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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 computationMon, 15 Dec 2014 11:38:53 +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/15/t1418643576exunnwduoyk3bc4.htm/, Retrieved Thu, 16 May 2024 23:42:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=268143, Retrieved Thu, 16 May 2024 23:42:48 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact80
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 14:46:22] [2add28fdfb91c9297fa0715b27e01e1f]
- R  D  [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-15 11:26:46] [ccd66b5a2d6b0dd8c147f526ae5cbd1f]
-    D    [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-15 11:34:29] [ccd66b5a2d6b0dd8c147f526ae5cbd1f]
-    D        [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-15 11:38:53] [921bde233b8ec180d9061abb09deed53] [Current]
-   PD          [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-15 11:43:24] [ccd66b5a2d6b0dd8c147f526ae5cbd1f]
-   PD          [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-15 13:43:51] [ccd66b5a2d6b0dd8c147f526ae5cbd1f]
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Dataseries X:
4
5
6
5
4
0
5
3
5
2
3
4
6
3
4
1
5
4
4
4
3
6
5
5
6
4
6
5
6
5
4
4
6
4
6
6
3
4
5
6
6
6
6
6
5
5
3
5
1
5
6
6
4
6
6
6
5
2
2
6
6
5
6
5
4
5
4
5
4
6
5
4
5
5
4
6
2
5
6
5
5
3
3
5
6
2
6
4
5
6
5
5
6
5
6
5
4
5
5
5
5
4
5
0
5
6
1
1
3
3
6
4
5
6
6
6
6
6
6
5
6
5
6
5
5
6
4
5
6
6
5
6
6
6
4
6
5
6
6
5
4
5
6
0
6
6
4
6
5
1
5
5
5
5
5
6
5
6
5
6
5
6
5
5
6
6
6
6
6
6
6
6
5
6
6
6
6
5
3
4
6
4
6
6
3
4
4
4
4
4
4
6
4
4
2
5
6
6
1
4
5
5
6
5
6
6
5
5
6
0
6
5
6
2
5
5
1
5
5
4
6
5
6
6
6
6
5
6
5
5
5
0
6
6
6
0
5
5
5
0
4
6
4
5
6
6
6
5
5
6
6
6
4
5
2
6
6
4
6
5
4
6
6
1
5
5
6
4
3
4
5
5
6
1
6
4
4
5
3
6
2
6
6
5
6
6
6
6
2
5
6
4
5
5
4
6
6
5
6
5
6
6
2
5
5
6
4
6
6
6
5
3
6
4
6
4
6
5
4
6
0
4
5
4
5
5
4
5
2
6
2
4
5
3
2
6
3
6
5
5
6
5
5
5
5
5
6
5
6
4
5
5
6
6
3
6
4
5
6
6
5
5
5
4
1
5
5
4
5
6
4
5
6
4
6
4
4
6
4
5
4
6
6
5
6
6
4
5
6
6
6
6
6
6
6
6
6
4
0
6
5
5
6
5
2
6
6
4
4
6
5
6
6
5
3
4
5
6
6
5
6
6
5
5
6
4
4
1
5
5
6
3
4
5
2
6
1
6
6
6
5
2
1
4
6
5
3
4
5
4
4
5
5
6
6
3
4
5
3
5
5
6
6
2
6
5
4
6
3
5
6
5
6
4
6
6
4
6
4
5
5
4
4
5
2
6
5




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=268143&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=268143&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268143&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
mean4.78644763860370.0632160312332911
standard deviation1.395056212695630.0447004843647607

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 4.7864476386037 & 0.0632160312332911 \tabularnewline
standard deviation & 1.39505621269563 & 0.0447004843647607 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268143&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]4.7864476386037[/C][C]0.0632160312332911[/C][/ROW]
[ROW][C]standard deviation[/C][C]1.39505621269563[/C][C]0.0447004843647607[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268143&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268143&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
mean4.78644763860370.0632160312332911
standard deviation1.395056212695630.0447004843647607



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')