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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, 19 Oct 2010 07:50:21 +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/19/t12874745397j3njcosj7y46m0.htm/, Retrieved Mon, 29 Apr 2024 10:08:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=85835, Retrieved Mon, 29 Apr 2024 10:08:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact156

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]
-   PD  [Maximum-likelihood Fitting - Normal Distribution] [Intrinsic motivat...] [2010-10-15 09:31:38] [c7506ced21a6c0dca45d37c8a93c80e0]
-    D    [Maximum-likelihood Fitting - Normal Distribution] [Amotivation] [2010-10-15 09:33:14] [c7506ced21a6c0dca45d37c8a93c80e0]
F R P         [Maximum-likelihood Fitting - Normal Distribution] [] [2010-10-19 07:50:21] [4f70e6cd0867f10d298e58e8e27859b5] [Current]
Feedback Forum
2010-10-20 17:59:25 [] [reply] 
juist hier mag dan ook niet de klassieke weg gebruikt worden, maar een andere methode. De correlatie is hier ook niet het hoogst bij de normaal verdeling wat erop wijst dat een andere verdeling beter is.

Post a new message

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'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=85835&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=85835&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=85835&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'RServer@AstonUniversity' @ vre.aston.ac.uk


Figures (Output of Computation)

Input Parameters & R Code

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'#