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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, 19 Aug 2015 20:36:09 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Aug/19/t1440012983rpy2mchmse8ucyj.htm/, Retrieved Wed, 15 May 2024 18:01:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=280288, Retrieved Wed, 15 May 2024 18:01:05 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact142
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Maximum-likelihood Fitting - Normal Distribution] [] [2015-08-19 19:36:09] [3e99441ea7f7f69c8fa4628f6be951c3] [Current]
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Dataseries X:
12
20
20
14
25
15
20
21
15
28
11
22
22
27
24
23
24
21
20
19
25
16
24
21
22
25
23
20
21
22
25
23
19
27
21
19
25
16
24
24
18
28
15
17
18
26
18
22
19
17
26
21
26
21
12
20
20
24
24
22
21
20
23
19
24
21
16
17
23
20
19
18
18
21
20
17
20
25
15
17
17
24
21
22
18
22
20
21
21
20
18
25
23
21
20
21
20
22
15
24
22
21
17
23
22
23
16
18
25
18
14
20
19
18
22
21
14
5
25
21
11
20
9
15
23
21
9
24
16
20
15
18
22
21
21
21
20
24
15
24
18
24
24
15
19
20
26
26
18
23
13
16
19
22
21
11
23
18
19
15
8
15
21
25
14
21
18
18
12
24
17
20
24
22
15
22
26
17
23
19
21
23
19
18
16
23
13
18
23
21
23
16
17
20
18
20
19
26
9
23
9
13
27
22
12
18
6
17
22
22
23
19
20
17
18
24
20
18
23
27
25
24
12
16
16
24
23
24
24
26
19
28
23
21
19
23
23
20
18
20
28
21
25
18
24
28
9
22
26
28
18
23
22
15
24
12
12
20
25
24
23
18
20
22
20
25
28
25
14
16
24
13
19
18
16
8
27
23
20
20
26
23
24
21
15
22
25
23
16
26
25
23
24
26
20
24
14
28
25
21
19
22
22
21
17
21
23
16
15
24
25
23
19
24
14
20
23
12
22
18
21
23
22
28
20
22
24
19
9
23
23
22
20
23
24
17
19
17
23
19
24
15
22
25
27
23
16
24
22
27
28
23
25
21
22
25
25
19
24
21
18
17
17
26
8
25
22
20
22
17
24
20
19
26
13
20
26
21
24
23
16
24
18
21
17
19
22
23
27
22
22
25
26
22
25
23
8
24
14
17
21
21
25
18
20
25
20
24
22
16
20
21
22
15
21
25
16
28
22
19
17
23
28
19
24
16
19
19
12
16
15
17
23
21
20
19
20
20
23
22
20
24
21
23
22
21
26
16
28
24
28
14
16
22
18
23
18
22
13
20
24
24
25
23
24
22
24
24
24
25
27
27
14
21
17
23
25
20
21
24
27
12
26
22
24
24
20
22
23
22
21
13
21
20
18
19
25
24




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=280288&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=280288&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=280288&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'Sir Maurice George Kendall' @ kendall.wessa.net







ParameterEstimated ValueStandard Deviation
mean20.54216867469880.188430191939092
standard deviation4.204991883777330.133240266500415

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 20.5421686746988 & 0.188430191939092 \tabularnewline
standard deviation & 4.20499188377733 & 0.133240266500415 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=280288&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]20.5421686746988[/C][C]0.188430191939092[/C][/ROW]
[ROW][C]standard deviation[/C][C]4.20499188377733[/C][C]0.133240266500415[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=280288&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=280288&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
mean20.54216867469880.188430191939092
standard deviation4.204991883777330.133240266500415



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')