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Description of Statistical Computation

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 computationFri, 15 Oct 2010 09:58:04 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Oct/15/t12871366290dsr2z4aqitirfm.htm/, Retrieved Mon, 29 Apr 2024 12:13:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=83377, Retrieved Mon, 29 Apr 2024 12:13:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact201

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Maximum-likelihood Fitting - Normal Distribution] [Intrinsic Motivat...] [2010-10-12 11:57:21] [b98453cac15ba1066b407e146608df68]
F   PD    [Maximum-likelihood Fitting - Normal Distribution] [Intrinsic Motivat...] [2010-10-15 09:58:04] [18ef3d986e8801a4b28404e69e5bf56b] [Current]
-           [Maximum-likelihood Fitting - Normal Distribution] [question 3: intri...] [2010-10-19 07:33:37] [814f53995537cd15c528d8efbf1cf544]
Feedback Forum
2010-10-23 07:28:03 [48eb36e2c01435ad7e4ea7854a9d98fe] [reply] 
Men ziet hier echter wel dat het histogram opgesteld op basis van de werkelijke waarnemingen (op enkele uitzonderingen na) dezelfde vorm aanneemt dan de volle lijn. Deze volle lijn is steeds de voorstelling van hoe de normaalverdeling op basis van deze gegevens er zal uitzien, op basis hiervan kunnen we dus wel concluderen dat het hier gaat om een normaalverdeling.
2010-10-24 08:26:12 [6f5a430a34dfbeab884e51a2f2a26434] [reply] 
Hier maak je een foute conclusie. Je moet kijken naar de vloeiende lijn boven de histogram, deze geeft een verloop van een normaalverdeling aan. Je moet je niet laten misleiden door de vorm van de histogram, want deze kan veranderen naar gelang de klassen worden aangepast.
2010-10-25 20:58:45 [Naoual Ahidar] [reply] 
Hier zien we een normaalverdeling. Er is geen sprake van uitlopers. Enkel in het midden zien we 1 staaf terug zakken.

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
21
15
18
11
8
19
4
20
16
14
10
13
14
8
23
11
9
24
5
15
5
19
6
13
11
17
17
5
9
15
17
17
20
12
7
16
7
14
24
15
15
10
14
18
12
9
9
8
18
10
17
14
16
10
19
10
14
10
4
19
9
12
16
11
18
11
24
17
18
9
19
18
12
23
22
14
14
16
23
7
10
12
12
12
17
21
16
11
14
13
9
19
13
19
13
13
13
14
12
22
11
5
18
19
14
15
12
19
15
17
8
10
12
12
20
12
12
14
6
10
18
18
7
18
9
17
22
11
15
17
15
22
9
13
20
14
14
12
20
20
8
17
9
18
22
10
13
15
18
18
12
12
20
12
16
16
18
16
13
17
13
17

Tables (Output of Computation)





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=83377&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=83377&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83377&T=0

As an alternative you can also use a QR Code:  
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
mean14.19753086419750.360341535793881
standard deviation4.586398983054510.254799943503028

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 14.1975308641975 & 0.360341535793881 \tabularnewline
standard deviation & 4.58639898305451 & 0.254799943503028 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=83377&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]14.1975308641975[/C][C]0.360341535793881[/C][/ROW]
[ROW][C]standard deviation[/C][C]4.58639898305451[/C][C]0.254799943503028[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=83377&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83377&T=1

As an alternative you can also use a QR Code:  
QR Code


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

ParameterEstimated ValueStandard Deviation
mean14.19753086419750.360341535793881
standard deviation4.586398983054510.254799943503028


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 8 ; par2 = 0 ;
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')