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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Mon, 27 Sep 2010 15:15:22 +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/2010/Sep/27/t12856005507agcove4h7ztkwj.htm/, Retrieved Sat, 04 May 2024 02:47:15 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=79564, Retrieved Sat, 04 May 2024 02:47:15 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

KDGP1W1

Estimated Impact

244

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

-       [Histogram] [taak1 b ] [2010-09-27 15:15:22] [d5f8481d835a4a90565680e4111cba41] [Current]

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Dataseries X:

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Histogram

Boxplots

1
1.1
0.8
0.7
0.6
0.6
0.6
0.5
0.6
0.7
0.6
0.6
0.6
0.5
0.6
0.7
0.7
0.7
0.7
0.7
0.6
0.6
0.7
0.7
0.8
0.9
1.1
1.2
1.2
1.2
1.2
1.3
1.2
1.3
1.3
1.3
1.2
1.1
0.8
0.8
0.8
0.8
0.8
0.8
0.9
0.6
0.7
0.7
-19
0.7
0.7
0.5
0.6
0.6
-18.1
0.5
0.6
0.7
0.6
0.6
-1.1
0.6
0.6
0.7
0.8
0.8
-1.7
0.8
0.8
0.9
0.8
0.8
0.2
0.9
1
1
0.9
0.9
0.1
0.9
0.9
1
1
1.1
1.1
1.1
1
0.9
1
1
1
1
1
0.9
1
0.9
0.6
0.9
0.9
0.7
0.6
0.6
-0.4
0.6
0.5
0.4
0.3
0.3
-1.1
0.3
0.1
0.3
0.2
0.1
-6
0.2
0
-0.1
-0.2
-0.2
-8.3
-0.3
-0.2
-0.1
-0.1
0
1.2
0
0.1
0.3
0.4
0.4
0.2
0.3
0.3
0.2
0.4
0.4
-3.1
0.5
0.5
0.4
0.4
0.4
1.9
0.4
0.6
0.6
0.7
0.7
-0.8
0.6
0.8
1.1
1.2
1.2
-4.7
0.9
1
1
1
0.9
-2.5
1.1
0.9
0.9
0.9
0.9
5.8
0.9
0.7
0.5
0.4
0.4
4.6
0.7

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' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79564&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79564&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79564&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' @ 72.249.127.135

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[-20,-18[	-19	2	0.011364	0.011364	0.005682
[-18,-16[	-17	0	0	0.011364	0
[-16,-14[	-15	0	0	0.011364	0
[-14,-12[	-13	0	0	0.011364	0
[-12,-10[	-11	0	0	0.011364	0
[-10,-8[	-9	1	0.005682	0.017045	0.002841
[-8,-6[	-7	0	0	0.017045	0
[-6,-4[	-5	2	0.011364	0.028409	0.005682
[-4,-2[	-3	2	0.011364	0.039773	0.005682
[-2,0[	-1	12	0.068182	0.107955	0.034091
[0,2[	1	155	0.880682	0.988636	0.440341
[2,4[	3	0	0	0.988636	0
[4,6]	5	2	0.011364	1	0.005682

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-20,-18[ & -19 & 2 & 0.011364 & 0.011364 & 0.005682 \tabularnewline
[-18,-16[ & -17 & 0 & 0 & 0.011364 & 0 \tabularnewline
[-16,-14[ & -15 & 0 & 0 & 0.011364 & 0 \tabularnewline
[-14,-12[ & -13 & 0 & 0 & 0.011364 & 0 \tabularnewline
[-12,-10[ & -11 & 0 & 0 & 0.011364 & 0 \tabularnewline
[-10,-8[ & -9 & 1 & 0.005682 & 0.017045 & 0.002841 \tabularnewline
[-8,-6[ & -7 & 0 & 0 & 0.017045 & 0 \tabularnewline
[-6,-4[ & -5 & 2 & 0.011364 & 0.028409 & 0.005682 \tabularnewline
[-4,-2[ & -3 & 2 & 0.011364 & 0.039773 & 0.005682 \tabularnewline
[-2,0[ & -1 & 12 & 0.068182 & 0.107955 & 0.034091 \tabularnewline
[0,2[ & 1 & 155 & 0.880682 & 0.988636 & 0.440341 \tabularnewline
[2,4[ & 3 & 0 & 0 & 0.988636 & 0 \tabularnewline
[4,6] & 5 & 2 & 0.011364 & 1 & 0.005682 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79564&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,-18[[/C][C]-19[/C][C]2[/C][C]0.011364[/C][C]0.011364[/C][C]0.005682[/C][/ROW]
[ROW][C][-18,-16[[/C][C]-17[/C][C]0[/C][C]0[/C][C]0.011364[/C][C]0[/C][/ROW]
[ROW][C][-16,-14[[/C][C]-15[/C][C]0[/C][C]0[/C][C]0.011364[/C][C]0[/C][/ROW]
[ROW][C][-14,-12[[/C][C]-13[/C][C]0[/C][C]0[/C][C]0.011364[/C][C]0[/C][/ROW]
[ROW][C][-12,-10[[/C][C]-11[/C][C]0[/C][C]0[/C][C]0.011364[/C][C]0[/C][/ROW]
[ROW][C][-10,-8[[/C][C]-9[/C][C]1[/C][C]0.005682[/C][C]0.017045[/C][C]0.002841[/C][/ROW]
[ROW][C][-8,-6[[/C][C]-7[/C][C]0[/C][C]0[/C][C]0.017045[/C][C]0[/C][/ROW]
[ROW][C][-6,-4[[/C][C]-5[/C][C]2[/C][C]0.011364[/C][C]0.028409[/C][C]0.005682[/C][/ROW]
[ROW][C][-4,-2[[/C][C]-3[/C][C]2[/C][C]0.011364[/C][C]0.039773[/C][C]0.005682[/C][/ROW]
[ROW][C][-2,0[[/C][C]-1[/C][C]12[/C][C]0.068182[/C][C]0.107955[/C][C]0.034091[/C][/ROW]
[ROW][C][0,2[[/C][C]1[/C][C]155[/C][C]0.880682[/C][C]0.988636[/C][C]0.440341[/C][/ROW]
[ROW][C][2,4[[/C][C]3[/C][C]0[/C][C]0[/C][C]0.988636[/C][C]0[/C][/ROW]
[ROW][C][4,6][/C][C]5[/C][C]2[/C][C]0.011364[/C][C]1[/C][C]0.005682[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79564&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79564&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,-18[	-19	2	0.011364	0.011364	0.005682
[-18,-16[	-17	0	0	0.011364	0
[-16,-14[	-15	0	0	0.011364	0
[-14,-12[	-13	0	0	0.011364	0
[-12,-10[	-11	0	0	0.011364	0
[-10,-8[	-9	1	0.005682	0.017045	0.002841
[-8,-6[	-7	0	0	0.017045	0
[-6,-4[	-5	2	0.011364	0.028409	0.005682
[-4,-2[	-3	2	0.011364	0.039773	0.005682
[-2,0[	-1	12	0.068182	0.107955	0.034091
[0,2[	1	155	0.880682	0.988636	0.440341
[2,4[	3	0	0	0.988636	0
[4,6]	5	2	0.011364	1	0.005682

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