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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 computationMon, 18 Oct 2010 17:42:19 +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/18/t1287423667j0ivcgpw0vqhi9c.htm/, Retrieved Sat, 04 May 2024 05:49:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=85087, Retrieved Sat, 04 May 2024 05:49:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact124

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] [] [2010-10-18 17:42:19] [6fde1c772c7be11768d9b6a0344566b2] [Current]
Feedback Forum
2010-10-23 13:38:03 [48eb36e2c01435ad7e4ea7854a9d98fe] [reply] 
De student heeft ook hier de software op een correcte manier gebruikt, maar de resultaten werden verder niet besproken. Men kan hier vaststellen dat de gegevens (bijna) normaal verdeeld zijn. Dit kan men afleiden uit feit dat de vorm van het histogram zeer sterke gelijkenissen vertoond met de vorm van de volle lijn die de normaalverdeling reprsenteert.

Eventuele uitschieters van het histogram ten opzichte van deze volle lijn zou men eventueel kunnen trachten weg te werken door de klassenverdeling van het histogram aan te passen.

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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
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19
6
13
11
17
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5
9
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20
12
7
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7
14
24
15
15
10
14
18
12
9
9
8
18
10
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14
16
10
19
10
14
10
4
19
9
12
16
11
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11
24
17
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9
19
18
12
23
22
14
14
16
23
7
10
12
12
12
17
21
16
11
14
13
9
19
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19
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13
13
14
12
22
11
5
18
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14
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19
15
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8
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12
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12
12
14
6
10
18
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7
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22
11
15
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15
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9
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20
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14
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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'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 & 1 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=85087&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=85087&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=85087&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






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=85087&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=85087&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=85087&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')