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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, 27 Dec 2008 05:34:12 -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/Dec/27/t1230381287zwbuzrzpn2hd712.htm/, Retrieved Fri, 17 May 2024 05:03:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=36680, Retrieved Fri, 17 May 2024 05:03:48 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact191
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Maximum-likelihood Fitting - Normal Distribution] [paper-maximum lik...] [2007-12-18 17:22:42] [7ac4b229110554b3e982c81f1297f39d]
-   PD    [Maximum-likelihood Fitting - Normal Distribution] [paper-maximum lik...] [2008-12-27 12:34:12] [46e37ee7550ef0ff8e9e103b4ae236a6] [Current]
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Dataseries X:
-0.361846007532772 
3.68863098861213 
0.682519663180303 
7.63067731671178 
-1.52075037210644 
5.70955581144987 
13.1939928862509 
-5.49940323517293 
1.76500444649349 
1.96677142422135 
-5.60662922820024 
-7.31646013152379 
-1.08563548801227 
-0.099103421317697 
-9.39514313732207 
-6.39447775845358 
-2.02805473224696 
0.903602088633067 
7.57491469457003 
-2.19407311445752 
3.58898833702079 
-1.68951274457543 
-1.53671157669086 
13.3598886375142 
-3.65726657887787 
0.613493186862468 
9.24506908223031 
11.0285738876639 
-3.49893748343257 
-6.55850163797107 
5.54750744110568 
16.5005808635365 
-0.0867999869147866 
-10.1895526735612 
-1.56002146200367 
3.61791774409454 
-3.46228026897451 
-0.839719033549138 
-1.74844063591575 
-5.59275453302008 
-4.31083509741400 
8.28778989827125 
-14.0676602788114 
-4.07578881412959 
3.95794121224257 
-2.54404876219145 
24.3555160491049 
11.7342693021934 
3.81944484749606 
-2.98176766619709 
7.45551605729516 
-6.39245158356992 
11.7003155629076 
2.36027611470617 
-7.48442696186156 
-2.54111530629837 
-2.30507409276129 
10.8550201878513 
-2.11331989623902 
3.4086895867965 
11.2003605872847 
-1.20537867882487 
5.81786820725412 
-2.61150202837964 
-1.54008349441135 
-5.42145151519334 
11.6034074049369 
-9.06789177079852 




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36680&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36680&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36680&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







ParameterEstimated ValueStandard Deviation
mean1.067488710729080.857596328145095
standard deviation7.071920490168180.60641217915208

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 1.06748871072908 & 0.857596328145095 \tabularnewline
standard deviation & 7.07192049016818 & 0.60641217915208 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36680&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]1.06748871072908[/C][C]0.857596328145095[/C][/ROW]
[ROW][C]standard deviation[/C][C]7.07192049016818[/C][C]0.60641217915208[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36680&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36680&T=1

As an alternative you can also use a QR Code:  

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

ParameterEstimated ValueStandard Deviation
mean1.067488710729080.857596328145095
standard deviation7.071920490168180.60641217915208



Parameters (Session):
Parameters (R input):
par1 = 8 ; par2 = 0 ; par3 = ; par4 = ; par5 = ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;
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')