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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 computationThu, 13 Nov 2008 12:18:39 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Nov/13/t1226603958yz82iugpphdxe44.htm/, Retrieved Sun, 19 May 2024 04:36:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=24784, Retrieved Sun, 19 May 2024 04:36:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsNormal distribution
Estimated Impact212

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Maximum-likelihood Fitting - Normal Distribution] [workshop 2 Q5 Nor...] [2008-11-13 10:44:33] [47f64d63202c1921bd27f3073f07a153]
F R  D    [Maximum-likelihood Fitting - Normal Distribution] [Normal distribution] [2008-11-13 19:18:39] [962e6c9020896982bc8283b8971710a9] [Current]
- RMPD      [Notched Boxplots] [notched boxplot] [2008-12-10 18:45:46] [3ffd109c9e040b1ae7e5dbe576d4698c]
-             [Notched Boxplots] [Notched Boxplot] [2008-12-17 09:34:11] [3ffd109c9e040b1ae7e5dbe576d4698c]
-    D          [Notched Boxplots] [notched boxplot] [2008-12-20 11:57:36] [3ffd109c9e040b1ae7e5dbe576d4698c]
-    D            [Notched Boxplots] [notched boxplot] [2008-12-20 11:59:33] [3ffd109c9e040b1ae7e5dbe576d4698c]
-    D              [Notched Boxplots] [notched boxplot] [2008-12-20 12:02:04] [3ffd109c9e040b1ae7e5dbe576d4698c]
-               [Notched Boxplots] [notched boxplots] [2008-12-24 11:50:45] [3f66c6f083b1153972739491b89fa2dd]
- RMPD      [Mean Plot] [mean plot] [2008-12-10 18:47:53] [3ffd109c9e040b1ae7e5dbe576d4698c]
-             [Mean Plot] [mean plot] [2008-12-18 18:13:03] [3ffd109c9e040b1ae7e5dbe576d4698c]
-               [Mean Plot] [Mean plot] [2008-12-24 11:53:26] [3f66c6f083b1153972739491b89fa2dd]
Feedback Forum
2008-11-18 08:57:27 [Evelyn Gabriel] [reply] 
We kunnen inderdaad spreken van een redelijk goede normaalverdeling. De student heeft de figuur goed geïnterpreteerd.
2008-11-20 12:10:42 [Hannes Van Hoof] [reply] 
De juiste grafiek is hier wel gemaakt maar de conclusie klopt hier niet bij denk ik.
Op de grafiek lijken de data mij niet echt normaal verdeeld dus ik denk dat dit geen goede benadering is voor y.
2008-11-20 15:30:28 [Gert-Jan Geudens] [reply] 
De data zijn inderdaad normaal verdeeld. Ik wil nog wel graag opmerken dat je deze bewerking ook op de andere tijdreeksen kan toepassen.
2008-11-20 17:45:12 [Marie-Lien Loos] [reply] 
Dit is inderdaad een redelijk normaal verdeelde grafiek.
2008-11-24 11:29:52 [Anouk Greeve] [reply] 
Hoewel het histogram een beetje neigt naar een rechtsscheve verdeling, is het toch bij benadering een goede normale verdeling.
2008-11-24 18:44:25 [Birgit Van Dyck] [reply] 
De histogram is min of meer normaal verdeeld, en is het dus een goede benadering voor Y.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
274452
267700
257841
255124
247377
247823
276919
294271
281758
270434
258848
256674
258882
255060
247698
244779
240901
239933
270247
283893
282348
273570
254756
254354
255843
254490
251995
246339
244019
245953
279806
283111
281097
275964
270694
271901
274412
272433
268361
268586
264768
269974
304744
309365
308347
298427
289231
291975
294912
293488
290555
284736
281818
287854
316263
325412
326011
328282
317480
317539
313737
312276
309391
302950
300316
304035
333476
337698
335932
323931
313927
314485
313218
309664
302963
298989
298423
301631
329765
335083
327616
309119
295916
291413
291542
284678
276475
272566
264981
263290
296806
303598
286994
276427
266424
267153
268381
262522
255542
253158
243803
250741
280445
285257

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=24784&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=24784&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=24784&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






ParameterEstimated ValueStandard Deviation
mean283736.1923076922516.68000254727
standard deviation25665.20088491451779.56149587775

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 283736.192307692 & 2516.68000254727 \tabularnewline
standard deviation & 25665.2008849145 & 1779.56149587775 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=24784&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]283736.192307692[/C][C]2516.68000254727[/C][/ROW]
[ROW][C]standard deviation[/C][C]25665.2008849145[/C][C]1779.56149587775[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=24784&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=24784&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
mean283736.1923076922516.68000254727
standard deviation25665.20088491451779.56149587775


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')