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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 20:40:46 +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/t1440013257fw4oc8uzq7s3lgx.htm/, Retrieved Wed, 15 May 2024 16:25:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=280290, Retrieved Wed, 15 May 2024 16:25:05 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact130
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 19:40:46] [3e99441ea7f7f69c8fa4628f6be951c3] [Current]
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Dataseries X:
20
25
19
18
24
20
20
24
21
28
10
22
19
27
23
24
24
25
24
21
28
28
22
26
26
21
26
23
20
24
25
24
20
23
24
25
23
21
23
21
18
24
18
21
23
25
22
22
23
24
25
22
24
21
24
25
23
27
27
23
18
20
23
24
26
20
23
22
23
17
20
22
18
19
19
16
24
26
14
25
23
18
22
26
25
26
26
24
22
21
22
28
22
26
20
24
21
23
23
23
22
23
21
27
23
26
27
27
23
23
23
28
24
20
23
22
15
27
23
23
20
18
22
20
21
25
19
25
24
22
28
22
21
23
19
21
25
23
28
14
23
24
25
15
23
26
21
26
15
23
15
16
20
20
20
21
28
19
21
22
27
20
17
26
21
24
21
25
22
17
14
23
28
24
22
24
25
21
22
16
18
27
17
25
24
21
21
19
27
28
19
23
25
26
25
25
24
24
24
22
21
17
23
17
25
19
8
14
22
25
28
25
24
15
25
24
28
24
25
23
26
26
22
25
20
22
26
20
26
26
21
21
24
21
18
23
26
23
25
20
25
26
19
21
23
24
6
22
21
28
24
14
17
20
28
19
24
21
21
26
24
26
25
23
24
24
26
23
20
16
24
20
23
23
18
21
25
23
26
26
24
23
21
23
20
23
24
23
16
18
28
26
21
20
21
26
15
16
21
25
22
19
24
24
23
22
27
22
24
26
26
28
20
23
24
23
26
20
20
12
21
28
24
24
24
22
26
23
10
27
24
26
18
22
24
16
23
21
28
19
18
27
17
20
24
24
20
24
25
25
26
25
26
14
19
23
25
23
19
23
24
21
21
24
23
22
21
23
25
17
27
28
24
27
22
23
24
24
26
21
23
18
25
24
27
20
25
23
25
24
23
19
25
28
26
24
25
28
23
15
18
24
27
25
24
26
19
23
21
22
23
23
20
20
25
28
19
21
21
25
18
22
21
21
25
20
22
27
23
25
28
25
24
27
19
24
22
23
21
21
20
26
28
23
19
23
18
21
28
22
28
20
23
25
16
23
18
22
21
19
20
27
27
20
26
25
23
24
27
28
26
27
23
28
22
23
27
18
22
23
25
14
21
26
28
22
24
28
24
26
18
19
26
26
12
24
26
23




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=280290&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 Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=280290&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=280290&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 Ronald Aylmer Fisher' @ fisher.wessa.net







ParameterEstimated ValueStandard Deviation
mean22.59036144578310.155469334338621
standard deviation3.469440233237570.109933420577397

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 22.5903614457831 & 0.155469334338621 \tabularnewline
standard deviation & 3.46944023323757 & 0.109933420577397 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=280290&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]22.5903614457831[/C][C]0.155469334338621[/C][/ROW]
[ROW][C]standard deviation[/C][C]3.46944023323757[/C][C]0.109933420577397[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=280290&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=280290&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
mean22.59036144578310.155469334338621
standard deviation3.469440233237570.109933420577397



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')