Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_fitdistrnorm.wasp

Title produced by software

Maximum-likelihood Fitting - Normal Distribution

Date of computation

Tue, 11 Nov 2008 14:28:51 -0700

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Nov/11/t12264389801o9u1k6o3smybz8.htm/, Retrieved Sun, 19 May 2024 08:53:08 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=23993, Retrieved Sun, 19 May 2024 08:53:08 +0000

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

188

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

F     [Univariate Data Series] [Niet werkende wer...] [2008-10-13 17:30:07] [91d2608132ba5d00ecce3524d8276757]
F RMPD  [Partial Correlation] [Partial Correlati...] [2008-11-11 19:49:25] [deb3c14ac9e4607a6d84fc9d0e0e6cc2]
F    D    [Partial Correlation] [Partial Correlati...] [2008-11-11 19:56:04] [deb3c14ac9e4607a6d84fc9d0e0e6cc2]
F RM D      [Box-Cox Linearity Plot] [Box-Cox Linearity...] [2008-11-11 21:16:20] [deb3c14ac9e4607a6d84fc9d0e0e6cc2]
F RM D        [Box-Cox Normality Plot] [Box-Cox Normality...] [2008-11-11 21:26:55] [deb3c14ac9e4607a6d84fc9d0e0e6cc2]
F RM              [Maximum-likelihood Fitting - Normal Distribution] [Maximum-likelihoo...] [2008-11-11 21:28:51] [5e9e099b83e50415d7642e10d74756e4] [Current]
F   PD              [Maximum-likelihood Fitting - Normal Distribution] [] [2008-11-12 13:54:54] [8d2ae74f923b31b35e9e42977c3c4399] 
-   PD              [Maximum-likelihood Fitting - Normal Distribution] [Various EDA topic...] [2008-11-18 20:01:30] [82970caad4b026be9dd352fdec547fe4] 

Feedback Forum

2008-11-18 18:29:41 [Ruben Jacobs] [reply] 
Ik denk dat normaalverdeling een goede benadering is voor Yt. Op de grafiek worden de echte waarden weergeven door het histogram en de geschatte waarden door de curve. Je kan zien dat het histogram zeer goed overéénkomt met de curve. Je kan dus concluderen dat de normaalverdeling een zeer goede benadering is voor Yt.

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23993&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23993&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23993&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Parameter	Estimated Value	Standard Deviation
mean	296558.081967213	2966.20447228489
standard deviation	23166.7975183359	2097.42329673851

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 296558.081967213 & 2966.20447228489 \tabularnewline
standard deviation & 23166.7975183359 & 2097.42329673851 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23993&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]296558.081967213[/C][C]2966.20447228489[/C][/ROW]
[ROW][C]standard deviation[/C][C]23166.7975183359[/C][C]2097.42329673851[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23993&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23993&T=1

As an alternative you can also use a QR Code:

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

Parameter	Estimated Value	Standard Deviation
mean	296558.081967213	2966.20447228489
standard deviation	23166.7975183359	2097.42329673851

Figure 1

PNG link

Postscript link

PDF link

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code