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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Sun, 09 Feb 2014 08:27:29 -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/2014/Feb/09/t1391952510cab60g0l9gcstiu.htm/, Retrieved Thu, 16 May 2024 19:20:15 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=233418, Retrieved Thu, 16 May 2024 19:20:15 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

122

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

-     [Histogram] [] [2014-02-04 13:09:47] [6261dc9631ed0b67e409910aed7f2e7e]
- R PD    [Histogram] [] [2014-02-09 13:27:29] [45a206086251edfa7ba367c121fe1722] [Current]

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Dataseries X:

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Histogram

Boxplots

6
6.7
-0.6
5.8
16.4
1.5
5.1
14.7
4.3
1.5
9.1
4.3
5.7
13
14.5
9.7
-4.7
7.3
5.2
-2.5
11.5
4.9
-2.4
-0.3
4.4
7.9
-9.7
-4.1
16.4
-4.9
3.5
3.8
-0.2
3.1
0.7
-2.8
5.9
-5.3
-2.9
6.6
-8.1
1.3
6.9
-7.2
-1.9
4
-5.7
3.9
-7.6
-0.9
7.3
-3.7
-2.5
9.3
1.3
9.5
11.3
-1.7
8
-4.8
1.6
1.9
-0.9
5.5
1.7
-5.4
1.9
0.2
-13.3
-8.2
0.2
5.7
-1.2
-2.8
5.5
-17.3
1.4
-2.2
-8.6
-5
4.1
0.7
-4.2
-2.3

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	'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233418&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233418&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233418&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	'Gertrude Mary Cox' @ cox.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[-20,-15[	-17.5	1	0.011905	0.011905	0.002381
[-15,-10[	-12.5	1	0.011905	0.02381	0.002381
[-10,-5[	-7.5	9	0.107143	0.130952	0.021429
[-5,0[	-2.5	23	0.27381	0.404762	0.054762
[0,5[	2.5	23	0.27381	0.678571	0.054762
[5,10[	7.5	20	0.238095	0.916667	0.047619
[10,15[	12.5	5	0.059524	0.97619	0.011905
[15,20]	17.5	2	0.02381	1	0.004762

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-20,-15[ & -17.5 & 1 & 0.011905 & 0.011905 & 0.002381 \tabularnewline
[-15,-10[ & -12.5 & 1 & 0.011905 & 0.02381 & 0.002381 \tabularnewline
[-10,-5[ & -7.5 & 9 & 0.107143 & 0.130952 & 0.021429 \tabularnewline
[-5,0[ & -2.5 & 23 & 0.27381 & 0.404762 & 0.054762 \tabularnewline
[0,5[ & 2.5 & 23 & 0.27381 & 0.678571 & 0.054762 \tabularnewline
[5,10[ & 7.5 & 20 & 0.238095 & 0.916667 & 0.047619 \tabularnewline
[10,15[ & 12.5 & 5 & 0.059524 & 0.97619 & 0.011905 \tabularnewline
[15,20] & 17.5 & 2 & 0.02381 & 1 & 0.004762 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233418&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][-20,-15[[/C][C]-17.5[/C][C]1[/C][C]0.011905[/C][C]0.011905[/C][C]0.002381[/C][/ROW]
[ROW][C][-15,-10[[/C][C]-12.5[/C][C]1[/C][C]0.011905[/C][C]0.02381[/C][C]0.002381[/C][/ROW]
[ROW][C][-10,-5[[/C][C]-7.5[/C][C]9[/C][C]0.107143[/C][C]0.130952[/C][C]0.021429[/C][/ROW]
[ROW][C][-5,0[[/C][C]-2.5[/C][C]23[/C][C]0.27381[/C][C]0.404762[/C][C]0.054762[/C][/ROW]
[ROW][C][0,5[[/C][C]2.5[/C][C]23[/C][C]0.27381[/C][C]0.678571[/C][C]0.054762[/C][/ROW]
[ROW][C][5,10[[/C][C]7.5[/C][C]20[/C][C]0.238095[/C][C]0.916667[/C][C]0.047619[/C][/ROW]
[ROW][C][10,15[[/C][C]12.5[/C][C]5[/C][C]0.059524[/C][C]0.97619[/C][C]0.011905[/C][/ROW]
[ROW][C][15,20][/C][C]17.5[/C][C]2[/C][C]0.02381[/C][C]1[/C][C]0.004762[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233418&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233418&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
[-20,-15[	-17.5	1	0.011905	0.011905	0.002381
[-15,-10[	-12.5	1	0.011905	0.02381	0.002381
[-10,-5[	-7.5	9	0.107143	0.130952	0.021429
[-5,0[	-2.5	23	0.27381	0.404762	0.054762
[0,5[	2.5	23	0.27381	0.678571	0.054762
[5,10[	7.5	20	0.238095	0.916667	0.047619
[10,15[	12.5	5	0.059524	0.97619	0.011905
[15,20]	17.5	2	0.02381	1	0.004762

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 8 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 8 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

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

par4 <- 'Unknown'
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