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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Mon, 30 Sep 2013 14:00:15 -0400

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/Sep/30/t1380564105pvyayunat47jgzy.htm/, Retrieved Sun, 15 Feb 2026 08:46:22 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212495, Retrieved Sun, 15 Feb 2026 08:46:22 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

355

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

-       [Histogram] [] [2013-09-30 18:00:15] [3c7daf9c150a57900c7784703a011e78] [Current]
- R P     [Histogram] [] [2013-10-07 11:41:02] [f1b4e037718d22c2d53dadc64c29fc43] 
- R P     [Histogram] [] [2013-10-07 11:46:24] [f1b4e037718d22c2d53dadc64c29fc43] 
- R P     [Histogram] [] [2013-10-07 11:52:58] [f1b4e037718d22c2d53dadc64c29fc43] 
- RMP     [Kernel Density Estimation] [] [2013-10-07 12:00:25] [f1b4e037718d22c2d53dadc64c29fc43] 

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Dataseries X:

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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	2 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 & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212495&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]2 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=212495&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212495&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	2 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[100,102[	101	12	0.166667	0.166667	0.083333
[102,104[	103	7	0.097222	0.263889	0.048611
[104,106[	105	24	0.333333	0.597222	0.166667
[106,108[	107	13	0.180556	0.777778	0.090278
[108,110[	109	0	0	0.777778	0
[110,112[	111	8	0.111111	0.888889	0.055556
[112,114[	113	4	0.055556	0.944444	0.027778
[114,116[	115	0	0	0.944444	0
[116,118]	117	4	0.055556	1	0.027778

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[100,102[ & 101 & 12 & 0.166667 & 0.166667 & 0.083333 \tabularnewline
[102,104[ & 103 & 7 & 0.097222 & 0.263889 & 0.048611 \tabularnewline
[104,106[ & 105 & 24 & 0.333333 & 0.597222 & 0.166667 \tabularnewline
[106,108[ & 107 & 13 & 0.180556 & 0.777778 & 0.090278 \tabularnewline
[108,110[ & 109 & 0 & 0 & 0.777778 & 0 \tabularnewline
[110,112[ & 111 & 8 & 0.111111 & 0.888889 & 0.055556 \tabularnewline
[112,114[ & 113 & 4 & 0.055556 & 0.944444 & 0.027778 \tabularnewline
[114,116[ & 115 & 0 & 0 & 0.944444 & 0 \tabularnewline
[116,118] & 117 & 4 & 0.055556 & 1 & 0.027778 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212495&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][100,102[[/C][C]101[/C][C]12[/C][C]0.166667[/C][C]0.166667[/C][C]0.083333[/C][/ROW]
[ROW][C][102,104[[/C][C]103[/C][C]7[/C][C]0.097222[/C][C]0.263889[/C][C]0.048611[/C][/ROW]
[ROW][C][104,106[[/C][C]105[/C][C]24[/C][C]0.333333[/C][C]0.597222[/C][C]0.166667[/C][/ROW]
[ROW][C][106,108[[/C][C]107[/C][C]13[/C][C]0.180556[/C][C]0.777778[/C][C]0.090278[/C][/ROW]
[ROW][C][108,110[[/C][C]109[/C][C]0[/C][C]0[/C][C]0.777778[/C][C]0[/C][/ROW]
[ROW][C][110,112[[/C][C]111[/C][C]8[/C][C]0.111111[/C][C]0.888889[/C][C]0.055556[/C][/ROW]
[ROW][C][112,114[[/C][C]113[/C][C]4[/C][C]0.055556[/C][C]0.944444[/C][C]0.027778[/C][/ROW]
[ROW][C][114,116[[/C][C]115[/C][C]0[/C][C]0[/C][C]0.944444[/C][C]0[/C][/ROW]
[ROW][C][116,118][/C][C]117[/C][C]4[/C][C]0.055556[/C][C]1[/C][C]0.027778[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212495&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212495&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
[100,102[	101	12	0.166667	0.166667	0.083333
[102,104[	103	7	0.097222	0.263889	0.048611
[104,106[	105	24	0.333333	0.597222	0.166667
[106,108[	107	13	0.180556	0.777778	0.090278
[108,110[	109	0	0	0.777778	0
[110,112[	111	8	0.111111	0.888889	0.055556
[112,114[	113	4	0.055556	0.944444	0.027778
[114,116[	115	0	0	0.944444	0
[116,118]	117	4	0.055556	1	0.027778

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par2 = blue ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

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

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

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