Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Sat, 29 Sep 2012 08:49:30 -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/29/t1348923097fwe5bx6xso0r8yv.htm/, Retrieved Thu, 02 May 2024 16:40:59 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=170444, Retrieved Thu, 02 May 2024 16:40:59 +0000

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

132

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

-     [Univariate Data Series] [] [2012-09-23 14:20:58] [73ff502f5cc0e8f9d4cad04b672b43dc]
- RMPD    [Histogram] [] [2012-09-29 12:49:30] [19a5fa3cc9952272699ac0aa748608b8] [Current]

Feedback Forum

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

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

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=170444&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=170444&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=170444&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	0.071429	0.071429	0.071429
[-1,0[	-0.5	11	0.065476	0.136905	0.065476
[0,1[	0.5	21	0.125	0.261905	0.125
[1,2[	1.5	40	0.238095	0.5	0.238095
[2,3[	2.5	32	0.190476	0.690476	0.190476
[3,4[	3.5	30	0.178571	0.869048	0.178571
[4,5[	4.5	9	0.053571	0.922619	0.053571
[5,6[	5.5	1	0.005952	0.928571	0.005952
[6,7[	6.5	3	0.017857	0.946429	0.017857
[7,8[	7.5	5	0.029762	0.97619	0.029762
[8,9]	8.5	4	0.02381	1	0.02381

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-2,-1[ & -1.5 & 12 & 0.071429 & 0.071429 & 0.071429 \tabularnewline
[-1,0[ & -0.5 & 11 & 0.065476 & 0.136905 & 0.065476 \tabularnewline
[0,1[ & 0.5 & 21 & 0.125 & 0.261905 & 0.125 \tabularnewline
[1,2[ & 1.5 & 40 & 0.238095 & 0.5 & 0.238095 \tabularnewline
[2,3[ & 2.5 & 32 & 0.190476 & 0.690476 & 0.190476 \tabularnewline
[3,4[ & 3.5 & 30 & 0.178571 & 0.869048 & 0.178571 \tabularnewline
[4,5[ & 4.5 & 9 & 0.053571 & 0.922619 & 0.053571 \tabularnewline
[5,6[ & 5.5 & 1 & 0.005952 & 0.928571 & 0.005952 \tabularnewline
[6,7[ & 6.5 & 3 & 0.017857 & 0.946429 & 0.017857 \tabularnewline
[7,8[ & 7.5 & 5 & 0.029762 & 0.97619 & 0.029762 \tabularnewline
[8,9] & 8.5 & 4 & 0.02381 & 1 & 0.02381 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=170444&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]0.071429[/C][C]0.071429[/C][C]0.071429[/C][/ROW]
[ROW][C][-1,0[[/C][C]-0.5[/C][C]11[/C][C]0.065476[/C][C]0.136905[/C][C]0.065476[/C][/ROW]
[ROW][C][0,1[[/C][C]0.5[/C][C]21[/C][C]0.125[/C][C]0.261905[/C][C]0.125[/C][/ROW]
[ROW][C][1,2[[/C][C]1.5[/C][C]40[/C][C]0.238095[/C][C]0.5[/C][C]0.238095[/C][/ROW]
[ROW][C][2,3[[/C][C]2.5[/C][C]32[/C][C]0.190476[/C][C]0.690476[/C][C]0.190476[/C][/ROW]
[ROW][C][3,4[[/C][C]3.5[/C][C]30[/C][C]0.178571[/C][C]0.869048[/C][C]0.178571[/C][/ROW]
[ROW][C][4,5[[/C][C]4.5[/C][C]9[/C][C]0.053571[/C][C]0.922619[/C][C]0.053571[/C][/ROW]
[ROW][C][5,6[[/C][C]5.5[/C][C]1[/C][C]0.005952[/C][C]0.928571[/C][C]0.005952[/C][/ROW]
[ROW][C][6,7[[/C][C]6.5[/C][C]3[/C][C]0.017857[/C][C]0.946429[/C][C]0.017857[/C][/ROW]
[ROW][C][7,8[[/C][C]7.5[/C][C]5[/C][C]0.029762[/C][C]0.97619[/C][C]0.029762[/C][/ROW]
[ROW][C][8,9][/C][C]8.5[/C][C]4[/C][C]0.02381[/C][C]1[/C][C]0.02381[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=170444&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=170444&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	0.071429	0.071429	0.071429
[-1,0[	-0.5	11	0.065476	0.136905	0.065476
[0,1[	0.5	21	0.125	0.261905	0.125
[1,2[	1.5	40	0.238095	0.5	0.238095
[2,3[	2.5	32	0.190476	0.690476	0.190476
[3,4[	3.5	30	0.178571	0.869048	0.178571
[4,5[	4.5	9	0.053571	0.922619	0.053571
[5,6[	5.5	1	0.005952	0.928571	0.005952
[6,7[	6.5	3	0.017857	0.946429	0.017857
[7,8[	7.5	5	0.029762	0.97619	0.029762
[8,9]	8.5	4	0.02381	1	0.02381

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):

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