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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 computationTue, 11 Nov 2008 10:44:35 -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/11/t1226425514f05zuwk0olt5aq6.htm/, Retrieved Sun, 19 May 2024 11:29:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=23776, Retrieved Sun, 19 May 2024 11:29:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact124
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Maximum-likelihood Fitting - Normal Distribution] [various eda topîc...] [2008-11-04 20:49:44] [077ffec662d24c06be4c491541a44245]
F   P   [Maximum-likelihood Fitting - Normal Distribution] [Maximum-likelihoo...] [2008-11-11 16:09:48] [73d6180dc45497329efd1b6934a84aba]
F           [Maximum-likelihood Fitting - Normal Distribution] [Maximum-likelihoo...] [2008-11-11 17:44:35] [14a75ec03b2c0d8ddd8b141a7b1594fd] [Current]
F   P         [Maximum-likelihood Fitting - Normal Distribution] [] [2008-11-11 20:10:08] [a7a7b7de998247cdf0f65ef79d563d66]
-   P         [Maximum-likelihood Fitting - Normal Distribution] [] [2008-11-21 18:07:46] [888addc516c3b812dd7be4bd54caa358]
Feedback Forum
2008-11-20 23:33:11 [Olivier Uyttendaele] [reply
Dit is een conclusie die ik ook zou maken, misschien mag de stelling dat er totaal geen normaalverdeling is, iets genuanceerder kunnen. Het is geen perfecte normaalverdeling maar ook geen atypische verdeling.
2008-11-22 10:57:15 [Kenny Simons] [reply
Het histogram heeft hier inderdaad niet hetzelfde verloop als de Gauss-curve, maar het wijkt er nu ook weer niet dramatisch van af. We hebben hier dus niet te maken met een perfecte normaalverdeling, maar we hebben nu ook niet echt te maken met een zeer opvallende afwijking

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Dataseries X:
12300.00
12092.80
12380.80
12196.90
9455.00
13168.00
13427.90
11980.50
11884.80
11691.70
12233.80
14341.40
13130.70
12421.10
14285.80
12864.60
11160.20
14316.20
14388.70
14013.90
13419.00
12769.60
13315.50
15332.90
14243.00
13824.40
14962.90
13202.90
12199.00
15508.90
14199.80
15169.60
14058.00
13786.20
14147.90
16541.70
13587.50
15582.40
15802.80
14130.50
12923.20
15612.20
16033.70
16036.60
14037.80
15330.60
15038.30
17401.80
14992.50
16043.70
16929.60
15921.30
14417.20
15961.00
17851.90
16483.90
14215.50
17429.70
17839.50
17629.20




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23776&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23776&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23776&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'Gwilym Jenkins' @ 72.249.127.135







ParameterEstimated ValueStandard Deviation
mean14294.1416666667231.382509390015
standard deviation1792.28121094242163.612141437640

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 14294.1416666667 & 231.382509390015 \tabularnewline
standard deviation & 1792.28121094242 & 163.612141437640 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23776&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]14294.1416666667[/C][C]231.382509390015[/C][/ROW]
[ROW][C]standard deviation[/C][C]1792.28121094242[/C][C]163.612141437640[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23776&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23776&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
mean14294.1416666667231.382509390015
standard deviation1792.28121094242163.612141437640



Parameters (Session):
par1 = 50 ; par2 = 50 ; par3 = Y ; par4 = Y ; par5 = uitvoer Vlaanderen ; par6 = uitvoer Belgie naar landen buiten EU ; par7 = uitvoer Belgie (totaal) ;
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')