Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Wed, 13 Feb 2013 04:39:03 -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/Feb/13/t13607483848cd9b7wde89jwk7.htm/, Retrieved Sun, 19 Apr 2026 00:56:31 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=206477, Retrieved Sun, 19 Apr 2026 00:56:31 +0000

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

402

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

-     [Univariate Data Series] [gemiddelde consum...] [2013-01-31 18:05:59] [c392ccc27e03181a0e0f6126f48d1b9a]
- RMPD  [Histogram] [Number of bins 1,...] [2013-02-13 09:35:52] [6a6c2f75bf2bd9708d5f14e301096fe2]
- R P     [Histogram] [12 bins histogram] [2013-02-13 09:37:48] [6a6c2f75bf2bd9708d5f14e301096fe2]
- R P         [Histogram] [20 bins] [2013-02-13 09:39:03] [f2eb9e6f8a572d38d7977956fe5c285e] [Current]

Feedback Forum

Post a new message

Dataseries X:

Download CSV

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	'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206477&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206477&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206477&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	'Herman Ole Andreas Wold' @ wold.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[67.5,68[	67.75	1	0.013889	0.013889	0.027778
[68,68.5[	68.25	6	0.083333	0.097222	0.166667
[68.5,69[	68.75	7	0.097222	0.194444	0.194444
[69,69.5[	69.25	2	0.027778	0.222222	0.055556
[69.5,70[	69.75	5	0.069444	0.291667	0.138889
[70,70.5[	70.25	7	0.097222	0.388889	0.194444
[70.5,71[	70.75	6	0.083333	0.472222	0.166667
[71,71.5[	71.25	12	0.166667	0.638889	0.333333
[71.5,72[	71.75	11	0.152778	0.791667	0.305556
[72,72.5[	72.25	1	0.013889	0.805556	0.027778
[72.5,73[	72.75	5	0.069444	0.875	0.138889
[73,73.5[	73.25	5	0.069444	0.944444	0.138889
[73.5,74[	73.75	1	0.013889	0.958333	0.027778
[74,74.5]	74.25	3	0.041667	1	0.083333

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[67.5,68[ & 67.75 & 1 & 0.013889 & 0.013889 & 0.027778 \tabularnewline
[68,68.5[ & 68.25 & 6 & 0.083333 & 0.097222 & 0.166667 \tabularnewline
[68.5,69[ & 68.75 & 7 & 0.097222 & 0.194444 & 0.194444 \tabularnewline
[69,69.5[ & 69.25 & 2 & 0.027778 & 0.222222 & 0.055556 \tabularnewline
[69.5,70[ & 69.75 & 5 & 0.069444 & 0.291667 & 0.138889 \tabularnewline
[70,70.5[ & 70.25 & 7 & 0.097222 & 0.388889 & 0.194444 \tabularnewline
[70.5,71[ & 70.75 & 6 & 0.083333 & 0.472222 & 0.166667 \tabularnewline
[71,71.5[ & 71.25 & 12 & 0.166667 & 0.638889 & 0.333333 \tabularnewline
[71.5,72[ & 71.75 & 11 & 0.152778 & 0.791667 & 0.305556 \tabularnewline
[72,72.5[ & 72.25 & 1 & 0.013889 & 0.805556 & 0.027778 \tabularnewline
[72.5,73[ & 72.75 & 5 & 0.069444 & 0.875 & 0.138889 \tabularnewline
[73,73.5[ & 73.25 & 5 & 0.069444 & 0.944444 & 0.138889 \tabularnewline
[73.5,74[ & 73.75 & 1 & 0.013889 & 0.958333 & 0.027778 \tabularnewline
[74,74.5] & 74.25 & 3 & 0.041667 & 1 & 0.083333 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206477&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][67.5,68[[/C][C]67.75[/C][C]1[/C][C]0.013889[/C][C]0.013889[/C][C]0.027778[/C][/ROW]
[ROW][C][68,68.5[[/C][C]68.25[/C][C]6[/C][C]0.083333[/C][C]0.097222[/C][C]0.166667[/C][/ROW]
[ROW][C][68.5,69[[/C][C]68.75[/C][C]7[/C][C]0.097222[/C][C]0.194444[/C][C]0.194444[/C][/ROW]
[ROW][C][69,69.5[[/C][C]69.25[/C][C]2[/C][C]0.027778[/C][C]0.222222[/C][C]0.055556[/C][/ROW]
[ROW][C][69.5,70[[/C][C]69.75[/C][C]5[/C][C]0.069444[/C][C]0.291667[/C][C]0.138889[/C][/ROW]
[ROW][C][70,70.5[[/C][C]70.25[/C][C]7[/C][C]0.097222[/C][C]0.388889[/C][C]0.194444[/C][/ROW]
[ROW][C][70.5,71[[/C][C]70.75[/C][C]6[/C][C]0.083333[/C][C]0.472222[/C][C]0.166667[/C][/ROW]
[ROW][C][71,71.5[[/C][C]71.25[/C][C]12[/C][C]0.166667[/C][C]0.638889[/C][C]0.333333[/C][/ROW]
[ROW][C][71.5,72[[/C][C]71.75[/C][C]11[/C][C]0.152778[/C][C]0.791667[/C][C]0.305556[/C][/ROW]
[ROW][C][72,72.5[[/C][C]72.25[/C][C]1[/C][C]0.013889[/C][C]0.805556[/C][C]0.027778[/C][/ROW]
[ROW][C][72.5,73[[/C][C]72.75[/C][C]5[/C][C]0.069444[/C][C]0.875[/C][C]0.138889[/C][/ROW]
[ROW][C][73,73.5[[/C][C]73.25[/C][C]5[/C][C]0.069444[/C][C]0.944444[/C][C]0.138889[/C][/ROW]
[ROW][C][73.5,74[[/C][C]73.75[/C][C]1[/C][C]0.013889[/C][C]0.958333[/C][C]0.027778[/C][/ROW]
[ROW][C][74,74.5][/C][C]74.25[/C][C]3[/C][C]0.041667[/C][C]1[/C][C]0.083333[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206477&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206477&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
[67.5,68[	67.75	1	0.013889	0.013889	0.027778
[68,68.5[	68.25	6	0.083333	0.097222	0.166667
[68.5,69[	68.75	7	0.097222	0.194444	0.194444
[69,69.5[	69.25	2	0.027778	0.222222	0.055556
[69.5,70[	69.75	5	0.069444	0.291667	0.138889
[70,70.5[	70.25	7	0.097222	0.388889	0.194444
[70.5,71[	70.75	6	0.083333	0.472222	0.166667
[71,71.5[	71.25	12	0.166667	0.638889	0.333333
[71.5,72[	71.75	11	0.152778	0.791667	0.305556
[72,72.5[	72.25	1	0.013889	0.805556	0.027778
[72.5,73[	72.75	5	0.069444	0.875	0.138889
[73,73.5[	73.25	5	0.069444	0.944444	0.138889
[73.5,74[	73.75	1	0.013889	0.958333	0.027778
[74,74.5]	74.25	3	0.041667	1	0.083333

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 20 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 20 ; 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 {
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