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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 computationWed, 12 Nov 2008 06:54:54 -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/12/t1226498128kqeac7ei3cp4253.htm/, Retrieved Sun, 19 May 2024 05:48:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=24189, Retrieved Sun, 19 May 2024 05:48:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact173

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Data Series] [Niet werkende wer...] [2008-10-13 17:30:07] [91d2608132ba5d00ecce3524d8276757]
F RMPD  [Partial Correlation] [Partial Correlati...] [2008-11-11 19:49:25] [deb3c14ac9e4607a6d84fc9d0e0e6cc2]
F    D    [Partial Correlation] [Partial Correlati...] [2008-11-11 19:56:04] [deb3c14ac9e4607a6d84fc9d0e0e6cc2]
F RM D      [Box-Cox Linearity Plot] [Box-Cox Linearity...] [2008-11-11 21:16:20] [deb3c14ac9e4607a6d84fc9d0e0e6cc2]
F RM D        [Box-Cox Normality Plot] [Box-Cox Normality...] [2008-11-11 21:26:55] [deb3c14ac9e4607a6d84fc9d0e0e6cc2]
F RM            [Maximum-likelihood Fitting - Normal Distribution] [Maximum-likelihoo...] [2008-11-11 21:28:51] [deb3c14ac9e4607a6d84fc9d0e0e6cc2]
F   PD              [Maximum-likelihood Fitting - Normal Distribution] [] [2008-11-12 13:54:54] [890f958132adb51f538eb267509d2e70] [Current]
Feedback Forum
2008-11-20 17:12:26 [Gert-Jan Geudens] [reply] 
Geen conclusie gegeven. De gegevens lijken ongeveer de normaalverdeling te benaderen. De meeste gegevens situeren zich rond het gemiddele en er is niet echt sprake van een rechtsscheefheid of linksscheefheid.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
98.6
98
106.8
96.7
100.2
107.7
92
98.4
107.4
117.7
105.7
97.5
99.9
98.2
104.5
100.8
101.5
103.9
99.6
98.4
112.7
118.4
108.1
105.4
114.6
106.9
115.9
109.8
101.8
114.2
110.8
108.4
127.5
128.6
116.6
127.4
105
108.3
125
111.6
106.5
130.3
115
116.1
134
126.5
125.8
136.4
114.9
110.9
125.5
116.8
116.8
125.5
104.2
115.1
132.8
123.3
124.8
122
117.4
117.9
137.4
114.6
124.7
129.6
109.4
120.9
134.9
136.3
133.2
127.2
122.7
120.5
137.8
119.1
124.3
134.4
121.1
122.2
127.7
137.4
132.2
129.2
124.9
124.8
128.2
134.4
118.6
132.6
123.2
112.3

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=24189&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=24189&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=24189&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
mean117.0086956521741.23791955727286
standard deviation11.87370727218900.875341313511085

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 117.008695652174 & 1.23791955727286 \tabularnewline
standard deviation & 11.8737072721890 & 0.875341313511085 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=24189&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]117.008695652174[/C][C]1.23791955727286[/C][/ROW]
[ROW][C]standard deviation[/C][C]11.8737072721890[/C][C]0.875341313511085[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=24189&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=24189&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
mean117.0086956521741.23791955727286
standard deviation11.87370727218900.875341313511085


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')