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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 10:47:51 -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/t1226425778f49s19ukx32tt1l.htm/, Retrieved Sun, 19 May 2024 11:10:34 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=23780, Retrieved Sun, 19 May 2024 11:10:34 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

130

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

-     [Maximum-likelihood Fitting - Normal Distribution] [Distribution for ...] [2007-10-19 11:50:04] [6fc1af1ac5eacf21d6edfbf99c2fd5d7]
F   PD    [Maximum-likelihood Fitting - Normal Distribution] [Various EDA topic...] [2008-11-11 17:47:51] [a9e6d7cd6e144e8b311d9f96a24c5a25] [Current]

Feedback Forum

2008-11-15 16:00:05 [Laura Reussens] [reply] 
Dit histogram is inderdaad een goede benadering voor de Y datareeks. De gegevens zijn min of meer normaal verdeeld en we zien de spreiding, het gemiddelde, de waarde en de dichtheid. 
2008-11-19 14:32:55 [Sam De Cuyper] [reply] 
Goed berekend, zeer beknopt geïnterpreteerd.
2008-11-24 14:52:22 [Jessica Alves Pires] [reply] 
Je conclusie klopt maar je had wel mogen zeggen waarom. Je had bijvoorbeeld kunnnen checken of het gemiddelde en de mediaan ongeveer gelijk zijn, dit wijst op symmetrie en dus op een normale verdeling.
2008-11-24 15:25:11 [Birgit Van Dyck] [reply] 
De gegevens zijn normaal verdeeld. De normaal verdeling is een goede benadering voor y.

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Dataseries X:

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Histogram

Boxplots

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23780&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23780&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23780&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	3 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

Parameter	Estimated Value	Standard Deviation
mean	293237.125	2803.99588639449
standard deviation	23792.6940682648	1982.72450568873

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 293237.125 & 2803.99588639449 \tabularnewline
standard deviation & 23792.6940682648 & 1982.72450568873 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23780&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]293237.125[/C][C]2803.99588639449[/C][/ROW]
[ROW][C]standard deviation[/C][C]23792.6940682648[/C][C]1982.72450568873[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23780&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23780&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	293237.125	2803.99588639449
standard deviation	23792.6940682648	1982.72450568873

Figure 1

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Postscript link

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Parameters (Session):

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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Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code