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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Wed, 28 Jan 2015 18:58:34 +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/2015/Jan/28/t14224715716wtcf9hsy05crrz.htm/, Retrieved Tue, 14 May 2024 23:41:26 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=276231, Retrieved Tue, 14 May 2024 23:41:26 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

156

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

-       [Histogram] [] [2015-01-28 18:58:34] [70e23d918d09c907c02097a361cd6415] [Current]

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Dataseries X:

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Histogram

Boxplots

-23.5
-21.1
-20.9
-20.8
-17.3
-16.1
-14.6
-13.9
-9.7
-9.2
-9
-8.1
-7.6
-7.2
-6.8
-6.6
-6.2
-6
-5.6
-5.6
-5.6
-5.4
-5.1
-5
-4.9
-4.8
-4.8
-4.8
-4.7
-4.1
-3.8
-3.7
-3.4
-3.2
-3.1
-3.1
-3.1
-2.8
-2.4
-2.2
-2
-1.8
-1.7
-1.4
-1.4
-1.3
-0.9
-0.8
-0.5
-0.3
-0.3
-0.1
0.1
0.2
0.2
0.3
0.6
1.5
1.7
1.8
2.5
2.6
2.7
2.8
3.3
3.5
3.6
4.3
4.8
4.8
4.8
5.7
5.8
5.9
6
6.3
6.8
6.8
7
7.4
7.5
7.6
7.8
7.9
8
8.1
8.4
8.4
8.5
8.7
8.7
8.7
8.7
8.8
8.9

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	'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=276231&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=276231&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276231&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	'Sir Maurice George Kendall' @ kendall.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[-25,-20[	-22.5	4	0.042105	0.042105	0.008421
[-20,-15[	-17.5	2	0.021053	0.063158	0.004211
[-15,-10[	-12.5	2	0.021053	0.084211	0.004211
[-10,-5[	-7.5	15	0.157895	0.242105	0.031579
[-5,0[	-2.5	29	0.305263	0.547368	0.061053
[0,5[	2.5	19	0.2	0.747368	0.04
[5,10]	7.5	24	0.252632	1	0.050526

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-25,-20[ & -22.5 & 4 & 0.042105 & 0.042105 & 0.008421 \tabularnewline
[-20,-15[ & -17.5 & 2 & 0.021053 & 0.063158 & 0.004211 \tabularnewline
[-15,-10[ & -12.5 & 2 & 0.021053 & 0.084211 & 0.004211 \tabularnewline
[-10,-5[ & -7.5 & 15 & 0.157895 & 0.242105 & 0.031579 \tabularnewline
[-5,0[ & -2.5 & 29 & 0.305263 & 0.547368 & 0.061053 \tabularnewline
[0,5[ & 2.5 & 19 & 0.2 & 0.747368 & 0.04 \tabularnewline
[5,10] & 7.5 & 24 & 0.252632 & 1 & 0.050526 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=276231&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][-25,-20[[/C][C]-22.5[/C][C]4[/C][C]0.042105[/C][C]0.042105[/C][C]0.008421[/C][/ROW]
[ROW][C][-20,-15[[/C][C]-17.5[/C][C]2[/C][C]0.021053[/C][C]0.063158[/C][C]0.004211[/C][/ROW]
[ROW][C][-15,-10[[/C][C]-12.5[/C][C]2[/C][C]0.021053[/C][C]0.084211[/C][C]0.004211[/C][/ROW]
[ROW][C][-10,-5[[/C][C]-7.5[/C][C]15[/C][C]0.157895[/C][C]0.242105[/C][C]0.031579[/C][/ROW]
[ROW][C][-5,0[[/C][C]-2.5[/C][C]29[/C][C]0.305263[/C][C]0.547368[/C][C]0.061053[/C][/ROW]
[ROW][C][0,5[[/C][C]2.5[/C][C]19[/C][C]0.2[/C][C]0.747368[/C][C]0.04[/C][/ROW]
[ROW][C][5,10][/C][C]7.5[/C][C]24[/C][C]0.252632[/C][C]1[/C][C]0.050526[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=276231&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276231&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
[-25,-20[	-22.5	4	0.042105	0.042105	0.008421
[-20,-15[	-17.5	2	0.021053	0.063158	0.004211
[-15,-10[	-12.5	2	0.021053	0.084211	0.004211
[-10,-5[	-7.5	15	0.157895	0.242105	0.031579
[-5,0[	-2.5	29	0.305263	0.547368	0.061053
[0,5[	2.5	19	0.2	0.747368	0.04
[5,10]	7.5	24	0.252632	1	0.050526

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):

par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- ''
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