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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

Sun, 16 Dec 2012 17:05:14 -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/Dec/16/t1355695527x6fs0vp7r4frk9j.htm/, Retrieved Thu, 25 Apr 2024 00:17:56 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=200632, Retrieved Thu, 25 Apr 2024 00:17:56 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

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

-       [Histogram] [Histogram Residuals] [2012-12-16 22:05:14] [acfd67cb214b61d0a5e0fb4c8c6ef02a] [Current]

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Dataseries X:

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Histogram

Boxplots

-3,12
0,03
2,83
3,26
-1,45
-1,88
3,94
-1,59
-1,88
2,57
0,80
-0,20
0,64
0,69
-0,35
-0,02
0,45
3,87
2,59
0,80
0,76
1,29
2,58
1,32
2,23
0,12
1,04
-1,04
0,56
0,04
-0,59
-0,18
-1,11
0,57
-1,64
-5,90
-0,87
-1,78
1,78
1,42
0,95
-1,56
2,09
-0,21
-0,90
-4,59
-2,43
0,07
0,80
-2,02
-0,49
-0,11
-2,68
0,81
-2,52
1,37
-0,09
0,92
-0,32
1,87
0,57
0,02
-0,47
-0,37
0,56
1,09
1,90
3,33
-3,88
0,58
-3,45
-0,32
1,46
0,85
0,27
3,11
-0,37
1,55
-1,84
-0,03
0,42
3,23
0,31
-1,02
0,26
1,73
-0,22
0,66
1,42
0,79
-1,48
-0,01
0,51
-0,29
-2,18
0,78
0,14
1,82
-0,16
-0,34
-1,37
1,19
2,59
0,41
1,44
-2,40
0,93
0,06
1,40
-0,31
0,99
0,10
2,45
-2,00
-2,94
1,33
-1,55
0,98
-1,99
0,27
-1,33
0,30
-3,02
-1,13
-1,06
-0,87
-0,51
0,66
1,11
-3,04
1,76
-3,40
1,82
-2,00
-1,74
-0,19
0,64
0,47
-2,26
-1,45
-5,45
2,81
1,59
0,36
1,07
-4,25
1,98
-2,28
0,76
-0,12
-3,21
-1,53
1,80
3,91
1,45
-2,59
-0,01
1,29
1,11
0,83
-0,60
0,31

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	'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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=200632&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=200632&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=200632&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	'George Udny Yule' @ yule.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[-6,-5[	-5.5	2	0.012346	0.012346	0.012346
[-5,-4[	-4.5	2	0.012346	0.024691	0.012346
[-4,-3[	-3.5	7	0.04321	0.067901	0.04321
[-3,-2[	-2.5	10	0.061728	0.12963	0.061728
[-2,-1[	-1.5	23	0.141975	0.271605	0.141975
[-1,0[	-0.5	29	0.179012	0.450617	0.179012
[0,1[	0.5	45	0.277778	0.728395	0.277778
[1,2[	1.5	28	0.17284	0.901235	0.17284
[2,3[	2.5	9	0.055556	0.95679	0.055556
[3,4]	3.5	7	0.04321	1	0.04321

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-6,-5[ & -5.5 & 2 & 0.012346 & 0.012346 & 0.012346 \tabularnewline
[-5,-4[ & -4.5 & 2 & 0.012346 & 0.024691 & 0.012346 \tabularnewline
[-4,-3[ & -3.5 & 7 & 0.04321 & 0.067901 & 0.04321 \tabularnewline
[-3,-2[ & -2.5 & 10 & 0.061728 & 0.12963 & 0.061728 \tabularnewline
[-2,-1[ & -1.5 & 23 & 0.141975 & 0.271605 & 0.141975 \tabularnewline
[-1,0[ & -0.5 & 29 & 0.179012 & 0.450617 & 0.179012 \tabularnewline
[0,1[ & 0.5 & 45 & 0.277778 & 0.728395 & 0.277778 \tabularnewline
[1,2[ & 1.5 & 28 & 0.17284 & 0.901235 & 0.17284 \tabularnewline
[2,3[ & 2.5 & 9 & 0.055556 & 0.95679 & 0.055556 \tabularnewline
[3,4] & 3.5 & 7 & 0.04321 & 1 & 0.04321 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=200632&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][-6,-5[[/C][C]-5.5[/C][C]2[/C][C]0.012346[/C][C]0.012346[/C][C]0.012346[/C][/ROW]
[ROW][C][-5,-4[[/C][C]-4.5[/C][C]2[/C][C]0.012346[/C][C]0.024691[/C][C]0.012346[/C][/ROW]
[ROW][C][-4,-3[[/C][C]-3.5[/C][C]7[/C][C]0.04321[/C][C]0.067901[/C][C]0.04321[/C][/ROW]
[ROW][C][-3,-2[[/C][C]-2.5[/C][C]10[/C][C]0.061728[/C][C]0.12963[/C][C]0.061728[/C][/ROW]
[ROW][C][-2,-1[[/C][C]-1.5[/C][C]23[/C][C]0.141975[/C][C]0.271605[/C][C]0.141975[/C][/ROW]
[ROW][C][-1,0[[/C][C]-0.5[/C][C]29[/C][C]0.179012[/C][C]0.450617[/C][C]0.179012[/C][/ROW]
[ROW][C][0,1[[/C][C]0.5[/C][C]45[/C][C]0.277778[/C][C]0.728395[/C][C]0.277778[/C][/ROW]
[ROW][C][1,2[[/C][C]1.5[/C][C]28[/C][C]0.17284[/C][C]0.901235[/C][C]0.17284[/C][/ROW]
[ROW][C][2,3[[/C][C]2.5[/C][C]9[/C][C]0.055556[/C][C]0.95679[/C][C]0.055556[/C][/ROW]
[ROW][C][3,4][/C][C]3.5[/C][C]7[/C][C]0.04321[/C][C]1[/C][C]0.04321[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=200632&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=200632&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
[-6,-5[	-5.5	2	0.012346	0.012346	0.012346
[-5,-4[	-4.5	2	0.012346	0.024691	0.012346
[-4,-3[	-3.5	7	0.04321	0.067901	0.04321
[-3,-2[	-2.5	10	0.061728	0.12963	0.061728
[-2,-1[	-1.5	23	0.141975	0.271605	0.141975
[-1,0[	-0.5	29	0.179012	0.450617	0.179012
[0,1[	0.5	45	0.277778	0.728395	0.277778
[1,2[	1.5	28	0.17284	0.901235	0.17284
[2,3[	2.5	9	0.055556	0.95679	0.055556
[3,4]	3.5	7	0.04321	1	0.04321

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par2 = grey ; par3 = FALSE ; par4 = Interval/Ratio ;

Parameters (R input):

par1 = ; par2 = grey ; par3 = FALSE ; par4 = Interval/Ratio ;

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

par4 <- 'Interval/Ratio'
par3 <- 'FALSE'
par2 <- 'grey'
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