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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

Tue, 11 Nov 2008 08:34:06 -0700

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/2008/Nov/11/t1226417724xx4mwlardqlil9t.htm/, Retrieved Sun, 19 May 2024 04:40:15 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=23603, Retrieved Sun, 19 May 2024 04:40:15 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

174

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

F     [Central Tendency] [Q6 Distributions] [2007-10-22 19:20:42] [b731da8b544846036771bbf9bf2f34ce]
-    D  [Central Tendency] [Q6:Mean] [2008-10-23 11:37:05] [1ce0d16c8f4225c977b42c8fa93bc163]
- RM D    [Maximum-likelihood Fitting - Cauchy Distribution] [Maximum likelihood] [2008-10-27 18:14:53] [1ce0d16c8f4225c977b42c8fa93bc163]
F RMPD        [Maximum-likelihood Fitting - Normal Distribution] [Maximum likelihoo...] [2008-11-11 15:34:06] [8758b22b4a10c08c31202f233362e983] [Current]

Feedback Forum

2008-11-19 20:51:40 [Nathalie Koulouris] [reply] 
De student heeft de juiste methode gebruikt en we kunnen inderdaad stellen dat het hier gaat om een normaalverdeling.
2008-11-23 16:49:22 [Michaël De Kuyer] [reply] 
De student heeft een juiste reproductie gedaan. Het benadert de normaalverdeling. Desalniettemin is er een uitloper naar rechts.

Post a new message

Dataseries X:

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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	'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23603&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23603&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23603&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	'Gwilym Jenkins' @ 72.249.127.135

Parameter	Estimated Value	Standard Deviation
mean	3878.21958762887	59.3507160555817
standard deviation	584.536762866202	41.9672937911792

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 3878.21958762887 & 59.3507160555817 \tabularnewline
standard deviation & 584.536762866202 & 41.9672937911792 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23603&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]3878.21958762887[/C][C]59.3507160555817[/C][/ROW]
[ROW][C]standard deviation[/C][C]584.536762866202[/C][C]41.9672937911792[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23603&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23603&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	3878.21958762887	59.3507160555817
standard deviation	584.536762866202	41.9672937911792

Figure 1

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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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Figures (Output of Computation)

Input Parameters & R Code