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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

Sun, 17 Dec 2017 11:55:24 +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/2017/Dec/17/t1513508247kry9r50euuvwvo0.htm/, Retrieved Tue, 25 Aug 2026 11:00:32 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=309955, Retrieved Tue, 25 Aug 2026 11:00:32 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

356

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

-       [Histogram] [] [2017-12-17 10:55:24] [1fcbe9b3e47b52dd478864c188c3f957] [Current]

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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	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 time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=309955&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]

1 seconds[/C][/ROW] [ROW]

R Server[/C]

Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=309955&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=309955&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	Big Analytics Cloud Computing Center

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[0,0.05[	0.025	35373	0.987356	0.987356	19.747111
[0.05,0.1[	0.075	0	0	0.987356	0
[0.1,0.15[	0.125	0	0	0.987356	0
[0.15,0.2[	0.175	0	0	0.987356	0
[0.2,0.25[	0.225	0	0	0.987356	0
[0.25,0.3[	0.275	0	0	0.987356	0
[0.3,0.35[	0.325	0	0	0.987356	0
[0.35,0.4[	0.375	0	0	0.987356	0
[0.4,0.45[	0.425	0	0	0.987356	0
[0.45,0.5[	0.475	0	0	0.987356	0
[0.5,0.55[	0.525	0	0	0.987356	0
[0.55,0.6[	0.575	0	0	0.987356	0
[0.6,0.65[	0.625	0	0	0.987356	0
[0.65,0.7[	0.675	0	0	0.987356	0
[0.7,0.75[	0.725	0	0	0.987356	0
[0.75,0.8[	0.775	0	0	0.987356	0
[0.8,0.85[	0.825	0	0	0.987356	0
[0.85,0.9[	0.875	0	0	0.987356	0
[0.9,0.95[	0.925	0	0	0.987356	0
[0.95,1]	0.975	453	0.012644	1	0.252889

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,0.05[ & 0.025 & 35373 & 0.987356 & 0.987356 & 19.747111 \tabularnewline
[0.05,0.1[ & 0.075 & 0 & 0 & 0.987356 & 0 \tabularnewline
[0.1,0.15[ & 0.125 & 0 & 0 & 0.987356 & 0 \tabularnewline
[0.15,0.2[ & 0.175 & 0 & 0 & 0.987356 & 0 \tabularnewline
[0.2,0.25[ & 0.225 & 0 & 0 & 0.987356 & 0 \tabularnewline
[0.25,0.3[ & 0.275 & 0 & 0 & 0.987356 & 0 \tabularnewline
[0.3,0.35[ & 0.325 & 0 & 0 & 0.987356 & 0 \tabularnewline
[0.35,0.4[ & 0.375 & 0 & 0 & 0.987356 & 0 \tabularnewline
[0.4,0.45[ & 0.425 & 0 & 0 & 0.987356 & 0 \tabularnewline
[0.45,0.5[ & 0.475 & 0 & 0 & 0.987356 & 0 \tabularnewline
[0.5,0.55[ & 0.525 & 0 & 0 & 0.987356 & 0 \tabularnewline
[0.55,0.6[ & 0.575 & 0 & 0 & 0.987356 & 0 \tabularnewline
[0.6,0.65[ & 0.625 & 0 & 0 & 0.987356 & 0 \tabularnewline
[0.65,0.7[ & 0.675 & 0 & 0 & 0.987356 & 0 \tabularnewline
[0.7,0.75[ & 0.725 & 0 & 0 & 0.987356 & 0 \tabularnewline
[0.75,0.8[ & 0.775 & 0 & 0 & 0.987356 & 0 \tabularnewline
[0.8,0.85[ & 0.825 & 0 & 0 & 0.987356 & 0 \tabularnewline
[0.85,0.9[ & 0.875 & 0 & 0 & 0.987356 & 0 \tabularnewline
[0.9,0.95[ & 0.925 & 0 & 0 & 0.987356 & 0 \tabularnewline
[0.95,1] & 0.975 & 453 & 0.012644 & 1 & 0.252889 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=309955&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][0,0.05[[/C][C]0.025[/C][C]35373[/C][C]0.987356[/C][C]0.987356[/C][C]19.747111[/C][/ROW]
[ROW][C][0.05,0.1[[/C][C]0.075[/C][C]0[/C][C]0[/C][C]0.987356[/C][C]0[/C][/ROW]
[ROW][C][0.1,0.15[[/C][C]0.125[/C][C]0[/C][C]0[/C][C]0.987356[/C][C]0[/C][/ROW]
[ROW][C][0.15,0.2[[/C][C]0.175[/C][C]0[/C][C]0[/C][C]0.987356[/C][C]0[/C][/ROW]
[ROW][C][0.2,0.25[[/C][C]0.225[/C][C]0[/C][C]0[/C][C]0.987356[/C][C]0[/C][/ROW]
[ROW][C][0.25,0.3[[/C][C]0.275[/C][C]0[/C][C]0[/C][C]0.987356[/C][C]0[/C][/ROW]
[ROW][C][0.3,0.35[[/C][C]0.325[/C][C]0[/C][C]0[/C][C]0.987356[/C][C]0[/C][/ROW]
[ROW][C][0.35,0.4[[/C][C]0.375[/C][C]0[/C][C]0[/C][C]0.987356[/C][C]0[/C][/ROW]
[ROW][C][0.4,0.45[[/C][C]0.425[/C][C]0[/C][C]0[/C][C]0.987356[/C][C]0[/C][/ROW]
[ROW][C][0.45,0.5[[/C][C]0.475[/C][C]0[/C][C]0[/C][C]0.987356[/C][C]0[/C][/ROW]
[ROW][C][0.5,0.55[[/C][C]0.525[/C][C]0[/C][C]0[/C][C]0.987356[/C][C]0[/C][/ROW]
[ROW][C][0.55,0.6[[/C][C]0.575[/C][C]0[/C][C]0[/C][C]0.987356[/C][C]0[/C][/ROW]
[ROW][C][0.6,0.65[[/C][C]0.625[/C][C]0[/C][C]0[/C][C]0.987356[/C][C]0[/C][/ROW]
[ROW][C][0.65,0.7[[/C][C]0.675[/C][C]0[/C][C]0[/C][C]0.987356[/C][C]0[/C][/ROW]
[ROW][C][0.7,0.75[[/C][C]0.725[/C][C]0[/C][C]0[/C][C]0.987356[/C][C]0[/C][/ROW]
[ROW][C][0.75,0.8[[/C][C]0.775[/C][C]0[/C][C]0[/C][C]0.987356[/C][C]0[/C][/ROW]
[ROW][C][0.8,0.85[[/C][C]0.825[/C][C]0[/C][C]0[/C][C]0.987356[/C][C]0[/C][/ROW]
[ROW][C][0.85,0.9[[/C][C]0.875[/C][C]0[/C][C]0[/C][C]0.987356[/C][C]0[/C][/ROW]
[ROW][C][0.9,0.95[[/C][C]0.925[/C][C]0[/C][C]0[/C][C]0.987356[/C][C]0[/C][/ROW]
[ROW][C][0.95,1][/C][C]0.975[/C][C]453[/C][C]0.012644[/C][C]1[/C][C]0.252889[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=309955&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=309955&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
[0,0.05[	0.025	35373	0.987356	0.987356	19.747111
[0.05,0.1[	0.075	0	0	0.987356	0
[0.1,0.15[	0.125	0	0	0.987356	0
[0.15,0.2[	0.175	0	0	0.987356	0
[0.2,0.25[	0.225	0	0	0.987356	0
[0.25,0.3[	0.275	0	0	0.987356	0
[0.3,0.35[	0.325	0	0	0.987356	0
[0.35,0.4[	0.375	0	0	0.987356	0
[0.4,0.45[	0.425	0	0	0.987356	0
[0.45,0.5[	0.475	0	0	0.987356	0
[0.5,0.55[	0.525	0	0	0.987356	0
[0.55,0.6[	0.575	0	0	0.987356	0
[0.6,0.65[	0.625	0	0	0.987356	0
[0.65,0.7[	0.675	0	0	0.987356	0
[0.7,0.75[	0.725	0	0	0.987356	0
[0.75,0.8[	0.775	0	0	0.987356	0
[0.8,0.85[	0.825	0	0	0.987356	0
[0.85,0.9[	0.875	0	0	0.987356	0
[0.9,0.95[	0.925	0	0	0.987356	0
[0.95,1]	0.975	453	0.012644	1	0.252889

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 {
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