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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 computationFri, 23 Dec 2011 05:20:02 -0500
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/Dec/23/t13246358570zneorr9f1uhdsl.htm/, Retrieved Mon, 29 Apr 2024 20:11:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=160243, Retrieved Mon, 29 Apr 2024 20:11:48 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact74

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 PD  [Maximum-likelihood Fitting - Normal Distribution] [WS III-Question 3...] [2011-10-17 17:21:00] [7c680a04865e75aa8ab422cdbfd97ac3]
-    D    [Maximum-likelihood Fitting - Normal Distribution] [WS III-Question 3...] [2011-10-17 17:22:58] [7c680a04865e75aa8ab422cdbfd97ac3]
-    D      [Maximum-likelihood Fitting - Normal Distribution] [WS III-Question 3...] [2011-10-17 17:24:26] [7c680a04865e75aa8ab422cdbfd97ac3]
-    D          [Maximum-likelihood Fitting - Normal Distribution] [Paper density en ...] [2011-12-23 10:20:02] [3e388c05c22237d436c48535c44f60bb] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
30
28
38
30
22
26
25
18
11
26
25
38
44
30
40
34
47
30
31
23
36
36
30
25
39
34
31
31
33
25
33
35
42
43
30
33
13
32
36
0
28
14
17
32
30
35
20
28
28
39
34
26
39
39
33
28
4
39
18
14
29
44
21
16
28
35
28
38
23
36
32
29
25
27
36
28
23
40
23
40
28
34
33
28
34
30
33
22
38
26
35
8
24
29
20
29
45
37
33
33
25
32
29
28
28
31
52
21
24
41
33
32
19
20
31
31
32
18
23
17
20
12
17
30
31
10
13
22
42
1
9
32
11
25
36
31
0
24
13
8
13
19
18
33
40
22
38
24
8
35
43
43
14
41
38
45
31
13
28
31
40
30
16
37
30
35
32
27
20
18
31
31
21
39
41
13
32
18
39
14
7
17
0
30
37
0
5
1
16
32
24
17
11
24
22
12
19
13
17
15
16
24
15
17
18
20
16
16
18
22
8
17
18
16
23
22
13
13
16
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20
22
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18
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12
7
17
14
23
17
14
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21
18
18
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21
16
14
15
17
15
15
10
6
22
21
1
18
17
4
10
16
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9
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7
15
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12
16
21
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16
1
16
10
19
12
2
14
17
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14
11
4
16
20
12
15
16

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160243&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160243&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160243&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'Herman Ole Andreas Wold' @ wold.wessa.net






ParameterEstimated ValueStandard Deviation
mean23.30103806228370.622171979143117
standard deviation10.5769236454330.439942025516353

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 23.3010380622837 & 0.622171979143117 \tabularnewline
standard deviation & 10.576923645433 & 0.439942025516353 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160243&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]23.3010380622837[/C][C]0.622171979143117[/C][/ROW]
[ROW][C]standard deviation[/C][C]10.576923645433[/C][C]0.439942025516353[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160243&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160243&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
mean23.30103806228370.622171979143117
standard deviation10.5769236454330.439942025516353


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')