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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 Nov 2010 21:39:02 +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/2010/Nov/15/t12898570519a1fzng40at9cnt.htm/, Retrieved Sun, 28 Apr 2024 00:32:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=95102, Retrieved Sun, 28 Apr 2024 00:32:22 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact138
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]
-   PD    [Maximum-likelihood Fitting - Normal Distribution] [Histogram Popularity] [2010-11-15 21:39:02] [9ea95e194e0eb2a674315798620d5bc6] [Current]
-    D      [Maximum-likelihood Fitting - Normal Distribution] [Histogram Finding...] [2010-11-15 21:48:02] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
-    D        [Maximum-likelihood Fitting - Normal Distribution] [Histogram knowing...] [2010-11-15 22:00:56] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
-    D        [Maximum-likelihood Fitting - Normal Distribution] [Histogram Liked] [2010-11-15 22:02:17] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
-    D        [Maximum-likelihood Fitting - Normal Distribution] [Histogram Celebrity] [2010-11-15 22:03:50] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
- R  D      [Maximum-likelihood Fitting - Normal Distribution] [histogram central...] [2010-12-10 16:15:11] [9f32078fdcdc094ca748857d5ebdb3de]
- RMPD      [Percentiles] [Q-Q plot centrale...] [2010-12-10 16:26:09] [9f32078fdcdc094ca748857d5ebdb3de]
- RMPD      [Tukey lambda PPCC Plot] [Centrale limietst...] [2010-12-10 16:38:06] [9f32078fdcdc094ca748857d5ebdb3de]
- RMPD      [Tukey lambda PPCC Plot] [Centrale limietst...] [2010-12-10 16:38:06] [9f32078fdcdc094ca748857d5ebdb3de]
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Dataseries X:
13
12
15
12
10
12
15
9
12
11
11
11
15
7
11
11
10
14
10
6
11
15
11
12
14
15
9
13
13
16
13
12
14
11
9
16
12
10
13
16
14
15
5
8
11
16
17
9
9
13
10
6
12
8
14
12
11
16
8
15
7
16
14
16
9
14
11
13
15
5
15
13
11
11
12
12
12
12
14
6
7
14
14
10
13
12
9
12
16
10
14
10
16
15
12
10
8
8
11
13
16
16
14
11
4
14
9
14
8
8
11
12
11
14
15
16
16
11
14
14
12
14
8
13
16
12
16
12
11
4
16
15
10
13
15
12
14
7
19
12
12
13
15
8
12
10
8
10
15
16
13
16
9
14
14
12




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=95102&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=95102&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=95102&T=0

As an alternative you can also use a 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'George Udny Yule' @ 72.249.76.132







ParameterEstimated ValueStandard Deviation
mean12.04487179487180.234363559105892
standard deviation2.927199915027640.165720061906790

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 12.0448717948718 & 0.234363559105892 \tabularnewline
standard deviation & 2.92719991502764 & 0.165720061906790 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=95102&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]12.0448717948718[/C][C]0.234363559105892[/C][/ROW]
[ROW][C]standard deviation[/C][C]2.92719991502764[/C][C]0.165720061906790[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=95102&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=95102&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

ParameterEstimated ValueStandard Deviation
mean12.04487179487180.234363559105892
standard deviation2.927199915027640.165720061906790



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')