Free Statistics

of Irreproducible Research!

Author's title

paper-maximum likelihood fitting normal distribution-elektronische apparate...

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 06:03:41 -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/t1230383068939xyai40dh0jlk.htm/, Retrieved Fri, 17 May 2024 02:01:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=36687, Retrieved Fri, 17 May 2024 02:01:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact189
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 17:34:38] [7ac4b229110554b3e982c81f1297f39d]
-   PD    [Maximum-likelihood Fitting - Normal Distribution] [paper-maximum lik...] [2008-12-27 13:03:41] [46e37ee7550ef0ff8e9e103b4ae236a6] [Current]
Feedback Forum

Post a new message
Dataseries X:
0.084299365852926 
-15.5692124815993 
-6.9953619930182 
-2.07575919037298 
6.06472185178652 
3.10063183929146 
-7.27872604143293 
11.9305592423578 
-15.1800926797913 
-4.96965957564265 
-3.06184332688462 
5.17876413221274 
-2.29638814463019 
-1.85853257792512 
-8.74637895628288 
-8.02346934029272 
4.80319999595127 
3.90173526693944 
-11.3069080265042 
4.26225040152088 
-6.88628010104842 
4.12797896412461 
4.24824928932737 
-5.91811547446539 
-2.62127541719435 
-5.11947651478644 
-6.19169292552164 
1.57682830128841 
6.93381888926023 
1.30435330636300 
0.701451547474772 
18.1487693268603 
-13.6251962127511 
-8.9684198944174 
-3.48024416476534 
0.133268755660886 
0.156896176204026 
-1.28412130463800 
-8.4586972345603 
-2.91518278408049 
0.150465578819962 
3.86877987666889 
7.70993797103159 
-4.11650976301151 
-2.74475852656699 
3.19286810860467 
-6.2212027713738 
1.25489355791219 
4.23585013027417 
0.153440583363572 
-2.05719003274709 
2.14422869581576 
-1.68156215590428 
5.0318450949173 
2.24823311061623 
-6.58372573676435 
-2.85420176875137 
5.0379752614482 
4.43711208741108 
-0.675511401722624 
-2.50684702275299 
2.35909448398834 
-6.31849429304567 
-3.81949862816358 
2.17307118170725 
4.13663986179168 
-6.96229654560136 
5.28008601863276 
4.2774558989149 




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=36687&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=36687&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36687&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 time1 seconds
R Server'George Udny Yule' @ 72.249.76.132







ParameterEstimated ValueStandard Deviation
mean-0.9423634616611070.727759393723537
standard deviation6.045223546366730.514603602374124

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & -0.942363461661107 & 0.727759393723537 \tabularnewline
standard deviation & 6.04522354636673 & 0.514603602374124 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36687&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]-0.942363461661107[/C][C]0.727759393723537[/C][/ROW]
[ROW][C]standard deviation[/C][C]6.04522354636673[/C][C]0.514603602374124[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36687&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36687&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
mean-0.9423634616611070.727759393723537
standard deviation6.045223546366730.514603602374124



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')