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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

Tue, 19 Nov 2013 08:49:36 -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/2013/Nov/19/t1384868994n61pnadvtxvhf2l.htm/, Retrieved Fri, 13 Feb 2026 03:37:17 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=226451, Retrieved Fri, 13 Feb 2026 03:37:17 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

307

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

-     [Histogram, QQplot and Density] [Workshop 1 ] [2010-09-29 15:04:17] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RM    [Histogram, QQplot and Density] [Workshop 1] [2011-10-03 09:04:15] [74be16979710d4c4e7c6647856088456]
- RMPD    [Histogram] [Smokers Mild ] [2013-11-19 13:43:17] [7b4b37ca38bd64527031339a1168b3fd]
- R  D      [Histogram] [Smokers Hot ] [2013-11-19 13:45:37] [7b4b37ca38bd64527031339a1168b3fd]
-    D        [Histogram] [Non- Smokers Hot ] [2013-11-19 13:47:39] [7b4b37ca38bd64527031339a1168b3fd]
-    D            [Histogram] [Non- Smokers Mild ] [2013-11-19 13:49:36] [f82f65588ccf978a56b5f0b770421c21] [Current]
-                   [Histogram] [Non- Smokers Mild ] [2013-11-19 13:50:49] [7b4b37ca38bd64527031339a1168b3fd] 

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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	1 seconds
R Server	'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226451&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226451&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226451&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	'Gertrude Mary Cox' @ cox.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[1,2[	1.5	1	0.05	0.05	0.05
[2,3[	2.5	3	0.15	0.2	0.15
[3,4[	3.5	5	0.25	0.45	0.25
[4,5[	4.5	6	0.3	0.75	0.3
[5,6]	5.5	5	0.25	1	0.25

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[1,2[ & 1.5 & 1 & 0.05 & 0.05 & 0.05 \tabularnewline
[2,3[ & 2.5 & 3 & 0.15 & 0.2 & 0.15 \tabularnewline
[3,4[ & 3.5 & 5 & 0.25 & 0.45 & 0.25 \tabularnewline
[4,5[ & 4.5 & 6 & 0.3 & 0.75 & 0.3 \tabularnewline
[5,6] & 5.5 & 5 & 0.25 & 1 & 0.25 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226451&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][1,2[[/C][C]1.5[/C][C]1[/C][C]0.05[/C][C]0.05[/C][C]0.05[/C][/ROW]
[ROW][C][2,3[[/C][C]2.5[/C][C]3[/C][C]0.15[/C][C]0.2[/C][C]0.15[/C][/ROW]
[ROW][C][3,4[[/C][C]3.5[/C][C]5[/C][C]0.25[/C][C]0.45[/C][C]0.25[/C][/ROW]
[ROW][C][4,5[[/C][C]4.5[/C][C]6[/C][C]0.3[/C][C]0.75[/C][C]0.3[/C][/ROW]
[ROW][C][5,6][/C][C]5.5[/C][C]5[/C][C]0.25[/C][C]1[/C][C]0.25[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226451&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226451&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
[1,2[	1.5	1	0.05	0.05	0.05
[2,3[	2.5	3	0.15	0.2	0.15
[3,4[	3.5	5	0.25	0.45	0.25
[4,5[	4.5	6	0.3	0.75	0.3
[5,6]	5.5	5	0.25	1	0.25

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par2 = red ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = ; par2 = red ; par3 = FALSE ; par4 = Unknown ;

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

par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'red'
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