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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, 15 Dec 2014 13:43:44 +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/2014/Dec/15/t1418651050bpyl7nxsr161zmi.htm/, Retrieved Thu, 16 May 2024 17:33:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=268379, Retrieved Thu, 16 May 2024 17:33:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact58

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]
- R PD  [Maximum-likelihood Fitting - Normal Distribution] [] [2011-10-18 22:32:38] [b98453cac15ba1066b407e146608df68]
- RMPD    [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-12 15:37:02] [b2fe7fef0850359c2a41ad606a8f04c2]
- R PD        [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-15 13:43:44] [f403c9f98aaaf69e3ef2a3935929401f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
8	9
8	9
8	8
7	8
9	8
8	8
7	8
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8	3
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3	9
9	8
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9	6
7	8
7	7
7	6
8	8
7	8
8	8
8	7
9	9
6	8
8	4
8	8
7	6
8	7
7	3
7	8
9	8
7	5
9	7
6	8
9	7
9	6
9	2
8	4
9	8
5	6
8	8
9	7
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9	7
7	6
7	9
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8	7
6	7
6	9
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9	3
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7	7
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9	6
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8	8
8	9
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8	8
8	9
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3	5
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9	4
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7	1
7	8
8	9
8	8
7	8
6	8
9	4
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5	6
6	8
9	4
9	
8	5
4	5
8	7
9	8
8	8
8	9
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8	6
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8	9
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2	6
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NA	7
8	4
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7	8
6	8
9	8
6	8
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6	5
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NA	7
9	4
6	6
5	6
6	6
8	4
3	5
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8	7
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5	4
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9	8
9	6
8	4
8	8
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NA	9
NA	4
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NA	7
NA	9
NA	7
NA	5
NA	8
NA	7
NA	5
NA	8
NA	9
NA	8
NA	6
NA	2
NA	9
NA	4
NA	7
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NA	5
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NA	5
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NA	7
NA	5
NA	7
NA	8
NA	6
NA	6
NA	6
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NA	8
NA	7
NA	6
NA	3
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NA	8
NA	8
NA	7
NA	5
NA	5

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

\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 & 0 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268379&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268379&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268379&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 time0 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ;
Parameters (R input):
par1 = 3 ; par2 = 0 ;
R code (references can be found in the software module):
par2 <- '0'
par1 <- '3'
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')