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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_fitdistrnorm.wasp
Title produced by softwareMaximum-likelihood Fitting - Normal Distribution
Date of computationThu, 13 Nov 2008 15:13:09 -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/13/t1226614434w8em2aejybnz651.htm/, Retrieved Sun, 19 May 2024 08:19:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=24866, Retrieved Sun, 19 May 2024 08:19:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact146

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [Maximum-likelihood Fitting - Normal Distribution] [Maximum-likelihoo...] [2008-11-13 22:13:09] [6af198e0108e278de39b2b3c538c1a2b] [Current]
Feedback Forum
2008-11-16 13:11:35 [Nicolaj Wuyts] [reply] 
De figuur is inderdaad geen voorbeeld van een normaalverdeling. Bij een normaalverdeling zouden de middenste waarden veel geconcentreerder moeten zijn.
2008-11-16 15:29:27 [Julie Govaerts] [reply] 
is inderdaad niet normaal verdeel
2008-11-22 13:22:09 [Gilliam Schoorel] [reply] 
Hier geld inderdaad geen normaalverdeling, maar duidelijk een linksscheve verdeling. Conclusie OK.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
93
87
89
91
108
124
104
107
116
70
126
119
102
88
71
76
84
125
122
93
117
71
118
115
101
106
79
77
85
124
115
115
114
75
114
121
113
104
84
113
120
127
92
113
112
75
120
122
116
88
87
107
112
92
112
87
112
75
100
118

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=24866&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=24866&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=24866&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
mean102.3833333333332.1863327573647
standard deviation16.93526071708241.54597071866286

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 102.383333333333 & 2.1863327573647 \tabularnewline
standard deviation & 16.9352607170824 & 1.54597071866286 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=24866&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]102.383333333333[/C][C]2.1863327573647[/C][/ROW]
[ROW][C]standard deviation[/C][C]16.9352607170824[/C][C]1.54597071866286[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=24866&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=24866&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
mean102.3833333333332.1863327573647
standard deviation16.93526071708241.54597071866286


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')