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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_fitdistrnorm.wasp
Title produced by softwareMaximum-likelihood Fitting - Normal Distribution
Date of computationWed, 10 Dec 2014 14:50:53 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/10/t1418223060pp9sf3z1r9hpein.htm/, Retrieved Sun, 19 May 2024 14:08:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=265304, Retrieved Sun, 19 May 2024 14:08:46 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact55
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-10 14:50:53] [b4b65124834fa3a3e625dd03af063494] [Current]
- R  D    [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-10 16:39:17] [2add28fdfb91c9297fa0715b27e01e1f]
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Dataseries X:
8
18
12
24
16
19
16
15
28
21
18
22
19
22
25
20
16
19
18
26
24
20
19
19
23
18
16
18
21
20
15
19
19
7
20
20
19
19
20
18
14
17
17
8
9
22
20
20
22
22
22
16
14
24
21
20
20
18
14
19
24
19
16
16
16
14
22
21
15
14
15
14
20
21
14
19
16
13
26
13
18
15
18
21
17
18
20
18
25
20
19
18
12
22
16
18
23
20
20
16
22
19
23
6
19
24
19
15
18
18
22
23
18
17
6
22
20
16
16
17
20
23
18
13
22
20
20
13
16
25
16
15
19
19
24
9
22
15
22
22
24
12
21
25
26
21
14
28
21
16
16
25
21
22
9
20
19
24
22
22
12
17
18
10
22
24
18
18
23
21
21
28
17
21
21
20
18
17
7
17
14
18
14
23
20
14
17
21
23
24
21
14
24
16
21
8
17
18
17
16
22
17
21
20
20
19
8
19
11
13
18
19
23
20
22
19
16
11
21
14
21
20
21
20
19
19
18
20
21
22
19
23
16
23
18
23
20
20
23
13
21
26
18
19
18
18
19
13
10
21
24
21
23
18
11
16
20
20
26
21
12
15
18
14
18
16
19
7
21
24
21
20
22
17
19
20
16
20
16
19
19
24
7
17
23
23
21
18
4
27
18
20
15
19
14
14
17
20
16
16
11
21
10
18
18
16
15
17
15
12
20
20
18
21
22
21
25
12
22
24
17
20
20
19
24
18
15
25
27
17
18
17
24
18
27
18
23
18
21
25
18
19
20
11
22
24
23
16
24
16
16
18
17
21
15
15
19
21
19
19
18
14
17
25
14
19
20
20
20
19
18
22
18
22
19
20
22
22
24
18
21
22
19
18
24
21
21
20
17
20
22
24
24
20
19
20
16
21
22
19
19
13
22
20
21
21
15
23
22
15
20
23
21
18
23
16
18
18
10
17
20
13
25
18
20
18
19
11
17
22
21
19
20
21
22
20
21
15
22
21
28
20
20
23
15
19
21
19
16
17
26
20
13
19
21
21
24
23
20
23
24
8
19
18
20
21
16
17
21
27
12
17
17
18
24
18
18
24
18
19
19
24
15
22
17
20
22




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265304&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265304&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265304&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 time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







ParameterEstimated ValueStandard Deviation
mean18.83983572895280.180178307526702
standard deviation3.976188672466640.127405303074846

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 18.8398357289528 & 0.180178307526702 \tabularnewline
standard deviation & 3.97618867246664 & 0.127405303074846 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265304&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]18.8398357289528[/C][C]0.180178307526702[/C][/ROW]
[ROW][C]standard deviation[/C][C]3.97618867246664[/C][C]0.127405303074846[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265304&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265304&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

ParameterEstimated ValueStandard Deviation
mean18.83983572895280.180178307526702
standard deviation3.976188672466640.127405303074846



Parameters (Session):
par1 = 8 ; par2 = 0 ;
Parameters (R input):
par1 = 8 ; par2 = 0 ;
R code (references can be found in the software module):
library(MASS)
par1 <- as.numeric(par1)
if (par2 == '0') par2 = 'Sturges' else par2 <- as.numeric(par2)
x <- as.ts(x) #otherwise the fitdistr function does not work properly
r <- fitdistr(x,'normal')
r
bitmap(file='test1.png')
myhist<-hist(x,col=par1,breaks=par2,main=main,ylab=ylab,xlab=xlab,freq=F)
curve(1/(r$estimate[2]*sqrt(2*pi))*exp(-1/2*((x-r$estimate[1])/r$estimate[2])^2),min(x),max(x),add=T)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Parameter',1,TRUE)
a<-table.element(a,'Estimated Value',1,TRUE)
a<-table.element(a,'Standard Deviation',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,r$estimate[1])
a<-table.element(a,r$sd[1])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'standard deviation',header=TRUE)
a<-table.element(a,r$estimate[2])
a<-table.element(a,r$sd[2])
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')