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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, 17 Oct 2011 15:39:38 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Oct/17/t1318880414m14il74z839mn0v.htm/, Retrieved Wed, 15 May 2024 23:34:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=131138, Retrieved Wed, 15 May 2024 23:34:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact76

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  D    [Maximum-likelihood Fitting - Normal Distribution] [Workshop 3 - Task...] [2011-10-17 19:39:38] [9afaf62527660fe62ab98f95fea710a5] [Current]
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Dataset

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

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' @ jenkins.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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=131138&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=131138&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=131138&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' @ jenkins.wessa.net


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')