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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Sat, 07 Feb 2015 17:15:46 +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/2015/Feb/07/t14233293674qxrcrucki2ntqi.htm/, Retrieved Sat, 18 May 2024 06:27:13 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=276815, Retrieved Sat, 18 May 2024 06:27:13 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

191

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

-     [Univariate Data Series] [CPI Inflatie] [2015-01-27 15:21:06] [8390261acee10548bfb365f53448cdf9]
- RMP     [Histogram] [] [2015-02-07 17:15:46] [944b95db226364abcbc791a2a23b852c] [Current]

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Dataseries X:

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Histogram

Boxplots

1.3
1.2
1.1
1.4
1.5
1.4
1.1
1.1
1
1.4
1.3
1.2
1.5
1.6
1.8
1.5
1.3
1.6
1.6
1.8
1.8
1.6
1.8
2
1.3
1.1
1
1.2
1.2
1.3
1.3
1.4
1.1
0.9
1
1.1
1.4
1.5
1.8
1.8
1.8
1.7
1.5
1.1
1.3
1.6
1.9
1.9
2
2.2
2.2
2
2.3
2.6
3.2
3.2
3.1
2.8
2.3
1.9
1.9
2
2
1.8
1.6
1.4
0.2
0.3
0.4
0.7
1
1.1
0.8
0.8
1
1.1
1
0.8
1.6
1.5
1.6
1.6
1.6
1.9
2
1.9
2
2.1
2.3
2.3
2.6
2.6
2.7
2.6
2.6
2.4
2.5
2.5
2.5
2.4
2.1
2.1
2.3
2.3
2.3
2.9
2.8
2.9
3
3
2.9
2.6
2.8
2.9
3.1
2.8
2.4
1.6
1.5
1.7
1.4
1.1
0.8
1.2
0.8
0.9
0.9
1
0.9
1.1
1
0.7

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	'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=276815&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=276815&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276815&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	'George Udny Yule' @ yule.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[0,0.5[	0.25	3	0.022727	0.022727	0.045455
[0.5,1[	0.75	11	0.083333	0.106061	0.166667
[1,1.5[	1.25	38	0.287879	0.393939	0.575758
[1.5,2[	1.75	34	0.257576	0.651515	0.515152
[2,2.5[	2.25	22	0.166667	0.818182	0.333333
[2.5,3[	2.75	18	0.136364	0.954545	0.272727
[3,3.5]	3.25	6	0.045455	1	0.090909

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,0.5[ & 0.25 & 3 & 0.022727 & 0.022727 & 0.045455 \tabularnewline
[0.5,1[ & 0.75 & 11 & 0.083333 & 0.106061 & 0.166667 \tabularnewline
[1,1.5[ & 1.25 & 38 & 0.287879 & 0.393939 & 0.575758 \tabularnewline
[1.5,2[ & 1.75 & 34 & 0.257576 & 0.651515 & 0.515152 \tabularnewline
[2,2.5[ & 2.25 & 22 & 0.166667 & 0.818182 & 0.333333 \tabularnewline
[2.5,3[ & 2.75 & 18 & 0.136364 & 0.954545 & 0.272727 \tabularnewline
[3,3.5] & 3.25 & 6 & 0.045455 & 1 & 0.090909 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=276815&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][0,0.5[[/C][C]0.25[/C][C]3[/C][C]0.022727[/C][C]0.022727[/C][C]0.045455[/C][/ROW]
[ROW][C][0.5,1[[/C][C]0.75[/C][C]11[/C][C]0.083333[/C][C]0.106061[/C][C]0.166667[/C][/ROW]
[ROW][C][1,1.5[[/C][C]1.25[/C][C]38[/C][C]0.287879[/C][C]0.393939[/C][C]0.575758[/C][/ROW]
[ROW][C][1.5,2[[/C][C]1.75[/C][C]34[/C][C]0.257576[/C][C]0.651515[/C][C]0.515152[/C][/ROW]
[ROW][C][2,2.5[[/C][C]2.25[/C][C]22[/C][C]0.166667[/C][C]0.818182[/C][C]0.333333[/C][/ROW]
[ROW][C][2.5,3[[/C][C]2.75[/C][C]18[/C][C]0.136364[/C][C]0.954545[/C][C]0.272727[/C][/ROW]
[ROW][C][3,3.5][/C][C]3.25[/C][C]6[/C][C]0.045455[/C][C]1[/C][C]0.090909[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=276815&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276815&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
[0,0.5[	0.25	3	0.022727	0.022727	0.045455
[0.5,1[	0.75	11	0.083333	0.106061	0.166667
[1,1.5[	1.25	38	0.287879	0.393939	0.575758
[1.5,2[	1.75	34	0.257576	0.651515	0.515152
[2,2.5[	2.25	22	0.166667	0.818182	0.333333
[2.5,3[	2.75	18	0.136364	0.954545	0.272727
[3,3.5]	3.25	6	0.045455	1	0.090909

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 {
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