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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, 21 Oct 2013 13:55:00 -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/2013/Oct/21/t1382378120reyeqqjm3swst6m.htm/, Retrieved Sun, 28 Apr 2024 22:36:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=217683, Retrieved Sun, 28 Apr 2024 22:36:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact70

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kernel Density Estimation] [] [2013-10-21 17:32:21] [39cbfe47c159a412f7ecb12deab05d66]
- RMPD    [Maximum-likelihood Fitting - Normal Distribution] [e2] [2013-10-21 17:55:00] [e79f8ee2cb0f5e6995c7e7c276aa82d6] [Current]
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Dataset

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

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=217683&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=217683&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=217683&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'Gertrude Mary Cox' @ cox.wessa.net


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')