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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 computationSun, 16 Dec 2012 06:39:39 -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/16/t1355658004oz8265jmbl16lgr.htm/, Retrieved Thu, 28 Mar 2024 08:11:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=200256, Retrieved Thu, 28 Mar 2024 08:11:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact100
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Maximum-likelihood Fitting - Normal Distribution] [Intrinsic Motivat...] [2010-10-12 11:57:21] [b98453cac15ba1066b407e146608df68]
- R PD  [Maximum-likelihood Fitting - Normal Distribution] [] [2011-10-18 22:32:38] [b98453cac15ba1066b407e146608df68]
- RMP       [Histogram] [1.3 Frequency plot] [2012-12-16 11:39:39] [af500d8a3ad66c35fc813daefbed0920] [Current]
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Dataseries X:
21
16
19
18
16
23
17
12
19
16
19
20
13
20
27
17
8
25
26
13
19
15
5
16
14
24
24
9
19
19
25
19
18
15
12
21
12
15
28
25
19
20
24
26
25
12
12
15
17
14
16
11
20
11
22
20
19
17
21
23
18
17
27
25
19
22
24
20
19
11
22
22
16
20
24
16
16
22
24
16
27
11
21
20
20
27
20
12
8
21
18
24
16
18
20
20
19
17
16
26
15
22
17
23
21
19
14
17
12
24
18
20
16
20
22
12
16
17
22
12
14
23
15
17
28
20
23
13
18
23
19
23
12
16
23
13
22
18
23
20
10
17
18
15
23
17
17
22
20
20
19
18
22
20
22
18
16
16
16
16
17
18




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=200256&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=200256&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=200256&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[4,6[510.0061730.0061730.003086
[6,8[7000.0061730
[8,10[930.0185190.0246910.009259
[10,12[1150.0308640.0555560.015432
[12,14[13140.086420.1419750.04321
[14,16[15110.0679010.2098770.033951
[16,18[17320.1975310.4074070.098765
[18,20[19270.1666670.5740740.083333
[20,22[21250.1543210.7283950.07716
[22,24[23220.1358020.8641980.067901
[24,26[25130.0802470.9444440.040123
[26,28]2790.05555610.027778

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[4,6[ & 5 & 1 & 0.006173 & 0.006173 & 0.003086 \tabularnewline
[6,8[ & 7 & 0 & 0 & 0.006173 & 0 \tabularnewline
[8,10[ & 9 & 3 & 0.018519 & 0.024691 & 0.009259 \tabularnewline
[10,12[ & 11 & 5 & 0.030864 & 0.055556 & 0.015432 \tabularnewline
[12,14[ & 13 & 14 & 0.08642 & 0.141975 & 0.04321 \tabularnewline
[14,16[ & 15 & 11 & 0.067901 & 0.209877 & 0.033951 \tabularnewline
[16,18[ & 17 & 32 & 0.197531 & 0.407407 & 0.098765 \tabularnewline
[18,20[ & 19 & 27 & 0.166667 & 0.574074 & 0.083333 \tabularnewline
[20,22[ & 21 & 25 & 0.154321 & 0.728395 & 0.07716 \tabularnewline
[22,24[ & 23 & 22 & 0.135802 & 0.864198 & 0.067901 \tabularnewline
[24,26[ & 25 & 13 & 0.080247 & 0.944444 & 0.040123 \tabularnewline
[26,28] & 27 & 9 & 0.055556 & 1 & 0.027778 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=200256&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][4,6[[/C][C]5[/C][C]1[/C][C]0.006173[/C][C]0.006173[/C][C]0.003086[/C][/ROW]
[ROW][C][6,8[[/C][C]7[/C][C]0[/C][C]0[/C][C]0.006173[/C][C]0[/C][/ROW]
[ROW][C][8,10[[/C][C]9[/C][C]3[/C][C]0.018519[/C][C]0.024691[/C][C]0.009259[/C][/ROW]
[ROW][C][10,12[[/C][C]11[/C][C]5[/C][C]0.030864[/C][C]0.055556[/C][C]0.015432[/C][/ROW]
[ROW][C][12,14[[/C][C]13[/C][C]14[/C][C]0.08642[/C][C]0.141975[/C][C]0.04321[/C][/ROW]
[ROW][C][14,16[[/C][C]15[/C][C]11[/C][C]0.067901[/C][C]0.209877[/C][C]0.033951[/C][/ROW]
[ROW][C][16,18[[/C][C]17[/C][C]32[/C][C]0.197531[/C][C]0.407407[/C][C]0.098765[/C][/ROW]
[ROW][C][18,20[[/C][C]19[/C][C]27[/C][C]0.166667[/C][C]0.574074[/C][C]0.083333[/C][/ROW]
[ROW][C][20,22[[/C][C]21[/C][C]25[/C][C]0.154321[/C][C]0.728395[/C][C]0.07716[/C][/ROW]
[ROW][C][22,24[[/C][C]23[/C][C]22[/C][C]0.135802[/C][C]0.864198[/C][C]0.067901[/C][/ROW]
[ROW][C][24,26[[/C][C]25[/C][C]13[/C][C]0.080247[/C][C]0.944444[/C][C]0.040123[/C][/ROW]
[ROW][C][26,28][/C][C]27[/C][C]9[/C][C]0.055556[/C][C]1[/C][C]0.027778[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=200256&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=200256&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
[4,6[510.0061730.0061730.003086
[6,8[7000.0061730
[8,10[930.0185190.0246910.009259
[10,12[1150.0308640.0555560.015432
[12,14[13140.086420.1419750.04321
[14,16[15110.0679010.2098770.033951
[16,18[17320.1975310.4074070.098765
[18,20[19270.1666670.5740740.083333
[20,22[21250.1543210.7283950.07716
[22,24[23220.1358020.8641980.067901
[24,26[25130.0802470.9444440.040123
[26,28]2790.05555610.027778



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')
}