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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Module--
Title produced by softwareML Fitting and QQ Plot- Normal Distribution
Date of computationFri, 04 Dec 2015 21:22:48 +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/Dec/04/t1449264209vwgm7risxnm9jsy.htm/, Retrieved Thu, 16 May 2024 15:57:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=285178, Retrieved Thu, 16 May 2024 15:57:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact87

Tree of Dependent Computations

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] [] [2015-09-28 10:11:33] [32b17a345b130fdf5cc88718ed94a974]
- RM      [ML Fitting and QQ Plot- Normal Distribution] [] [2015-12-04 21:22:48] [f0540685e8d53548e4baf07e0669deea] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=285178&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=285178&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285178&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 time4 seconds
R Server'Gertrude Mary Cox' @ cox.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=285178&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=285178&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285178&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
mean0.5323266647956670.0230966707212347
standard deviation0.2828752901205250.0163318124898179


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 8 ; par2 = 0 ;
Parameters (R input):
par1 = 8 ; par2 = 0 ; par3 = ; par4 = ; par5 = ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;
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')