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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 computationTue, 11 Nov 2008 08:10:16 -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/t1226416328i8ahsv0159crppf.htm/, Retrieved Sun, 19 May 2024 09:22:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=23577, Retrieved Sun, 19 May 2024 09:22:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact166

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Box-Cox Linearity Plot] [Box-Cox] [2008-11-11 14:29:04] [adb6b6905cde49db36d59ca44433140d]
F RMPD    [Maximum-likelihood Fitting - Normal Distribution] [Maximum likehood ...] [2008-11-11 15:10:16] [6d5cd2fe15d123a10639b4bf141c23b5] [Current]
F    D      [Maximum-likelihood Fitting - Normal Distribution] [Maximum-likelihoo...] [2008-11-11 23:51:03] [b591abfa820a394aeb0c5ebd9cfa1091]
F    D        [Maximum-likelihood Fitting - Normal Distribution] [normal distribution] [2008-11-13 08:47:07] [3b5d63cebdc58ed6c519cdb5b6a36d46]
Feedback Forum
2008-11-14 13:45:29 [Dana Molenberghs] [reply] 
Ik denk dat we hier eerder te maken hebben met een rechtsscheve verdeling en niet met een normaalverdeling.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
57.42
56.12
59.15
63.77
63.96
57.81
55.3
51.8
53.26
53.38
45.85
44.23
40.22
44.61
49.14
42.94
41.84
37.75
35.54
37.13
33.19
32.67
30.52
30.7
29.59
28.76
29.08
26.95
29.58
28.24
27.28
25.48
24.87
29.87
32.33
30.23
27.46
24.46
27.34
28.37
26.09
25.59
24.67
25.61
25.97
24.31
20.36
19.82
19.32
19.2
21.74
26.29
25.9
25.36
27.64
28.57
25.38
25.71
27.6
25.85
26.54

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23577&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23577&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23577&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'George Udny Yule' @ 72.249.76.132






ParameterEstimated ValueStandard Deviation
mean34.19196721311481.55260829548139
standard deviation12.12625843659351.09785985426138

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 34.1919672131148 & 1.55260829548139 \tabularnewline
standard deviation & 12.1262584365935 & 1.09785985426138 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23577&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]34.1919672131148[/C][C]1.55260829548139[/C][/ROW]
[ROW][C]standard deviation[/C][C]12.1262584365935[/C][C]1.09785985426138[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23577&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23577&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
mean34.19196721311481.55260829548139
standard deviation12.12625843659351.09785985426138


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')