FreeStatistics.org

Free Statistics

of Irreproducible Research!

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, 10 Dec 2014 14:46:22 +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/10/t1418222963yfzj68xm5ypabxu.htm/, Retrieved Fri, 01 Nov 2024 01:02:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=265301, Retrieved Fri, 01 Nov 2024 01:02:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact133

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] [] [2014-12-10 14:46:22] [b4b65124834fa3a3e625dd03af063494] [Current]
- R  D    [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-10 16:38:28] [2add28fdfb91c9297fa0715b27e01e1f]
-   P     [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-12 15:07:24] [ccd66b5a2d6b0dd8c147f526ae5cbd1f]
- RMP     [Box-Cox Normality Plot] [] [2014-12-12 15:08:45] [ccd66b5a2d6b0dd8c147f526ae5cbd1f]
- RMP     [Tukey lambda PPCC Plot] [] [2014-12-12 15:10:10] [ccd66b5a2d6b0dd8c147f526ae5cbd1f]
- RMP     [Kernel Density Estimation] [] [2014-12-12 15:14:48] [ccd66b5a2d6b0dd8c147f526ae5cbd1f]
-   PD    [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-12 15:17:39] [ccd66b5a2d6b0dd8c147f526ae5cbd1f]
- RMPD    [Box-Cox Normality Plot] [] [2014-12-12 15:18:31] [ccd66b5a2d6b0dd8c147f526ae5cbd1f]
- RMPD    [Tukey lambda PPCC Plot] [] [2014-12-12 15:20:01] [ccd66b5a2d6b0dd8c147f526ae5cbd1f]
- RMPD    [Kernel Density Estimation] [] [2014-12-12 15:20:40] [ccd66b5a2d6b0dd8c147f526ae5cbd1f]
-   PD    [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-12 15:21:57] [ccd66b5a2d6b0dd8c147f526ae5cbd1f]
- RMPD    [Box-Cox Normality Plot] [] [2014-12-12 15:22:40] [ccd66b5a2d6b0dd8c147f526ae5cbd1f]
- RMPD    [Tukey lambda PPCC Plot] [] [2014-12-12 15:23:36] [ccd66b5a2d6b0dd8c147f526ae5cbd1f]
- RMPD    [Kernel Density Estimation] [] [2014-12-12 15:24:20] [ccd66b5a2d6b0dd8c147f526ae5cbd1f]
-   PD    [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-12 15:25:35] [ccd66b5a2d6b0dd8c147f526ae5cbd1f]
- RMPD    [Box-Cox Normality Plot] [] [2014-12-12 15:26:25] [ccd66b5a2d6b0dd8c147f526ae5cbd1f]
- RMPD    [Tukey lambda PPCC Plot] [] [2014-12-12 15:26:44] [ccd66b5a2d6b0dd8c147f526ae5cbd1f]
- RMPD    [Kernel Density Estimation] [] [2014-12-12 15:27:08] [ccd66b5a2d6b0dd8c147f526ae5cbd1f]
-   PD    [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-12 15:31:11] [ccd66b5a2d6b0dd8c147f526ae5cbd1f]
- RMPD    [Box-Cox Normality Plot] [] [2014-12-12 15:32:11] [ccd66b5a2d6b0dd8c147f526ae5cbd1f]
- RMPD    [Tukey lambda PPCC Plot] [] [2014-12-12 15:32:32] [ccd66b5a2d6b0dd8c147f526ae5cbd1f]
- RMPD    [Kernel Density Estimation] [] [2014-12-12 15:32:54] [ccd66b5a2d6b0dd8c147f526ae5cbd1f]
-   PD    [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-12 15:33:44] [ccd66b5a2d6b0dd8c147f526ae5cbd1f]
- RMPD    [Box-Cox Normality Plot] [] [2014-12-12 15:34:32] [ccd66b5a2d6b0dd8c147f526ae5cbd1f]
- RMPD    [Tukey lambda PPCC Plot] [] [2014-12-12 15:34:50] [ccd66b5a2d6b0dd8c147f526ae5cbd1f]
- RMPD    [Kernel Density Estimation] [] [2014-12-12 15:35:16] [ccd66b5a2d6b0dd8c147f526ae5cbd1f]
- RM      [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-15 09:56:36] [ccd66b5a2d6b0dd8c147f526ae5cbd1f]
- R  D    [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-15 11:26:46] [ccd66b5a2d6b0dd8c147f526ae5cbd1f]
-    D      [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-15 11:34:29] [ccd66b5a2d6b0dd8c147f526ae5cbd1f]
-    D        [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-15 11:38:53] [ccd66b5a2d6b0dd8c147f526ae5cbd1f]
-   PD          [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-15 11:43:24] [ccd66b5a2d6b0dd8c147f526ae5cbd1f]
-   PD          [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-15 13:43:51] [ccd66b5a2d6b0dd8c147f526ae5cbd1f]
-   PD        [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-15 11:52:41] [ccd66b5a2d6b0dd8c147f526ae5cbd1f]
-   PD        [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-15 14:18:36] [ccd66b5a2d6b0dd8c147f526ae5cbd1f]
-   PD      [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-15 13:56:46] [ccd66b5a2d6b0dd8c147f526ae5cbd1f]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
11
19
16
24
15
17
19
19
28
26
15
26
16
24
25
22
15
21
22
27
26
26
22
21
22
20
21
20
22
21
8
22
20
24
17
20
23
20
22
19
15
20
22
17
14
24
17
23
25
16
18
20
18
23
24
23
13
20
20
19
22
22
15
17
19
20
22
21
21
16
20
21
20
23
18
22
16
17
24
13
19
20
22
19
21
15
21
24
22
20
21
19
14
25
11
17
22
20
22
15
23
20
22
16
25
18
19
25
21
22
21
22
23
20
6
15
18
24
22
21
23
20
20
18
25
16
20
14
22
26
20
17
22
22
20
17
22
17
22
21
25
11
19
24
17
22
17
26
20
19
21
24
21
19
13
24
28
27
22
23
19
18
23
21
22
17
15
21
20
26
19
28
21
19
22
21
20
19
11
17
19
20
17
21
21
12
23
22
22
21
20
18
21
24
22
20
17
19
16
19
23
8
22
23
15
17
21
25
18
20
21
21
24
22
22
23
17
15
22
19
18
21
20
19
19
16
18
23
22
23
20
24
25
25
20
23
21
23
23
11
21
27
19
21
16
21
22
16
18
23
24
20
20
18
4
14
22
17
23
20
18
19
20
15
24
21
19
19
27
23
23
20
17
21
23
22
16
20
16
21
19
27
13
17
18
20
22
18
6
22
15
19
17
22
10
21
23
18
20
27
13
20
20
22
20
23
19
22
24
21
19
20
16
17
25
16
23
20
23
22
15
16
20
23
24
17
19
25
14
18
22
15
27
22
26
16
25
20
19
19
24
14
18
13
19
25
20
17
17
13
20
20
24
25
19
20
20
22
18
21
20
11
18
22
21
15
23
18
23
19
23
26
19
26
20
20
23
24
26
23
19
25
23
19
27
23
24
20
16
22
26
26
24
20
20
12
21
27
26
17
20
18
28
24
24
24
12
26
23
13
23
16
23
18
25
18
18
21
7
19
21
17
22
15
20
19
10
18
25
23
25
23
21
23
19
22
23
15
23
23
24
20
23
24
21
19
23
22
14
19
21
23
16
23
19
19
22
26
22
24
24
11
21
21
22
22
19
18
19
27
14
15
20
22
26
20
13
26
19
20
18
20
21
26
25
20
21

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=265301&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=265301&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265301&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
mean20.17248459958930.173356446385604
standard deviation3.825643318995850.122581518801663

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 20.1724845995893 & 0.173356446385604 \tabularnewline
standard deviation & 3.82564331899585 & 0.122581518801663 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265301&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]20.1724845995893[/C][C]0.173356446385604[/C][/ROW]
[ROW][C]standard deviation[/C][C]3.82564331899585[/C][C]0.122581518801663[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265301&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265301&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
mean20.17248459958930.173356446385604
standard deviation3.825643318995850.122581518801663


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')