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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Tue, 21 Feb 2012 12:14:44 -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/2012/Feb/21/t13298460667qm1lrhhugob296.htm/, Retrieved Fri, 03 May 2024 17:45:59 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=162969, Retrieved Fri, 03 May 2024 17:45:59 +0000

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

Industri�le productie, exclusief bouw. Veranderingspercentages van het gemiddelde voor de laatste 3 maanden t.o.v. dezelfde periode van het voorgaande jaar. Deze frequentie is maandelijks.

IsPrivate?

No (this computation is public)

User-defined keywords

Belgi� Economische activiteit Industri�le productie

Estimated Impact

114

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

-       [Histogram] [Frequency tabel o...] [2012-02-21 17:14:44] [ead7f94c39a9147d7fc817f49c1841e5] [Current]

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Dataseries X:

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Histogram

Boxplots

3.9
5.9
5.7
3.6
4.9
5.3
8.7
6.8
8.9
9.6
11.2
9.9
9.3
9.2
9.4
12.7
13.6
16.1
14.8
14.1
13.2
8.7
4.9
-1.3
-3.9
-6
-6.6
-8.7
-11.6
-14.6
-12.9
-13.8
-14.1
-13.2
-10.4
-3.3
1
3.1
4.5
1.9
3.9
7
5.6
8.1
6.1
8
6.5
5.6
4.8
5.1
7.8
10.3
8.6
6.8
4.9
5.4
5.5
4.7
4.2
5
5
6
2.9
3.6
5.1
2.9
4.7
3
5
2.6
3.2
2.4
3.2
2.6
2.4
2.1
2.7
4.4
4.3
4.2
5.5
8.8
10.1
7
5.7
5.2
5.5
7.3
5.9
7.1
6.9
6.7
4.7
6.7
8.5
2.1
-0.9
-4.7
4.8
2.6
1.7
-1.8
0.2
1.9
3.2
3.1
4.2
16.2
18.3
21.6
12.6
9.8
10.6
13
9.7
7.9
3.3
3.4
0.4

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	'Gertrude Mary Cox' @ cox.wessa.net
R Framework error message	Warning: there are blank lines in the 'Data' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.

\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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
R Framework error message & Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values. \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162969&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162969&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162969&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	'Gertrude Mary Cox' @ cox.wessa.net
R Framework error message	Warning: there are blank lines in the 'Data' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[-15,-10[	-12.5	7	0.058824	0.058824	0.011765
[-10,-5[	-7.5	3	0.02521	0.084034	0.005042
[-5,0[	-2.5	6	0.05042	0.134454	0.010084
[0,5[	2.5	42	0.352941	0.487395	0.070588
[5,10[	7.5	46	0.386555	0.87395	0.077311
[10,15[	12.5	11	0.092437	0.966387	0.018487
[15,20[	17.5	3	0.02521	0.991597	0.005042
[20,25]	22.5	1	0.008403	1	0.001681

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-15,-10[ & -12.5 & 7 & 0.058824 & 0.058824 & 0.011765 \tabularnewline
[-10,-5[ & -7.5 & 3 & 0.02521 & 0.084034 & 0.005042 \tabularnewline
[-5,0[ & -2.5 & 6 & 0.05042 & 0.134454 & 0.010084 \tabularnewline
[0,5[ & 2.5 & 42 & 0.352941 & 0.487395 & 0.070588 \tabularnewline
[5,10[ & 7.5 & 46 & 0.386555 & 0.87395 & 0.077311 \tabularnewline
[10,15[ & 12.5 & 11 & 0.092437 & 0.966387 & 0.018487 \tabularnewline
[15,20[ & 17.5 & 3 & 0.02521 & 0.991597 & 0.005042 \tabularnewline
[20,25] & 22.5 & 1 & 0.008403 & 1 & 0.001681 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162969&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][-15,-10[[/C][C]-12.5[/C][C]7[/C][C]0.058824[/C][C]0.058824[/C][C]0.011765[/C][/ROW]
[ROW][C][-10,-5[[/C][C]-7.5[/C][C]3[/C][C]0.02521[/C][C]0.084034[/C][C]0.005042[/C][/ROW]
[ROW][C][-5,0[[/C][C]-2.5[/C][C]6[/C][C]0.05042[/C][C]0.134454[/C][C]0.010084[/C][/ROW]
[ROW][C][0,5[[/C][C]2.5[/C][C]42[/C][C]0.352941[/C][C]0.487395[/C][C]0.070588[/C][/ROW]
[ROW][C][5,10[[/C][C]7.5[/C][C]46[/C][C]0.386555[/C][C]0.87395[/C][C]0.077311[/C][/ROW]
[ROW][C][10,15[[/C][C]12.5[/C][C]11[/C][C]0.092437[/C][C]0.966387[/C][C]0.018487[/C][/ROW]
[ROW][C][15,20[[/C][C]17.5[/C][C]3[/C][C]0.02521[/C][C]0.991597[/C][C]0.005042[/C][/ROW]
[ROW][C][20,25][/C][C]22.5[/C][C]1[/C][C]0.008403[/C][C]1[/C][C]0.001681[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162969&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162969&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
[-15,-10[	-12.5	7	0.058824	0.058824	0.011765
[-10,-5[	-7.5	3	0.02521	0.084034	0.005042
[-5,0[	-2.5	6	0.05042	0.134454	0.010084
[0,5[	2.5	42	0.352941	0.487395	0.070588
[5,10[	7.5	46	0.386555	0.87395	0.077311
[10,15[	12.5	11	0.092437	0.966387	0.018487
[15,20[	17.5	3	0.02521	0.991597	0.005042
[20,25]	22.5	1	0.008403	1	0.001681

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