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Author's title

Author*Unverified author*
R Software Modulerwasp_fitdistrnorm.wasp
Title produced by softwareMaximum-likelihood Fitting - Normal Distribution
Date of computationTue, 06 Apr 2010 09:52:08 +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/Apr/06/t127054765376bgya4xvnekv2x.htm/, Retrieved Thu, 25 Apr 2024 11:30:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74602, Retrieved Thu, 25 Apr 2024 11:30:46 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsB28A, normaal verdeling, steven coomans, thesis
Estimated Impact227
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Maximum-likelihood Fitting - Normal Distribution] [B28A, normaal ver...] [2010-04-06 09:52:08] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
288,125
331,5
493,025
378,75
458,625
431,25
399
473,5
442
177,425
346
450,25
509,625
509,625
301,375
374
374
311,875
300,375
352,75
454,25
208,7
470,85
490,125
551,125
522,8
577,875
384,25
384,25
552
661,5
457,1
647,5
174
781
277,1
653
435,75
613,775
509,75
509,75
314,5
486
212
503,825
435
563
457,05
451,25
500,75
437,75
470,5
0
313,25
314
454
570,5
485
243
310
421,752
494,5
253,5
417,5
182,826
339,25
199
412,25
438,25
356
266,25
235,25
323,775
305,25
383,527
515,25
496,15
115,25
170,5
154,25
170
534,05
193,75
564,5
213,63
308,25
437,05
410,275
149,75
154,75
240,1
127,525
222,25
85,525
427,75
63,5
118,3
99,5
182,25
401
119,5
450,25
147,5
237
80,025
10,5
176,75
234
282,5
320
167,5
163,25
238,15
325,125
126,3
154,875
327,25
336,25
188
277,25




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74602&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74602&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74602&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'RServer@AstonUniversity' @ vre.aston.ac.uk







ParameterEstimated ValueStandard Deviation
mean345.72383333333314.23752494479
standard deviation155.9642715060810.0674504357737

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 345.723833333333 & 14.23752494479 \tabularnewline
standard deviation & 155.96427150608 & 10.0674504357737 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74602&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]345.723833333333[/C][C]14.23752494479[/C][/ROW]
[ROW][C]standard deviation[/C][C]155.96427150608[/C][C]10.0674504357737[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74602&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74602&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
mean345.72383333333314.23752494479
standard deviation155.9642715060810.0674504357737



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')