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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, 03 Dec 2014 12:36:38 +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/03/t1417610246zvqf6qlw9qh9mra.htm/, Retrieved Sun, 19 May 2024 10:22:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=262939, Retrieved Sun, 19 May 2024 10:22:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact122

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] [d454767f31e55c992bbabd9ca35571ec] [Current]
-   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 PO...] [2014-12-08 16:35:12] [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] [a973c0e834bbe3ac475ff4c54470c2b0]
-    D                    [Maximum-likelihood Fitting - Normal Distribution] [Spreiding data PO...] [2014-12-09 12:05:29] [a973c0e834bbe3ac475ff4c54470c2b0]
- RMPD        [Notched Boxplots] [Boxplots seizoen ...] [2014-12-03 13:34:39] [c341f9bcf4df135dba5d5e55978631fd]
- R  D          [Notched Boxplots] [Multiple boxplots...] [2014-12-08 17:04:32] [a973c0e834bbe3ac475ff4c54470c2b0]
-    D            [Notched Boxplots] [Boxplot voetbalse...] [2014-12-09 11:56:58] [a973c0e834bbe3ac475ff4c54470c2b0]
-   PD              [Notched Boxplots] [Boxplot voetbalse...] [2014-12-09 12:54:07] [a973c0e834bbe3ac475ff4c54470c2b0]
- RM D                [Paired and Unpaired Two Samples Tests about the Mean] [Two sided t test ...] [2014-12-09 15:34:28] [a973c0e834bbe3ac475ff4c54470c2b0]
- R  D                  [Paired and Unpaired Two Samples Tests about the Mean] [Two sided t test ...] [2014-12-09 16:10:26] [a973c0e834bbe3ac475ff4c54470c2b0]
- R  D                  [Paired and Unpaired Two Samples Tests about the Mean] [Two sided t test ...] [2014-12-09 16:36:25] [a973c0e834bbe3ac475ff4c54470c2b0]
-   PD                    [Paired and Unpaired Two Samples Tests about the Mean] [two sample t-test...] [2014-12-10 12:48:04] [c341f9bcf4df135dba5d5e55978631fd]
-    D                      [Paired and Unpaired Two Samples Tests about the Mean] [two sample t-test...] [2014-12-10 13:07:41] [c341f9bcf4df135dba5d5e55978631fd]
- RMPD                      [Mean versus Median] [Normaalverdeling ...] [2014-12-10 14:35:37] [c341f9bcf4df135dba5d5e55978631fd]
- RMPD                      [Mean versus Median] [Normaalverdeling ...] [2014-12-10 14:37:03] [c341f9bcf4df135dba5d5e55978631fd]
-   P                 [Notched Boxplots] [Multiple boxplots...] [2014-12-10 12:57:00] [c341f9bcf4df135dba5d5e55978631fd]
-   PD            [Notched Boxplots] [Boxplot voetbalse...] [2014-12-09 16:28:01] [a973c0e834bbe3ac475ff4c54470c2b0]
-   PD              [Notched Boxplots] [Multiple boxplots...] [2014-12-10 12:22:16] [c341f9bcf4df135dba5d5e55978631fd]
- RMP         [Histogram] [Frequentietabel s...] [2014-12-03 15:07:27] [c341f9bcf4df135dba5d5e55978631fd]
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Dataset

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

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=262939&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=262939&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=262939&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
mean2.633333333333330.260270514543505
standard deviation1.425560318689540.184039045776624

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 2.63333333333333 & 0.260270514543505 \tabularnewline
standard deviation & 1.42556031868954 & 0.184039045776624 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=262939&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]2.63333333333333[/C][C]0.260270514543505[/C][/ROW]
[ROW][C]standard deviation[/C][C]1.42556031868954[/C][C]0.184039045776624[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=262939&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=262939&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
mean2.633333333333330.260270514543505
standard deviation1.425560318689540.184039045776624


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 8 ; par2 = 6 ;
Parameters (R input):
par1 = 8 ; par2 = 6 ;
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')