]0.527778[/C][/ROW]
[ROW][C][4,4.5[[/C][C]4.25[/C][C]10[/C][C]0.138889[/C][C]0.763889[/C][C]0.277778[/C][/ROW]
[ROW][C][4.5,5[[/C][C]4.75[/C][C]13[/C][C]0.180556[/C][C]0.944444[/C][C]0.361111[/C][/ROW]
[ROW][C][5,5.5][/C][C]5.25[/C][C]4[/C][C]0.055556[/C][C]1[/C][C]0.111111[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236212&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236212&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
[2.5,3[	2.75	3	0.041667	0.041667	0.083333
[3,3.5[	3.25	23	0.319444	0.361111	0.638889
[3.5,4[	3.75	19	0.263889	0.625	0.527778
[4,4.5[	4.25	10	0.138889	0.763889	0.277778
[4.5,5[	4.75	13	0.180556	0.944444	0.361111
[5,5.5]	5.25	4	0.055556	1	0.111111

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