Free Statistics

of Irreproducible Research!

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 09:09:48 -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/t1226419844vwihbul2pvrgvu9.htm/, Retrieved Sun, 19 May 2024 08:51:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=23639, Retrieved Sun, 19 May 2024 08:51:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact146
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] [e81ac192d6ae6d77191d83851a692999] [Current]
F           [Maximum-likelihood Fitting - Normal Distribution] [Maximum-likelihoo...] [2008-11-11 17:44:35] [6816386b1f3c2f6c0c9f2aa1e5bc9362]
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
2008-11-18 20:42:59 [Gregory Van Overmeiren] [reply
Er is idd geen normaalverdeling aanwezig (Het histogram zou normaal gezien hetzelfde verloop moeten hebben als de Gauss-curve.)
2008-11-24 19:04:14 [Bart Haemels] [reply
correct geantwoord. De grafiek buigt af naar rechts.

Post a new message
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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23639&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23639&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23639&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







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=23639&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=23639&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23639&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')