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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 computationSat, 08 Nov 2008 06:00:54 -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/08/t12261493009xl54e2ctryiqqx.htm/, Retrieved Mon, 20 May 2024 12:11:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=22590, Retrieved Mon, 20 May 2024 12:11:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact203

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Box-Cox Linearity Plot] [Q3 Box-Cox linear...] [2008-11-08 12:51:34] [2d4aec5ed1856c4828162be37be304d9]
F RMPD    [Maximum-likelihood Fitting - Normal Distribution] [Q5 Maximum-likeli...] [2008-11-08 13:00:54] [d7f41258beeebb8716e3f5d39f3cdc01] [Current]
F    D      [Maximum-likelihood Fitting - Normal Distribution] [tijdreeksQ5] [2008-11-13 11:40:34] [922d8ae7bd2fd460a62d9020ccd4931a]
Feedback Forum
2008-11-20 13:15:49 [Evelien Blockx] [reply] 
Volgens mij is dit nog niet echt een goede benadering van normaalverdeling.
2008-11-23 21:37:30 [Isabel Wilms] [reply] 
Wanneer het histogram gelijk loopt met de Gauss-curve ( max komen overeen, links en rechts geleidelijk aan op en neer) kunnen we stellen dat er sprake is van een normaalverdeling. Dit is hier niet het geval.

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
148,8
146,7
118,8
99,4
97,6
110,2
146,6
136,4
126,2
154,9
109
128,5
144,9
136,3
134,8
103,4
106,6
119,2
149,3
150,2
142,9
163,6
98,2
138,2
143,7
132,8
149,4
128,8
98,9
106,2
140,7
133
156,4
157,7
107,9
133,6
148,1
205,6
193,1
117,5
116,4
129,5
157,1
157
158,4
161,7
116,9
161,1
155,7
160,8
145,4
111
144,8
149,2
156,6
182,5
171,3
172,7
133
148,1

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'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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=22590&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=22590&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=22590&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'George Udny Yule' @ 72.249.76.132






ParameterEstimated ValueStandard Deviation
mean139.2216666666673.04315542713541
standard deviation23.57218057843232.15183583873209

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 139.221666666667 & 3.04315542713541 \tabularnewline
standard deviation & 23.5721805784323 & 2.15183583873209 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=22590&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]139.221666666667[/C][C]3.04315542713541[/C][/ROW]
[ROW][C]standard deviation[/C][C]23.5721805784323[/C][C]2.15183583873209[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=22590&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=22590&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
mean139.2216666666673.04315542713541
standard deviation23.57218057843232.15183583873209


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')