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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_fitdistrnorm.wasp
Title produced by softwareML Fitting and QQ Plot- Normal Distribution
Date of computationSat, 07 Nov 2015 10:32:41 +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/2015/Nov/07/t14468923882utvtnq54dj8plp.htm/, Retrieved Tue, 14 May 2024 08:02:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=283208, Retrieved Tue, 14 May 2024 08:02:14 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact138
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [ML Fitting and QQ Plot- Normal Distribution] [Task 12 - Chapter 4] [2015-11-07 10:32:41] [39661ea0cc1af7d66f31b3ef3719ea7a] [Current]
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Dataseries X:
0.4058598135
0.8371510566
0.9251230839
0.8915757991
0.7601466402
0.5844034369
0.1132513535
0.01764676601
0.1356188052
0.7443570916
0.6386321996
0.7840727017
0.521831095
0.7279281201
0.9760734568
0.6170176863
0.7704992685
0.5276072993
0.1818889123
0.04678813383
0.3750104888
0.07216586081
0.2925495338
0.6191793821
0.3632150845
0.5696426324
0.5866157551
0.5451033028
0.8034995437
0.338612255
0.2099511847
0.5884972495
0.4241407787
0.6277348384
0.6642174012
0.6925142184
0.8459415927
0.9235866771
0.6586501724
0.8439943779
0.9281474922
0.2467724055
0.8251166721
0.6762176019
0.7276445674
0.9363182126
0.7964542838
0.3099375952
0.5714389114
0.4223464667
0.1480903576
0.9326968439
0.7424169295
0.4870315489
0.7029433601
0.6164232925
0.2783872314
0.5138368124
0.6996052763
0.8733078606
0.3844035623
0.225032975
0.3238051655
0.4499634771
0.9583690491
0.4074976975
0.103154103
0.8598651636
0.7299217541
0.1267962954
0.6651713059
0.1540716048
0.5126013488
0.9295439214
0.3585914218
0.4302276939
0.06929715633
0.5340487618
0.2379532243
0.5798485802
0.09097737261
0.5092366726
0.911469531
0.7738847948
0.7886996411
0.4418569798
0.7521781712
0.1865687012
0.5989026584
0.09196949587
0.9723745038
0.4575421724
0.5019793109
0.0367128932
0.06132498453
0.3922655327
0.4541308731
0.3023542198
0.08626206007
0.4007077717
0.4325024381
0.4846197275
0.356660231
0.174317918
0.5935997834
0.8573069313
0.9517935008
0.1012777748
0.04498733357
0.9691779073
0.6115739788
0.9200358599
0.7302672904
0.2291338655
0.490671691
0.1111225285
0.9273403228
0.9796709624
0.2759158122
0.5272464947
0.8599471841
0.5586173581
0.1669769276
0.7616724459
0.9224917415
0.8491515276
0.2203307458
0.7548800259
0.01814523019
0.8181018024
0.5565029596
0.1395039564
0.5102317556
0.542527211
0.9305952614
0.8235556159
0.2868950512
0.2245795346
0.1660928332
0.3119255041
0.4390464084
0.6946466015
0.9519530065
0.2661674017
0.05159405683
0.9027768575
0.5029749496
0.8025633714
0.6079534929
0.8983851744




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'George Udny Yule' @ yule.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 & 4 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=283208&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=283208&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=283208&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 time4 seconds
R Server'George Udny Yule' @ yule.wessa.net







ParameterEstimated ValueStandard Deviation
mean0.5323266647956670.0230966707212347
standard deviation0.2828752901205250.0163318124898179

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 0.532326664795667 & 0.0230966707212347 \tabularnewline
standard deviation & 0.282875290120525 & 0.0163318124898179 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=283208&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]0.532326664795667[/C][C]0.0230966707212347[/C][/ROW]
[ROW][C]standard deviation[/C][C]0.282875290120525[/C][C]0.0163318124898179[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=283208&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=283208&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
mean0.5323266647956670.0230966707212347
standard deviation0.2828752901205250.0163318124898179



Parameters (Session):
Parameters (R input):
par1 = 8 ; par2 = 0 ;
R code (references can be found in the software module):
library(MASS)
library(car)
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$estimate[2])^2),min(x),max(x),add=T)
dev.off()
bitmap(file='test3.png')
qqPlot(x,dist='norm',main='QQ plot (Normal) with confidence intervals')
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Parameter',1,TRUE)
a<-table.element(a,'Estimated Value',1,TRUE)
a<-table.element(a,'Standard Deviation',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,r$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')