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Description of Statistical Computation

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 computationTue, 11 Nov 2008 02:58:35 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Nov/11/t1226397572zxs43nqf3ildu6n.htm/, Retrieved Sun, 19 May 2024 08:15:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=23258, Retrieved Sun, 19 May 2024 08:15:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsBert Moons, Q5, Is the normal distribution a good approximation for Yt
Estimated Impact191

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [Maximum-likelihood Fitting - Normal Distribution] [Bert Moons - Q5: ...] [2008-11-11 09:58:35] [1828943283e41f5e3270e2e73d6433b4] [Current]
Feedback Forum
2008-11-20 15:37:08 [Natalie De Wilde] [reply] 
Ook hier een goede intrepretatie van de grafiek. De histogram komt in grote mate overeen met de normal density. Beide hebben een linksscheve verdeling met een staart die uitloopt naar rechts.
2008-11-24 20:58:06 [Vincent Vanden Poel] [reply] 
Je hebt hier een goede interpretatie gemaakt van de grafiek. Maar let wel op, het gaat hier om een rechtsscheve verdeling en niet om een linksscheve (Zie statistiek Ba1 3.6 `frequentieverdelingen verder ontleed Slide 83).

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4.8
5.5
5.4
5.9
5.8
5.1
4.1
4.4
3.6
3.5
3.1
2.9
2.2
1.4
1.2
1.3
1.3
1.3
1.8
1.8
1.8
1.7
2.1
2
1.7
1.9
2.3
2.4
2.5
2.8
2.6
2.2
2.8
2.8
2.8
2.3
2.2
3
2.9
2.7
2.7
2.3
2.4
2.8
2.3
2
1.9
2.3
2.7
1.8
2
2.1
2
2.4
1.7
1
1.2
1.4
1.7
1.8

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23258&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23258&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23258&T=0

As an alternative you can also use a QR Code:  
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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






ParameterEstimated ValueStandard Deviation
mean2.573333333333330.150367451166702
standard deviation1.164741268360580.106325844389712

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 2.57333333333333 & 0.150367451166702 \tabularnewline
standard deviation & 1.16474126836058 & 0.106325844389712 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23258&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]2.57333333333333[/C][C]0.150367451166702[/C][/ROW]
[ROW][C]standard deviation[/C][C]1.16474126836058[/C][C]0.106325844389712[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23258&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23258&T=1

As an alternative you can also use a QR Code:  
QR Code


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

ParameterEstimated ValueStandard Deviation
mean2.573333333333330.150367451166702
standard deviation1.164741268360580.106325844389712


Figures (Output of Computation)

Input Parameters & R Code

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')