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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Tue, 26 May 2015 16:38:55 +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/May/26/t14326548113z6l18i7x4ghd6a.htm/, Retrieved Tue, 30 Apr 2024 09:56:05 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=279399, Retrieved Tue, 30 Apr 2024 09:56:05 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

133

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

-     [Univariate Data Series] [Gemiddelde wekeli...] [2015-02-02 09:02:31] [d40495cfc7082fe5ebcd6aaa4e935c97]
- RMPD    [Histogram] [Gezondheidsindex ...] [2015-05-26 15:38:55] [0d8529ada52922935dd1fcf0fb375c74] [Current]

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Dataseries X:

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Histogram

Boxplots

2.8
3.08
3.89
3.68
4.62
5.07
5.22
4.94
5.14
4.8
3.89
3.54
3.34
2.8
1.6
1.56
0.68
-0.11
-0.66
-0.2
-0.62
-0.59
-0.3
-0.26
-0.08
0.13
0.94
1.05
1.59
2.03
2.15
2.05
2.56
2.54
2.53
2.6
2.71
2.82
2.92
2.87
2.89
3.27
3.32
3.14
3.04
3.09
3.39
3.24
3.38
3.41
3.14
2.96
2.74
2.21
2.24
2.56
2.39
2.49
2.17
2.16
1.48
1.09
1.25
1.27
1.39
1.69
1.55
1.19
1.08
0.94
0.98
1.01
1.25
1.17
1.02
0.67
0.26
0.14
0.22
0.02
0.03
0.1
-0.01
-0.01

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	0 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 & 0 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279399&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]0 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=279399&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279399&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	0 seconds
R Server	'George Udny Yule' @ yule.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[-1,-0.5[	-0.75	3	0.035714	0.035714	0.071429
[-0.5,0[	-0.25	7	0.083333	0.119048	0.166667
[0,0.5[	0.25	7	0.083333	0.202381	0.166667
[0.5,1[	0.75	5	0.059524	0.261905	0.119048
[1,1.5[	1.25	12	0.142857	0.404762	0.285714
[1.5,2[	1.75	5	0.059524	0.464286	0.119048
[2,2.5[	2.25	9	0.107143	0.571429	0.214286
[2.5,3[	2.75	14	0.166667	0.738095	0.333333
[3,3.5[	3.25	12	0.142857	0.880952	0.285714
[3.5,4[	3.75	4	0.047619	0.928571	0.095238
[4,4.5[	4.25	0	0	0.928571	0
[4.5,5[	4.75	3	0.035714	0.964286	0.071429
[5,5.5]	5.25	3	0.035714	1	0.071429

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-1,-0.5[ & -0.75 & 3 & 0.035714 & 0.035714 & 0.071429 \tabularnewline
[-0.5,0[ & -0.25 & 7 & 0.083333 & 0.119048 & 0.166667 \tabularnewline
[0,0.5[ & 0.25 & 7 & 0.083333 & 0.202381 & 0.166667 \tabularnewline
[0.5,1[ & 0.75 & 5 & 0.059524 & 0.261905 & 0.119048 \tabularnewline
[1,1.5[ & 1.25 & 12 & 0.142857 & 0.404762 & 0.285714 \tabularnewline
[1.5,2[ & 1.75 & 5 & 0.059524 & 0.464286 & 0.119048 \tabularnewline
[2,2.5[ & 2.25 & 9 & 0.107143 & 0.571429 & 0.214286 \tabularnewline
[2.5,3[ & 2.75 & 14 & 0.166667 & 0.738095 & 0.333333 \tabularnewline
[3,3.5[ & 3.25 & 12 & 0.142857 & 0.880952 & 0.285714 \tabularnewline
[3.5,4[ & 3.75 & 4 & 0.047619 & 0.928571 & 0.095238 \tabularnewline
[4,4.5[ & 4.25 & 0 & 0 & 0.928571 & 0 \tabularnewline
[4.5,5[ & 4.75 & 3 & 0.035714 & 0.964286 & 0.071429 \tabularnewline
[5,5.5] & 5.25 & 3 & 0.035714 & 1 & 0.071429 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279399&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][-1,-0.5[[/C][C]-0.75[/C][C]3[/C][C]0.035714[/C][C]0.035714[/C][C]0.071429[/C][/ROW]
[ROW][C][-0.5,0[[/C][C]-0.25[/C][C]7[/C][C]0.083333[/C][C]0.119048[/C][C]0.166667[/C][/ROW]
[ROW][C][0,0.5[[/C][C]0.25[/C][C]7[/C][C]0.083333[/C][C]0.202381[/C][C]0.166667[/C][/ROW]
[ROW][C][0.5,1[[/C][C]0.75[/C][C]5[/C][C]0.059524[/C][C]0.261905[/C][C]0.119048[/C][/ROW]
[ROW][C][1,1.5[[/C][C]1.25[/C][C]12[/C][C]0.142857[/C][C]0.404762[/C][C]0.285714[/C][/ROW]
[ROW][C][1.5,2[[/C][C]1.75[/C][C]5[/C][C]0.059524[/C][C]0.464286[/C][C]0.119048[/C][/ROW]
[ROW][C][2,2.5[[/C][C]2.25[/C][C]9[/C][C]0.107143[/C][C]0.571429[/C][C]0.214286[/C][/ROW]
[ROW][C][2.5,3[[/C][C]2.75[/C][C]14[/C][C]0.166667[/C][C]0.738095[/C][C]0.333333[/C][/ROW]
[ROW][C][3,3.5[[/C][C]3.25[/C][C]12[/C][C]0.142857[/C][C]0.880952[/C][C]0.285714[/C][/ROW]
[ROW][C][3.5,4[[/C][C]3.75[/C][C]4[/C][C]0.047619[/C][C]0.928571[/C][C]0.095238[/C][/ROW]
[ROW][C][4,4.5[[/C][C]4.25[/C][C]0[/C][C]0[/C][C]0.928571[/C][C]0[/C][/ROW]
[ROW][C][4.5,5[[/C][C]4.75[/C][C]3[/C][C]0.035714[/C][C]0.964286[/C][C]0.071429[/C][/ROW]
[ROW][C][5,5.5][/C][C]5.25[/C][C]3[/C][C]0.035714[/C][C]1[/C][C]0.071429[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279399&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279399&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
[-1,-0.5[	-0.75	3	0.035714	0.035714	0.071429
[-0.5,0[	-0.25	7	0.083333	0.119048	0.166667
[0,0.5[	0.25	7	0.083333	0.202381	0.166667
[0.5,1[	0.75	5	0.059524	0.261905	0.119048
[1,1.5[	1.25	12	0.142857	0.404762	0.285714
[1.5,2[	1.75	5	0.059524	0.464286	0.119048
[2,2.5[	2.25	9	0.107143	0.571429	0.214286
[2.5,3[	2.75	14	0.166667	0.738095	0.333333
[3,3.5[	3.25	12	0.142857	0.880952	0.285714
[3.5,4[	3.75	4	0.047619	0.928571	0.095238
[4,4.5[	4.25	0	0	0.928571	0
[4.5,5[	4.75	3	0.035714	0.964286	0.071429
[5,5.5]	5.25	3	0.035714	1	0.071429

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 20 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 20 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

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

par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- '20'
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