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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, 21 Sep 2014 18:49:04 +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/2014/Sep/21/t1411321913jjkjvmrxxq0v1nm.htm/, Retrieved Fri, 10 May 2024 20:37:43 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=236030, Retrieved Fri, 10 May 2024 20:37:43 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

111

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

-       [Histogram] [] [2014-09-21 17:49:04] [39f63263aa230394eb25f176f7b01700] [Current]

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Dataseries X:

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Histogram

Boxplots

1.23
1.3
1.79
2.25
2.63
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

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	'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236030&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236030&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236030&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	'Gwilym Jenkins' @ jenkins.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[-1,0[	-0.5	8	0.109589	0.109589	0.109589
[0,1[	0.5	3	0.041096	0.150685	0.041096
[1,2[	1.5	15	0.205479	0.356164	0.205479
[2,3[	2.5	25	0.342466	0.69863	0.342466
[3,4[	3.5	16	0.219178	0.917808	0.219178
[4,5[	4.5	3	0.041096	0.958904	0.041096
[5,6]	5.5	3	0.041096	1	0.041096

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-1,0[ & -0.5 & 8 & 0.109589 & 0.109589 & 0.109589 \tabularnewline
[0,1[ & 0.5 & 3 & 0.041096 & 0.150685 & 0.041096 \tabularnewline
[1,2[ & 1.5 & 15 & 0.205479 & 0.356164 & 0.205479 \tabularnewline
[2,3[ & 2.5 & 25 & 0.342466 & 0.69863 & 0.342466 \tabularnewline
[3,4[ & 3.5 & 16 & 0.219178 & 0.917808 & 0.219178 \tabularnewline
[4,5[ & 4.5 & 3 & 0.041096 & 0.958904 & 0.041096 \tabularnewline
[5,6] & 5.5 & 3 & 0.041096 & 1 & 0.041096 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236030&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[[/C][C]-0.5[/C][C]8[/C][C]0.109589[/C][C]0.109589[/C][C]0.109589[/C][/ROW]
[ROW][C][0,1[[/C][C]0.5[/C][C]3[/C][C]0.041096[/C][C]0.150685[/C][C]0.041096[/C][/ROW]
[ROW][C][1,2[[/C][C]1.5[/C][C]15[/C][C]0.205479[/C][C]0.356164[/C][C]0.205479[/C][/ROW]
[ROW][C][2,3[[/C][C]2.5[/C][C]25[/C][C]0.342466[/C][C]0.69863[/C][C]0.342466[/C][/ROW]
[ROW][C][3,4[[/C][C]3.5[/C][C]16[/C][C]0.219178[/C][C]0.917808[/C][C]0.219178[/C][/ROW]
[ROW][C][4,5[[/C][C]4.5[/C][C]3[/C][C]0.041096[/C][C]0.958904[/C][C]0.041096[/C][/ROW]
[ROW][C][5,6][/C][C]5.5[/C][C]3[/C][C]0.041096[/C][C]1[/C][C]0.041096[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236030&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236030&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[	-0.5	8	0.109589	0.109589	0.109589
[0,1[	0.5	3	0.041096	0.150685	0.041096
[1,2[	1.5	15	0.205479	0.356164	0.205479
[2,3[	2.5	25	0.342466	0.69863	0.342466
[3,4[	3.5	16	0.219178	0.917808	0.219178
[4,5[	4.5	3	0.041096	0.958904	0.041096
[5,6]	5.5	3	0.041096	1	0.041096

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par2 = blue ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = ; par2 = blue ; 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