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of Irreproducible Research!

Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Sat, 22 Sep 2012 10:40:57 -0400

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/2012/Sep/22/t1348324933qkbdxw96qku1538.htm/, Retrieved Mon, 29 Apr 2024 15:35:55 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=169728, Retrieved Mon, 29 Apr 2024 15:35:55 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

179

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

-       [Histogram] [] [2012-09-22 14:40:57] [19a5fa3cc9952272699ac0aa748608b8] [Current]

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Dataseries X:

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Histogram

Boxplots

3.5
2.9
3.1
1.8
2.1
2.2
2.2
1.6
1.6
1.9
1.8
1.4
1.1
1.3
2
2.4
1.4
2.2
2.7
2.2
3.2
2.6
2.3
2.3
2.5
2.1
1.1
0.7
1.2
0.3
-1
-1.1
-1.6
-1.3
-1.6
-1.3
-1.2
-1.1
0
0.7
1.6
2.4
3.3
2.6
2.8
2.8
3.4
3.6
3.7
4.4
4
3.9
3.1
3.8
3.3
3.3
3.1
3
3.1
2.1
2.4
2.8
3
3.1
3.9
2.9
2.8
3.7
3.7
4.4
4.2
4.6
3.9
3.2
2.1
1.5
1.2
0.6
1.7
2
1.5
1.5
1.1
1
1
0.3
0.5
1
0.8
1.3
0.7
-0.6
0
-1
-1.2
-1.5
-0.2
0.7
1.2
1.7
1.6
1.7
1.9
2.9
3.2
3.8
3.8
4.2
3.3
2.7
2.5
1.1
0.9
0.8
0.3
-0.7
1.3
1.9
1.7
1.7
1.4
0.9
1.2
2.1
4.2
5.6
7.1
8.4
6.3
6.1
7.5
7.5
7.6
8.5
8.8
8.9
7.1
6.6
4.6
4.5
3.9
3.5
3.2
3.3
3.3
2.6
1.6
0.7
0.2
-0.5
0
-0.5
-0.3
-0.2
-0.4
-1.2
-1.6
-1.4
-0.7
0.4
1.2
1.7
1.5
1.1
0.9
0.6
1.1
1.5
2.4

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=169728&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=169728&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=169728&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
[-2,-1[	-1.5	12	0.071006	0.071006	0.071006
[-1,0[	-0.5	11	0.065089	0.136095	0.065089
[0,1[	0.5	21	0.12426	0.260355	0.12426
[1,2[	1.5	41	0.242604	0.502959	0.242604
[2,3[	2.5	31	0.183432	0.686391	0.183432
[3,4[	3.5	31	0.183432	0.869822	0.183432
[4,5[	4.5	9	0.053254	0.923077	0.053254
[5,6[	5.5	1	0.005917	0.928994	0.005917
[6,7[	6.5	3	0.017751	0.946746	0.017751
[7,8[	7.5	5	0.029586	0.976331	0.029586
[8,9]	8.5	4	0.023669	1	0.023669

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-2,-1[ & -1.5 & 12 & 0.071006 & 0.071006 & 0.071006 \tabularnewline
[-1,0[ & -0.5 & 11 & 0.065089 & 0.136095 & 0.065089 \tabularnewline
[0,1[ & 0.5 & 21 & 0.12426 & 0.260355 & 0.12426 \tabularnewline
[1,2[ & 1.5 & 41 & 0.242604 & 0.502959 & 0.242604 \tabularnewline
[2,3[ & 2.5 & 31 & 0.183432 & 0.686391 & 0.183432 \tabularnewline
[3,4[ & 3.5 & 31 & 0.183432 & 0.869822 & 0.183432 \tabularnewline
[4,5[ & 4.5 & 9 & 0.053254 & 0.923077 & 0.053254 \tabularnewline
[5,6[ & 5.5 & 1 & 0.005917 & 0.928994 & 0.005917 \tabularnewline
[6,7[ & 6.5 & 3 & 0.017751 & 0.946746 & 0.017751 \tabularnewline
[7,8[ & 7.5 & 5 & 0.029586 & 0.976331 & 0.029586 \tabularnewline
[8,9] & 8.5 & 4 & 0.023669 & 1 & 0.023669 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=169728&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][-2,-1[[/C][C]-1.5[/C][C]12[/C][C]0.071006[/C][C]0.071006[/C][C]0.071006[/C][/ROW]
[ROW][C][-1,0[[/C][C]-0.5[/C][C]11[/C][C]0.065089[/C][C]0.136095[/C][C]0.065089[/C][/ROW]
[ROW][C][0,1[[/C][C]0.5[/C][C]21[/C][C]0.12426[/C][C]0.260355[/C][C]0.12426[/C][/ROW]
[ROW][C][1,2[[/C][C]1.5[/C][C]41[/C][C]0.242604[/C][C]0.502959[/C][C]0.242604[/C][/ROW]
[ROW][C][2,3[[/C][C]2.5[/C][C]31[/C][C]0.183432[/C][C]0.686391[/C][C]0.183432[/C][/ROW]
[ROW][C][3,4[[/C][C]3.5[/C][C]31[/C][C]0.183432[/C][C]0.869822[/C][C]0.183432[/C][/ROW]
[ROW][C][4,5[[/C][C]4.5[/C][C]9[/C][C]0.053254[/C][C]0.923077[/C][C]0.053254[/C][/ROW]
[ROW][C][5,6[[/C][C]5.5[/C][C]1[/C][C]0.005917[/C][C]0.928994[/C][C]0.005917[/C][/ROW]
[ROW][C][6,7[[/C][C]6.5[/C][C]3[/C][C]0.017751[/C][C]0.946746[/C][C]0.017751[/C][/ROW]
[ROW][C][7,8[[/C][C]7.5[/C][C]5[/C][C]0.029586[/C][C]0.976331[/C][C]0.029586[/C][/ROW]
[ROW][C][8,9][/C][C]8.5[/C][C]4[/C][C]0.023669[/C][C]1[/C][C]0.023669[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=169728&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=169728&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
[-2,-1[	-1.5	12	0.071006	0.071006	0.071006
[-1,0[	-0.5	11	0.065089	0.136095	0.065089
[0,1[	0.5	21	0.12426	0.260355	0.12426
[1,2[	1.5	41	0.242604	0.502959	0.242604
[2,3[	2.5	31	0.183432	0.686391	0.183432
[3,4[	3.5	31	0.183432	0.869822	0.183432
[4,5[	4.5	9	0.053254	0.923077	0.053254
[5,6[	5.5	1	0.005917	0.928994	0.005917
[6,7[	6.5	3	0.017751	0.946746	0.017751
[7,8[	7.5	5	0.029586	0.976331	0.029586
[8,9]	8.5	4	0.023669	1	0.023669

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