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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 computationSun, 14 Oct 2012 07:22:43 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Oct/14/t1350213783z65fpvb5jhk55z5.htm/, Retrieved Sat, 27 Apr 2024 21:15:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=176072, Retrieved Sat, 27 Apr 2024 21:15:24 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact69
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 3 taak 2] [2012-10-14 11:22:43] [b978e7065c97f96318dd84fbbd850f19] [Current]
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Dataseries X:
23	17	23
24	17	20
22	18	20
20	21	21
24	20	24
27	28	22
28	19	23
27	22	20
24	16	25
23	18	23
24	25	27
27	17	27
27	14	22
28	11	24
27	27	25
23	20	22
24	22	28
28	22	28
27	21	27
25	23	25
19	17	16
24	24	28
20	14	21
28	17	24
26	23	27
23	24	14
23	24	14
20	8	27
11	22	20
24	23	21
25	25	22
23	21	21
18	24	12
20	15	20
20	22	24
24	21	19
23	25	28
25	16	23
28	28	27
26	23	22
26	21	27
23	21	26
22	26	22
24	22	21
21	21	19
20	18	24
22	12	19
20	25	26
25	17	22
20	24	28
22	15	21
23	13	23
25	26	28
23	16	10
23	24	24
22	21	21
24	20	21
25	14	24
21	25	24
12	25	25
17	20	25
20	22	23
23	20	21
23	26	16
20	18	17
28	22	25
24	24	24
24	17	23
24	24	25
24	20	23
28	19	28
25	20	26
21	15	22
25	23	19
25	26	26
18	22	18
17	20	18
26	24	25
28	26	27
21	21	12
27	25	15
22	13	21
21	20	23
25	22	22
22	23	21
23	28	24
26	22	27
19	20	22
25	6	28
21	21	26
13	20	10
24	18	19
25	23	22
26	20	21
25	24	24
25	22	25
22	21	21
21	18	20
23	21	21
25	23	24
24	23	23
21	15	18
21	21	24
25	24	24
22	23	19
20	21	20
20	21	18
23	20	20
28	11	27
23	22	23
28	27	26
24	25	23
18	18	17
20	20	21
28	24	25
21	10	23
21	27	27
25	21	24
19	21	20
18	18	27
21	15	21
22	24	24
24	22	21
15	14	15
28	28	25
26	18	25
23	26	22
26	17	24
20	19	21
22	22	22
20	18	23
23	24	22
22	15	20
24	18	23
23	26	25
22	11	23
26	26	22
23	21	25
27	23	26
23	23	22
21	15	24
26	22	24
23	26	25
21	16	20
27	20	26
19	18	21
23	22	26
25	16	21
23	19	22
22	20	16
22	19	26
25	23	28
25	24	18
28	25	25
28	21	23
20	21	21
25	23	20
19	27	25
25	23	22
22	18	21
18	16	16
20	16	18




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 0 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=176072&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=176072&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=176072&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 time0 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net



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')