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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Fri, 27 Sep 2013 08:16:49 -0400

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/2013/Sep/27/t1380284285mimx7g9fha5yo2d.htm/, Retrieved Fri, 03 May 2024 09:25:27 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212241, Retrieved Fri, 03 May 2024 09:25:27 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

116

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

-       [Histogram] [] [2013-09-27 12:16:49] [40534ca708dbd0a01437b63d5245c315] [Current]

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Dataseries X:

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Histogram

Boxplots

-2.5
4.4
13.7
12.3
13.4
2.2
1.7
-7.2
-4.8
-2.9
-2.4
-2.5
-5.3
-7.1
-8
-8.9
-7.7
-1.1
4
9.6
10.9
13
14.9
20.1
10.8
11
3.8
10.8
7.6
10.2
2.2
-0.1
-1.7
-4.8
-9.9
-13.5
-18.1
-18
-15.7
-15.2
-15.1
-17.9
-14.5
-9.4
-4.2
-2.2
4.5
12.4
15.8
11.5
14.1
18.8
26.1
27.9
25.4
23.4
11.5
9.9
8.1
12.6
8.2
5.4
1
-2.9
-3.7
-7
-7.2
-11.8
-2.1
1.2
2.5
4.8
-6.6
-16
-22.7
-17.7
-18.2
-18.9
-16
-12.2
-17.1
-18.6
-17.5
-24.9

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	'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212241&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212241&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212241&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	'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[-25,-20[	-22.5	2	0.02381	0.02381	0.004762
[-20,-15[	-17.5	14	0.166667	0.190476	0.033333
[-15,-10[	-12.5	4	0.047619	0.238095	0.009524
[-10,-5[	-7.5	11	0.130952	0.369048	0.02619
[-5,0[	-2.5	14	0.166667	0.535714	0.033333
[0,5[	2.5	11	0.130952	0.666667	0.02619
[5,10[	7.5	6	0.071429	0.738095	0.014286
[10,15[	12.5	15	0.178571	0.916667	0.035714
[15,20[	17.5	2	0.02381	0.940476	0.004762
[20,25[	22.5	2	0.02381	0.964286	0.004762
[25,30]	27.5	3	0.035714	1	0.007143

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-25,-20[ & -22.5 & 2 & 0.02381 & 0.02381 & 0.004762 \tabularnewline
[-20,-15[ & -17.5 & 14 & 0.166667 & 0.190476 & 0.033333 \tabularnewline
[-15,-10[ & -12.5 & 4 & 0.047619 & 0.238095 & 0.009524 \tabularnewline
[-10,-5[ & -7.5 & 11 & 0.130952 & 0.369048 & 0.02619 \tabularnewline
[-5,0[ & -2.5 & 14 & 0.166667 & 0.535714 & 0.033333 \tabularnewline
[0,5[ & 2.5 & 11 & 0.130952 & 0.666667 & 0.02619 \tabularnewline
[5,10[ & 7.5 & 6 & 0.071429 & 0.738095 & 0.014286 \tabularnewline
[10,15[ & 12.5 & 15 & 0.178571 & 0.916667 & 0.035714 \tabularnewline
[15,20[ & 17.5 & 2 & 0.02381 & 0.940476 & 0.004762 \tabularnewline
[20,25[ & 22.5 & 2 & 0.02381 & 0.964286 & 0.004762 \tabularnewline
[25,30] & 27.5 & 3 & 0.035714 & 1 & 0.007143 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212241&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][-25,-20[[/C][C]-22.5[/C][C]2[/C][C]0.02381[/C][C]0.02381[/C][C]0.004762[/C][/ROW]
[ROW][C][-20,-15[[/C][C]-17.5[/C][C]14[/C][C]0.166667[/C][C]0.190476[/C][C]0.033333[/C][/ROW]
[ROW][C][-15,-10[[/C][C]-12.5[/C][C]4[/C][C]0.047619[/C][C]0.238095[/C][C]0.009524[/C][/ROW]
[ROW][C][-10,-5[[/C][C]-7.5[/C][C]11[/C][C]0.130952[/C][C]0.369048[/C][C]0.02619[/C][/ROW]
[ROW][C][-5,0[[/C][C]-2.5[/C][C]14[/C][C]0.166667[/C][C]0.535714[/C][C]0.033333[/C][/ROW]
[ROW][C][0,5[[/C][C]2.5[/C][C]11[/C][C]0.130952[/C][C]0.666667[/C][C]0.02619[/C][/ROW]
[ROW][C][5,10[[/C][C]7.5[/C][C]6[/C][C]0.071429[/C][C]0.738095[/C][C]0.014286[/C][/ROW]
[ROW][C][10,15[[/C][C]12.5[/C][C]15[/C][C]0.178571[/C][C]0.916667[/C][C]0.035714[/C][/ROW]
[ROW][C][15,20[[/C][C]17.5[/C][C]2[/C][C]0.02381[/C][C]0.940476[/C][C]0.004762[/C][/ROW]
[ROW][C][20,25[[/C][C]22.5[/C][C]2[/C][C]0.02381[/C][C]0.964286[/C][C]0.004762[/C][/ROW]
[ROW][C][25,30][/C][C]27.5[/C][C]3[/C][C]0.035714[/C][C]1[/C][C]0.007143[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212241&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212241&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
[-25,-20[	-22.5	2	0.02381	0.02381	0.004762
[-20,-15[	-17.5	14	0.166667	0.190476	0.033333
[-15,-10[	-12.5	4	0.047619	0.238095	0.009524
[-10,-5[	-7.5	11	0.130952	0.369048	0.02619
[-5,0[	-2.5	14	0.166667	0.535714	0.033333
[0,5[	2.5	11	0.130952	0.666667	0.02619
[5,10[	7.5	6	0.071429	0.738095	0.014286
[10,15[	12.5	15	0.178571	0.916667	0.035714
[15,20[	17.5	2	0.02381	0.940476	0.004762
[20,25[	22.5	2	0.02381	0.964286	0.004762
[25,30]	27.5	3	0.035714	1	0.007143

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):

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