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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

Thu, 16 Dec 2010 14:23:25 +0000

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/2010/Dec/16/t12925092946x2n4dnyu4ap6tq.htm/, Retrieved Fri, 03 May 2024 04:16:50 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=110958, Retrieved Fri, 03 May 2024 04:16:50 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

157

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

-     [(Partial) Autocorrelation Function] [] [2010-12-13 08:35:23] [21eff0c210342db4afbdafe426a7c254]
-   PD  [(Partial) Autocorrelation Function] [] [2010-12-13 09:29:04] [21eff0c210342db4afbdafe426a7c254]
-    D    [(Partial) Autocorrelation Function] [] [2010-12-13 10:05:17] [21eff0c210342db4afbdafe426a7c254]
- RM D      [ARIMA Forecasting] [] [2010-12-13 10:48:48] [21eff0c210342db4afbdafe426a7c254]
- RMPD        [Univariate Data Series] [] [2010-12-13 20:53:52] [21eff0c210342db4afbdafe426a7c254]
- RMPD          [Histogram] [] [2010-12-14 14:33:39] [21eff0c210342db4afbdafe426a7c254]
-   PD              [Histogram] [] [2010-12-16 14:23:25] [13a73be5002723d89d3723d5fe97baf8] [Current]

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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	1 seconds
R Server	'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=110958&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=110958&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110958&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	'RServer@AstonUniversity' @ vre.aston.ac.uk

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[13,14[	13.5	1	0.017241	0.017241	0.017241
[14,15[	14.5	1	0.017241	0.034483	0.017241
[15,16[	15.5	2	0.034483	0.068966	0.034483
[16,17[	16.5	2	0.034483	0.103448	0.034483
[17,18[	17.5	4	0.068966	0.172414	0.068966
[18,19[	18.5	8	0.137931	0.310345	0.137931
[19,20[	19.5	10	0.172414	0.482759	0.172414
[20,21[	20.5	6	0.103448	0.586207	0.103448
[21,22[	21.5	5	0.086207	0.672414	0.086207
[22,23[	22.5	6	0.103448	0.775862	0.103448
[23,24[	23.5	5	0.086207	0.862069	0.086207
[24,25[	24.5	5	0.086207	0.948276	0.086207
[25,26]	25.5	3	0.051724	1	0.051724

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[13,14[ & 13.5 & 1 & 0.017241 & 0.017241 & 0.017241 \tabularnewline
[14,15[ & 14.5 & 1 & 0.017241 & 0.034483 & 0.017241 \tabularnewline
[15,16[ & 15.5 & 2 & 0.034483 & 0.068966 & 0.034483 \tabularnewline
[16,17[ & 16.5 & 2 & 0.034483 & 0.103448 & 0.034483 \tabularnewline
[17,18[ & 17.5 & 4 & 0.068966 & 0.172414 & 0.068966 \tabularnewline
[18,19[ & 18.5 & 8 & 0.137931 & 0.310345 & 0.137931 \tabularnewline
[19,20[ & 19.5 & 10 & 0.172414 & 0.482759 & 0.172414 \tabularnewline
[20,21[ & 20.5 & 6 & 0.103448 & 0.586207 & 0.103448 \tabularnewline
[21,22[ & 21.5 & 5 & 0.086207 & 0.672414 & 0.086207 \tabularnewline
[22,23[ & 22.5 & 6 & 0.103448 & 0.775862 & 0.103448 \tabularnewline
[23,24[ & 23.5 & 5 & 0.086207 & 0.862069 & 0.086207 \tabularnewline
[24,25[ & 24.5 & 5 & 0.086207 & 0.948276 & 0.086207 \tabularnewline
[25,26] & 25.5 & 3 & 0.051724 & 1 & 0.051724 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=110958&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][13,14[[/C][C]13.5[/C][C]1[/C][C]0.017241[/C][C]0.017241[/C][C]0.017241[/C][/ROW]
[ROW][C][14,15[[/C][C]14.5[/C][C]1[/C][C]0.017241[/C][C]0.034483[/C][C]0.017241[/C][/ROW]
[ROW][C][15,16[[/C][C]15.5[/C][C]2[/C][C]0.034483[/C][C]0.068966[/C][C]0.034483[/C][/ROW]
[ROW][C][16,17[[/C][C]16.5[/C][C]2[/C][C]0.034483[/C][C]0.103448[/C][C]0.034483[/C][/ROW]
[ROW][C][17,18[[/C][C]17.5[/C][C]4[/C][C]0.068966[/C][C]0.172414[/C][C]0.068966[/C][/ROW]
[ROW][C][18,19[[/C][C]18.5[/C][C]8[/C][C]0.137931[/C][C]0.310345[/C][C]0.137931[/C][/ROW]
[ROW][C][19,20[[/C][C]19.5[/C][C]10[/C][C]0.172414[/C][C]0.482759[/C][C]0.172414[/C][/ROW]
[ROW][C][20,21[[/C][C]20.5[/C][C]6[/C][C]0.103448[/C][C]0.586207[/C][C]0.103448[/C][/ROW]
[ROW][C][21,22[[/C][C]21.5[/C][C]5[/C][C]0.086207[/C][C]0.672414[/C][C]0.086207[/C][/ROW]
[ROW][C][22,23[[/C][C]22.5[/C][C]6[/C][C]0.103448[/C][C]0.775862[/C][C]0.103448[/C][/ROW]
[ROW][C][23,24[[/C][C]23.5[/C][C]5[/C][C]0.086207[/C][C]0.862069[/C][C]0.086207[/C][/ROW]
[ROW][C][24,25[[/C][C]24.5[/C][C]5[/C][C]0.086207[/C][C]0.948276[/C][C]0.086207[/C][/ROW]
[ROW][C][25,26][/C][C]25.5[/C][C]3[/C][C]0.051724[/C][C]1[/C][C]0.051724[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=110958&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110958&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
[13,14[	13.5	1	0.017241	0.017241	0.017241
[14,15[	14.5	1	0.017241	0.034483	0.017241
[15,16[	15.5	2	0.034483	0.068966	0.034483
[16,17[	16.5	2	0.034483	0.103448	0.034483
[17,18[	17.5	4	0.068966	0.172414	0.068966
[18,19[	18.5	8	0.137931	0.310345	0.137931
[19,20[	19.5	10	0.172414	0.482759	0.172414
[20,21[	20.5	6	0.103448	0.586207	0.103448
[21,22[	21.5	5	0.086207	0.672414	0.086207
[22,23[	22.5	6	0.103448	0.775862	0.103448
[23,24[	23.5	5	0.086207	0.862069	0.086207
[24,25[	24.5	5	0.086207	0.948276	0.086207
[25,26]	25.5	3	0.051724	1	0.051724

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 12 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 12 ; 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