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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_fitdistrnorm.wasp

Title produced by software

Maximum-likelihood Fitting - Normal Distribution

Date of computation

Sun, 17 Oct 2010 12:48:25 +0000

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Oct/17/t12873196505rayzs8q5ninkc6.htm/, Retrieved Fri, 03 May 2024 12:46:00 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=84100, Retrieved Fri, 03 May 2024 12:46:00 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

121

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]
F   PD    [Maximum-likelihood Fitting - Normal Distribution] [Extrinsic motivat...] [2010-10-17 12:48:25] [514029464b0621595fe21c9fa38c7009] [Current]

Feedback Forum

2010-10-20 16:53:58 [Pascal Wijnen] [reply] 
De student geeft hier enkel de waarden voor de mean en SD. Er is dus niet echt een interpretatie. Het is hier beter om te zeggen of de normaal verdeling hier voordelig is om te gebruiken/bekomen.
2010-10-21 07:12:48 [Pascal Wijnen] [reply] 
De student heeft voor vraag 3 de blogs gebruikt van: Hans van Hove. Deze heeft de student dan ook correct vermeld.  
Enkel is er geen interpretatie van de student zelf aanwezig. Een mogelijke interpretatie staat hierboven, daar die repliek ook van mezelf komt, welke dezelfde blogs zijn (zijnde van Hans van Hove).

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=84100&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=84100&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=84100&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'George Udny Yule' @ 72.249.76.132

Parameter	Estimated Value	Standard Deviation
mean	20.5617283950617	0.327677364594882
standard deviation	4.1706519578348	0.231702886546378

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 20.5617283950617 & 0.327677364594882 \tabularnewline
standard deviation & 4.1706519578348 & 0.231702886546378 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=84100&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]20.5617283950617[/C][C]0.327677364594882[/C][/ROW]
[ROW][C]standard deviation[/C][C]4.1706519578348[/C][C]0.231702886546378[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=84100&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=84100&T=1

As an alternative you can also use a QR Code:

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

Parameter	Estimated Value	Standard Deviation
mean	20.5617283950617	0.327677364594882
standard deviation	4.1706519578348	0.231702886546378

Figure 1

PNG link

Postscript link

PDF link

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')

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Description of Statistical Computation

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Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code