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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 02:18:12 -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/t1226567982zkdzye5tgk18ga0.htm/, Retrieved Sun, 19 May 2024 06:42:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=24507, Retrieved Sun, 19 May 2024 06:42:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact178

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] [Stefan Temmerman] [2008-11-13 09:18:12] [7866e091edc3e3e9f6a037e9d19fcaa2] [Current]
F    D    [Maximum-likelihood Fitting - Normal Distribution] [] [2008-11-13 09:59:11] [d9be4962be2d3234142c279ef29acbcf]
Feedback Forum
2008-11-18 10:18:05 [72e979bcc364082694890d2eccc1a66f] [reply] 
We kunnen hier spreken van een redelijke normaalverdeling, die misschien een beetje naar de linkerkant toegaat.
2008-11-18 14:36:20 [Stefan Temmerman] [reply] 
De gegevens zijn niet goed normaal verdeeld. Tussen de waarden 40 en 50 is er een vertekening van de normaalverdeling, met een lage waarde. De QQ-plot is ook berekend, voor een extra bewijs te leveren.
2008-11-24 21:08:11 [5faab2fc6fb120339944528a32d48a04] [reply] 
Bij het vergelijken van het histogram en de normaalverdelingscurve kunnen we vaststellen dat de gegevens niet normaal verdeeld zijn. Er zijn te veel uitschieters en lage blokken in het histogram.

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
62
48
53
26
24
32
71
62
62
61
22
61
68
60
51
31
60
67
74
39
60
59
22
67
69
63
35
34
54
59
39
59
34
59
22
47
65

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=24507&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=24507&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=24507&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
mean50.83783783783782.59980150771050
standard deviation15.81397519731431.83833727584111

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 50.8378378378378 & 2.59980150771050 \tabularnewline
standard deviation & 15.8139751973143 & 1.83833727584111 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=24507&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]50.8378378378378[/C][C]2.59980150771050[/C][/ROW]
[ROW][C]standard deviation[/C][C]15.8139751973143[/C][C]1.83833727584111[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=24507&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=24507&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
mean50.83783783783782.59980150771050
standard deviation15.81397519731431.83833727584111


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')