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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Wed, 04 Feb 2015 10:23:44 +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/04/t1423045586u31y6hgwhmms2qi.htm/, Retrieved Sat, 18 May 2024 07:04:42 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=276584, Retrieved Sat, 18 May 2024 07:04:42 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

147

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

-     [Univariate Data Series] [Aandeel textiel e...] [2015-01-26 10:56:39] [789d1192644f8dd118bad6e04911be7e]
- RMP     [Histogram] [] [2015-02-04 10:23:44] [3b0947f879d0db9a6034293524e1b6d0] [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
-3.4
-4.2
-14.2
1.6
-4.9
-1.8
-0.5
-2.3
-5.3
-0.2
5.1
-1.5

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

\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
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=276584&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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=276584&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276584&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

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[-20,-15[	-17.5	1	0.010417	0.010417	0.002083
[-15,-10[	-12.5	2	0.020833	0.03125	0.004167
[-10,-5[	-7.5	10	0.104167	0.135417	0.020833
[-5,0[	-2.5	31	0.322917	0.458333	0.064583
[0,5[	2.5	24	0.25	0.708333	0.05
[5,10[	7.5	21	0.21875	0.927083	0.04375
[10,15[	12.5	5	0.052083	0.979167	0.010417
[15,20]	17.5	2	0.020833	1	0.004167

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-20,-15[ & -17.5 & 1 & 0.010417 & 0.010417 & 0.002083 \tabularnewline
[-15,-10[ & -12.5 & 2 & 0.020833 & 0.03125 & 0.004167 \tabularnewline
[-10,-5[ & -7.5 & 10 & 0.104167 & 0.135417 & 0.020833 \tabularnewline
[-5,0[ & -2.5 & 31 & 0.322917 & 0.458333 & 0.064583 \tabularnewline
[0,5[ & 2.5 & 24 & 0.25 & 0.708333 & 0.05 \tabularnewline
[5,10[ & 7.5 & 21 & 0.21875 & 0.927083 & 0.04375 \tabularnewline
[10,15[ & 12.5 & 5 & 0.052083 & 0.979167 & 0.010417 \tabularnewline
[15,20] & 17.5 & 2 & 0.020833 & 1 & 0.004167 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=276584&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]0.010417[/C][C]0.010417[/C][C]0.002083[/C][/ROW]
[ROW][C][-15,-10[[/C][C]-12.5[/C][C]2[/C][C]0.020833[/C][C]0.03125[/C][C]0.004167[/C][/ROW]
[ROW][C][-10,-5[[/C][C]-7.5[/C][C]10[/C][C]0.104167[/C][C]0.135417[/C][C]0.020833[/C][/ROW]
[ROW][C][-5,0[[/C][C]-2.5[/C][C]31[/C][C]0.322917[/C][C]0.458333[/C][C]0.064583[/C][/ROW]
[ROW][C][0,5[[/C][C]2.5[/C][C]24[/C][C]0.25[/C][C]0.708333[/C][C]0.05[/C][/ROW]
[ROW][C][5,10[[/C][C]7.5[/C][C]21[/C][C]0.21875[/C][C]0.927083[/C][C]0.04375[/C][/ROW]
[ROW][C][10,15[[/C][C]12.5[/C][C]5[/C][C]0.052083[/C][C]0.979167[/C][C]0.010417[/C][/ROW]
[ROW][C][15,20][/C][C]17.5[/C][C]2[/C][C]0.020833[/C][C]1[/C][C]0.004167[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=276584&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276584&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	0.010417	0.010417	0.002083
[-15,-10[	-12.5	2	0.020833	0.03125	0.004167
[-10,-5[	-7.5	10	0.104167	0.135417	0.020833
[-5,0[	-2.5	31	0.322917	0.458333	0.064583
[0,5[	2.5	24	0.25	0.708333	0.05
[5,10[	7.5	21	0.21875	0.927083	0.04375
[10,15[	12.5	5	0.052083	0.979167	0.010417
[15,20]	17.5	2	0.020833	1	0.004167

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