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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 computationTue, 09 Dec 2014 11:51:07 +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/09/t14181258868vr4a2z5qk3rn02.htm/, Retrieved Tue, 04 Nov 2025 12:55:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=264488, Retrieved Tue, 04 Nov 2025 12:55:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact259

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]
- RMP   [Maximum-likelihood Fitting - Normal Distribution] [] [2014-10-09 22:24:34] [32b17a345b130fdf5cc88718ed94a974]
- R PD    [Maximum-likelihood Fitting - Normal Distribution] [Histogram &Densit...] [2014-12-03 12:36:38] [c341f9bcf4df135dba5d5e55978631fd]
-   PD      [Maximum-likelihood Fitting - Normal Distribution] [Histogram &Densit...] [2014-12-03 13:02:28] [c341f9bcf4df135dba5d5e55978631fd]
-    D        [Maximum-likelihood Fitting - Normal Distribution] [Spreiding data RC...] [2014-12-08 16:25:19] [a973c0e834bbe3ac475ff4c54470c2b0]
-    D          [Maximum-likelihood Fitting - Normal Distribution] [Spreiding data RC...] [2014-12-08 18:24:16] [a973c0e834bbe3ac475ff4c54470c2b0]
-    D            [Maximum-likelihood Fitting - Normal Distribution] [Spreiding data PO...] [2014-12-08 18:42:02] [a973c0e834bbe3ac475ff4c54470c2b0]
-    D              [Maximum-likelihood Fitting - Normal Distribution] [Spreiding data RC...] [2014-12-09 11:49:12] [a973c0e834bbe3ac475ff4c54470c2b0]
-                       [Maximum-likelihood Fitting - Normal Distribution] [Spreiding data RC...] [2014-12-09 11:51:07] [c1a39181a3b44a9ce4729a0a50ab187e] [Current]
-    D                    [Maximum-likelihood Fitting - Normal Distribution] [Spreiding data PO...] [2014-12-09 12:05:29] [a973c0e834bbe3ac475ff4c54470c2b0]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4
7
1
4
3
6
2
5
1
4
1
2
2
6
5
3
7
2
2
2
1
3
2
4
0
5
3
0
5
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' @ 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=264488&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=264488&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264488&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






ParameterEstimated ValueStandard Deviation
mean3.166666666666670.349867699862973
standard deviation1.916304313573970.247393823091248

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 3.16666666666667 & 0.349867699862973 \tabularnewline
standard deviation & 1.91630431357397 & 0.247393823091248 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264488&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]3.16666666666667[/C][C]0.349867699862973[/C][/ROW]
[ROW][C]standard deviation[/C][C]1.91630431357397[/C][C]0.247393823091248[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264488&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264488&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
mean3.166666666666670.349867699862973
standard deviation1.916304313573970.247393823091248


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 8 ; par2 = 8 ;
Parameters (R input):
par1 = 8 ; par2 = 8 ;
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')