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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, 12 Apr 2015 15:00:18 +0100

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/Apr/12/t1428847710smobv1924ddpyps.htm/, Retrieved Wed, 08 May 2024 07:03:08 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=278708, Retrieved Wed, 08 May 2024 07:03:08 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

189

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

-     [Univariate Data Series] [Datareeks - prijs...] [2015-01-29 15:57:10] [32313e1485a196be6cd29129c21c8899]
- RMPD    [Histogram] [frequentietabel c...] [2015-04-12 14:00:18] [24a1c9f91cd9dd71c8b0e9e460386711] [Current]

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Dataseries X:

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Histogram

Boxplots

12,8
12,1
11,4
11,4
10,6
10,4
10,9
11,6
13,3
15,2
17,4
19,1
19,9
19,4
18,2
15,8
13,5
12,1
10,3
8,8
8,2
6,8
5,9
4,9
3,9
3,6
2,8
4
4,2
4,2
4,8
4
3,8
4
3,7
4
4,6
4,6
4,6
4,5
4,1
4,1
4,4
4,2
4,4
3,2
2,8
1,7
-0,2
-2,9
-5,2
-5,3
-4,8
-2,2
-0,8
-1,1
-1,5
-2
-2,8
-3,4
-4,1
-5,5
-8,6
-7,6
-8,6
-8,7
-4,6
-4,3
-1,5
1,2
1,8
2,2

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=278708&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=278708&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=278708&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
[-10,-5[	-7.5	7	0.097222	0.097222	0.019444
[-5,0[	-2.5	14	0.194444	0.291667	0.038889
[0,5[	2.5	28	0.388889	0.680556	0.077778
[5,10[	7.5	4	0.055556	0.736111	0.011111
[10,15[	12.5	12	0.166667	0.902778	0.033333
[15,20]	17.5	7	0.097222	1	0.019444

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-10,-5[ & -7.5 & 7 & 0.097222 & 0.097222 & 0.019444 \tabularnewline
[-5,0[ & -2.5 & 14 & 0.194444 & 0.291667 & 0.038889 \tabularnewline
[0,5[ & 2.5 & 28 & 0.388889 & 0.680556 & 0.077778 \tabularnewline
[5,10[ & 7.5 & 4 & 0.055556 & 0.736111 & 0.011111 \tabularnewline
[10,15[ & 12.5 & 12 & 0.166667 & 0.902778 & 0.033333 \tabularnewline
[15,20] & 17.5 & 7 & 0.097222 & 1 & 0.019444 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=278708&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][-10,-5[[/C][C]-7.5[/C][C]7[/C][C]0.097222[/C][C]0.097222[/C][C]0.019444[/C][/ROW]
[ROW][C][-5,0[[/C][C]-2.5[/C][C]14[/C][C]0.194444[/C][C]0.291667[/C][C]0.038889[/C][/ROW]
[ROW][C][0,5[[/C][C]2.5[/C][C]28[/C][C]0.388889[/C][C]0.680556[/C][C]0.077778[/C][/ROW]
[ROW][C][5,10[[/C][C]7.5[/C][C]4[/C][C]0.055556[/C][C]0.736111[/C][C]0.011111[/C][/ROW]
[ROW][C][10,15[[/C][C]12.5[/C][C]12[/C][C]0.166667[/C][C]0.902778[/C][C]0.033333[/C][/ROW]
[ROW][C][15,20][/C][C]17.5[/C][C]7[/C][C]0.097222[/C][C]1[/C][C]0.019444[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=278708&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=278708&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
[-10,-5[	-7.5	7	0.097222	0.097222	0.019444
[-5,0[	-2.5	14	0.194444	0.291667	0.038889
[0,5[	2.5	28	0.388889	0.680556	0.077778
[5,10[	7.5	4	0.055556	0.736111	0.011111
[10,15[	12.5	12	0.166667	0.902778	0.033333
[15,20]	17.5	7	0.097222	1	0.019444

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