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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationWed, 05 Dec 2012 10:33:20 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/05/t1354721623fmtbsrc9k0fo9z1.htm/, Retrieved Fri, 29 Mar 2024 14:30:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=196875, Retrieved Fri, 29 Mar 2024 14:30:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact106
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Boxplot and Trimmed Means] [Reddy Moores Boxp...] [2010-10-12 16:37:57] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R P   [Boxplot and Trimmed Means] [Reddy-Moores Plac...] [2010-10-13 09:46:26] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RMPD    [Notched Boxplots] [] [2010-10-15 11:13:23] [b98453cac15ba1066b407e146608df68]
- RMPD        [Histogram] [] [2012-12-05 15:33:20] [70625068b3924f89f7a6efd1a4acaa7e] [Current]
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Dataseries X:
30
36
59
40
28
16
26
21
19
22
40
13
25
22
15
22
24
18
26
26
17
15
23
22
18
21
18
20
18
18
20
21
15
27
28
13
12
23
17
14
8
8
10
17
12
18
15
19
7
15
18
18
4
13
8
12
21
14
8
15
12
20
10
20
13
12
10
12
2
18
14
14
16
20
13
12
18
6
14
12
11
7
18
10
5
11
12
10
11
12
13
11
10
7
6
6
7
7
10
26
14
11
6
8
7
4
7
8
8
7
4
9
5
8
10
9
9
14
7
8
2
3
5
0
10
2
0
8
2
2
1
6
6
7
0
1
0
1
2
3
1
2
3
0
2
0
0
0
0
0




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=196875&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=196875&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=196875&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,5[2.5280.1866670.1866670.037333
[5,10[7.5320.2133330.40.042667
[10,15[12.5370.2466670.6466670.049333
[15,20[17.5240.160.8066670.032
[20,25[22.5160.1066670.9133330.021333
[25,30[27.580.0533330.9666670.010667
[30,35[32.510.0066670.9733330.001333
[35,40[37.510.0066670.980.001333
[40,45[42.520.0133330.9933330.002667
[45,50[47.5000.9933330
[50,55[52.5000.9933330
[55,60]57.510.00666710.001333

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,5[ & 2.5 & 28 & 0.186667 & 0.186667 & 0.037333 \tabularnewline
[5,10[ & 7.5 & 32 & 0.213333 & 0.4 & 0.042667 \tabularnewline
[10,15[ & 12.5 & 37 & 0.246667 & 0.646667 & 0.049333 \tabularnewline
[15,20[ & 17.5 & 24 & 0.16 & 0.806667 & 0.032 \tabularnewline
[20,25[ & 22.5 & 16 & 0.106667 & 0.913333 & 0.021333 \tabularnewline
[25,30[ & 27.5 & 8 & 0.053333 & 0.966667 & 0.010667 \tabularnewline
[30,35[ & 32.5 & 1 & 0.006667 & 0.973333 & 0.001333 \tabularnewline
[35,40[ & 37.5 & 1 & 0.006667 & 0.98 & 0.001333 \tabularnewline
[40,45[ & 42.5 & 2 & 0.013333 & 0.993333 & 0.002667 \tabularnewline
[45,50[ & 47.5 & 0 & 0 & 0.993333 & 0 \tabularnewline
[50,55[ & 52.5 & 0 & 0 & 0.993333 & 0 \tabularnewline
[55,60] & 57.5 & 1 & 0.006667 & 1 & 0.001333 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=196875&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][0,5[[/C][C]2.5[/C][C]28[/C][C]0.186667[/C][C]0.186667[/C][C]0.037333[/C][/ROW]
[ROW][C][5,10[[/C][C]7.5[/C][C]32[/C][C]0.213333[/C][C]0.4[/C][C]0.042667[/C][/ROW]
[ROW][C][10,15[[/C][C]12.5[/C][C]37[/C][C]0.246667[/C][C]0.646667[/C][C]0.049333[/C][/ROW]
[ROW][C][15,20[[/C][C]17.5[/C][C]24[/C][C]0.16[/C][C]0.806667[/C][C]0.032[/C][/ROW]
[ROW][C][20,25[[/C][C]22.5[/C][C]16[/C][C]0.106667[/C][C]0.913333[/C][C]0.021333[/C][/ROW]
[ROW][C][25,30[[/C][C]27.5[/C][C]8[/C][C]0.053333[/C][C]0.966667[/C][C]0.010667[/C][/ROW]
[ROW][C][30,35[[/C][C]32.5[/C][C]1[/C][C]0.006667[/C][C]0.973333[/C][C]0.001333[/C][/ROW]
[ROW][C][35,40[[/C][C]37.5[/C][C]1[/C][C]0.006667[/C][C]0.98[/C][C]0.001333[/C][/ROW]
[ROW][C][40,45[[/C][C]42.5[/C][C]2[/C][C]0.013333[/C][C]0.993333[/C][C]0.002667[/C][/ROW]
[ROW][C][45,50[[/C][C]47.5[/C][C]0[/C][C]0[/C][C]0.993333[/C][C]0[/C][/ROW]
[ROW][C][50,55[[/C][C]52.5[/C][C]0[/C][C]0[/C][C]0.993333[/C][C]0[/C][/ROW]
[ROW][C][55,60][/C][C]57.5[/C][C]1[/C][C]0.006667[/C][C]1[/C][C]0.001333[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=196875&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=196875&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)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,5[2.5280.1866670.1866670.037333
[5,10[7.5320.2133330.40.042667
[10,15[12.5370.2466670.6466670.049333
[15,20[17.5240.160.8066670.032
[20,25[22.5160.1066670.9133330.021333
[25,30[27.580.0533330.9666670.010667
[30,35[32.510.0066670.9733330.001333
[35,40[37.510.0066670.980.001333
[40,45[42.520.0133330.9933330.002667
[45,50[47.5000.9933330
[50,55[52.5000.9933330
[55,60]57.510.00666710.001333



Parameters (Session):
par2 = red ; par3 = FALSE ; par4 = Interval/Ratio ;
Parameters (R input):
par1 = ; par2 = red ; par3 = FALSE ; par4 = Interval/Ratio ;
R code (references can be found in the software module):
par4 <- 'Interval/Ratio'
par3 <- 'FALSE'
par2 <- 'red'
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')
}