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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Fri, 16 Dec 2016 08:45:58 +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/2016/Dec/16/t1481874392agrh5qjbhbhuu0c.htm/, Retrieved Tue, 10 Feb 2026 19:05:54 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=300078, Retrieved Tue, 10 Feb 2026 19:05:54 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

327

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

-       [Histogram] [] [2016-12-16 07:45:58] [73c8181f60882f9827d3eab75df83592] [Current]

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Dataseries X:

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Histogram

Boxplots

"Ondergoed/Lingerie"
"Ondergoed/Lingerie"
"Ondergoed/Lingerie"
"Ondergoed/Lingerie"
"Ondergoed/Lingerie"
"Ondergoed/Lingerie"
"Ondergoed/Lingerie"
"Ondergoed/Lingerie"
"Ondergoed/Lingerie"
"Ondergoed/Lingerie"
"Ondergoed/Lingerie"
"Ondergoed/Lingerie"
"Ondergoed/Lingerie"
"Ondergoed/Lingerie"
"Ondergoed/Lingerie"
"Ondergoed/Lingerie"
"Ondergoed/Lingerie"
"Ondergoed/Lingerie"
"Ondergoed/Lingerie"
"Ondergoed/Lingerie"
"Ondergoed/Lingerie"
"Ondergoed/Lingerie"
"Ondergoed/Lingerie"
"Ondergoed/Lingerie"
"Ondergoed/Lingerie"
"Ondergoed/Lingerie"
"Ondergoed/Lingerie"
"Ondergoed/Lingerie"
"Sokken/Maillot/Panty"
"Sokken/Maillot/Panty"
"Sokken/Maillot/Panty"
"Sokken/Maillot/Panty"
"Sokken/Maillot/Panty"
"Sokken/Maillot/Panty"
"Sokken/Maillot/Panty"
"Sokken/Maillot/Panty"
"Sokken/Maillot/Panty"
"Sokken/Maillot/Panty"
"Sokken/Maillot/Panty"
"Sokken/Maillot/Panty"
"Sokken/Maillot/Panty"
"Sokken/Maillot/Panty"
"Sokken/Maillot/Panty"
"Pantalon"
"Pantalon"
"Pantalon"
"Pantalon"
"Pantalon"
"Pantalon"
"Pantalon"
"Pantalon"
"Pantalon"
"Pantalon"
"Pantalon"
"Pantalon"
"Rok/Broek"
"Rok/Broek"
"Rok/Broek"
"Rok/Broek"
"Rok/Broek"
"Rok/Broek"
"Rok/Broek"
"Rok/Broek"
"Rok/Broek"
"Rok/Broek"
"Rok/Broek"
"Rok/Broek"
"Rok/Broek"
"Rok/Broek"
"Rok/Broek"
"Rok/Broek"
"Rok/Broek"
"Rok/Broek"
"Rok/Broek"
"Rok/Broek"
"Rok/Broek"
"Rok/Broek"
"Rok/Broek"
"Rok/Broek"
"Rok/Broek"
"Rok/Broek"
"Rok/Broek"
"Rok/Broek"
"Rok/Broek"
"Rok/Broek"
"Rok/Broek"
"Rok/Broek"
"Rok/Broek"
"Rok/Broek"
"Jurk"
"Jurk"
"Jurk"
"Jurk"
"Jurk"
"Jurk"
"Jurk"
"Jurk"
"Jurk"
"Jurk"
"Jurk"
"Jurk"
"Jurk"
"Jurk"
"Jurk"
"Jurk"
"Jurk"
"Jurk"
"Jurk"
"Jurk"
"Jurk"
"Jurk"
"Jurk"
"Jurk"
"Jurk"
"Jurk"
"Jurk"
"Jurk"
"Jurk"
"Blouse/Overhemd"
"Blouse/Overhemd"
"Blouse/Overhemd"
"Blouse/Overhemd"
"Blouse/Overhemd"
"Blouse/Overhemd"
"Blouse/Overhemd"
"Blouse/Overhemd"
"Blouse/Overhemd"
"Blouse/Overhemd"
"Blouse/Overhemd"
"Blouse/Overhemd"
"Blouse/Overhemd"
"Blouse/Overhemd"
"Blouse/Overhemd"
"Blouse/Overhemd"
"Blouse/Overhemd"
"Blouse/Overhemd"
"Blouse/Overhemd"
"Blouse/Overhemd"
"Blouse/Overhemd"
"Blouse/Overhemd"
"Blouse/Overhemd"
"Blouse/Overhemd"
"Blouse/Overhemd"
"Blouse/Overhemd"
"Blouse/Overhemd"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"T-shirt/Trui"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Schoeisel"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Accessoires"
"Geenvandezeopties"
"Geenvandezeopties"
"Geenvandezeopties"
"Geenvandezeopties"
"Geenvandezeopties"
"Geenvandezeopties"
"Geenvandezeopties"
"Geenvandezeopties"
"Geenvandezeopties"
"Geenvandezeopties"
"Geenvandezeopties"
"Geenvandezeopties"
"Geenvandezeopties"
"Geenvandezeopties"
"Geenvandezeopties"
"Geenvandezeopties"
"Geenvandezeopties"
"Geenvandezeopties"
"Geenvandezeopties"
"Geenvandezeopties"
"Geenvandezeopties"
"Geenvandezeopties"
"Geenvandezeopties"
"Geenvandezeopties"
"Geenvandezeopties"
"Geenvandezeopties"
"Geenvandezeopties"
"Geenvandezeopties"
"Geenvandezeopties"
"Geenvandezeopties"
"Geenvandezeopties"
"Geenvandezeopties"

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	0 seconds
R Server	Big Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time0 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=300078&T=0

[TABLE]
[ROW]

Summary of computational transaction[/C][/ROW] [ROW]

Raw Input[/C]

view raw input (R code) [/C][/ROW] [ROW]

Raw Output[/C]

view raw output of R engine [/C][/ROW] [ROW]

Computing time[/C]

0 seconds[/C][/ROW] [ROW]

R Server[/C]

Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=300078&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=300078&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	0 seconds
R Server	Big Analytics Cloud Computing Center

Frequency Table (Categorical Data)
Category	Abs. Frequency	Rel. Frequency
Schoeisel	83	0.2237
T-shirt/Trui	60	0.1617
Accessoires	51	0.1375
Rok/Broek	34	0.0916
Geenvandezeopties	32	0.0863
Jurk	29	0.0782
Ondergoed/Lingerie	28	0.0755
Blouse/Overhemd	27	0.0728
Sokken/Maillot/Panty	15	0.0404
Pantalon	12	0.0323

\begin{tabular}{lllllllll}
\hline
Frequency Table (Categorical Data) \tabularnewline
Category & Abs. Frequency & Rel. Frequency \tabularnewline
Schoeisel & 83 & 0.2237 \tabularnewline
T-shirt/Trui & 60 & 0.1617 \tabularnewline
Accessoires & 51 & 0.1375 \tabularnewline
Rok/Broek & 34 & 0.0916 \tabularnewline
Geenvandezeopties & 32 & 0.0863 \tabularnewline
Jurk & 29 & 0.0782 \tabularnewline
Ondergoed/Lingerie & 28 & 0.0755 \tabularnewline
Blouse/Overhemd & 27 & 0.0728 \tabularnewline
Sokken/Maillot/Panty & 15 & 0.0404 \tabularnewline
Pantalon & 12 & 0.0323 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=300078&T=1

[TABLE]
[ROW][C]Frequency Table (Categorical Data)[/C][/ROW]
[ROW][C]Category[/C][C]Abs. Frequency[/C][C]Rel. Frequency[/C][/ROW]
[ROW][C]Schoeisel[/C][C]83[/C][C]0.2237[/C][/ROW]
[ROW][C]T-shirt/Trui[/C][C]60[/C][C]0.1617[/C][/ROW]
[ROW][C]Accessoires[/C][C]51[/C][C]0.1375[/C][/ROW]
[ROW][C]Rok/Broek[/C][C]34[/C][C]0.0916[/C][/ROW]
[ROW][C]Geenvandezeopties[/C][C]32[/C][C]0.0863[/C][/ROW]
[ROW][C]Jurk[/C][C]29[/C][C]0.0782[/C][/ROW]
[ROW][C]Ondergoed/Lingerie[/C][C]28[/C][C]0.0755[/C][/ROW]
[ROW][C]Blouse/Overhemd[/C][C]27[/C][C]0.0728[/C][/ROW]
[ROW][C]Sokken/Maillot/Panty[/C][C]15[/C][C]0.0404[/C][/ROW]
[ROW][C]Pantalon[/C][C]12[/C][C]0.0323[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=300078&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=300078&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 (Categorical Data)
Category	Abs. Frequency	Rel. Frequency
Schoeisel	83	0.2237
T-shirt/Trui	60	0.1617
Accessoires	51	0.1375
Rok/Broek	34	0.0916
Geenvandezeopties	32	0.0863
Jurk	29	0.0782
Ondergoed/Lingerie	28	0.0755
Blouse/Overhemd	27	0.0728
Sokken/Maillot/Panty	15	0.0404
Pantalon	12	0.0323

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 10 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 10 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

R code (references can be found in the software module):

par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- '10'
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 {
barplot(mytab <- sort(table(x),T),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,'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