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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 computationFri, 15 Oct 2010 09:53:17 +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/2010/Oct/15/t1287136453tg87uaqs9kp2qp1.htm/, Retrieved Mon, 29 Apr 2024 09:29:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=83376, Retrieved Mon, 29 Apr 2024 09:29:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact208

Tree of Dependent Computations

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] [Intrinsic Motivat...] [2010-10-15 09:53:17] [18ef3d986e8801a4b28404e69e5bf56b] [Current]
-           [Maximum-likelihood Fitting - Normal Distribution] [question 3: intri...] [2010-10-19 07:24:29] [814f53995537cd15c528d8efbf1cf544]
Feedback Forum
2010-10-23 07:20:37 [48eb36e2c01435ad7e4ea7854a9d98fe] [reply] 
Men kan hier inderdaad vaststellen dat het histogram dat opgesteld werd van de werkelijke gegevens min of meer dezelfde vorm aanneemt dan de normaalverdeling die voorgesteld (volle lijn) werd op basis van deze gegevens. Op basis hiervan kan men inderdaad spreken van een normaalverdeling.
2010-10-24 08:16:54 [6f5a430a34dfbeab884e51a2f2a26434] [reply] 
De top van de frequentie ligt inderdaad in het midden van de verdeling, wat vaag wijst op een normaalverdeling. Het is de bedoeling om naar het gehele verloop van de grafiek te kijken. Een normaalverdeling is hier van toepassing dit zien we aan het gelijklopen van de histogram en de normaalverdeling, soms kan de histogram er iets bovenuitkomen, maar dit kan veranderen als je het aantal klassen aanpast.
2010-10-25 20:55:52 [Naoual Ahidar] [reply] 
Als we eerst het histogram bekijken, zien we twee pieken verschijnen en uitlopers naar links. Dit kan duiden op het niet normaal verdeeld zijn.

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=83376&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=83376&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83376&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 time1 seconds
R Server'George Udny Yule' @ 72.249.76.132






ParameterEstimated ValueStandard Deviation
mean18.53703703703700.34767269970282
standard deviation4.425151024679370.245841723593298

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 18.5370370370370 & 0.34767269970282 \tabularnewline
standard deviation & 4.42515102467937 & 0.245841723593298 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=83376&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]18.5370370370370[/C][C]0.34767269970282[/C][/ROW]
[ROW][C]standard deviation[/C][C]4.42515102467937[/C][C]0.245841723593298[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=83376&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83376&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
mean18.53703703703700.34767269970282
standard deviation4.425151024679370.245841723593298


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')