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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 computationTue, 15 Dec 2015 19:19:09 +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/15/t1450207282aauuxiqt06m02ev.htm/, Retrieved Sat, 18 May 2024 07:18:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=286570, Retrieved Sat, 18 May 2024 07:18:09 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact72
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] [Ch3-T4] [2015-12-15 19:19:09] [c7d580dabf700704a3d6c2773d62a8e4] [Current]
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Dataseries X:
17.47357846
3.542013848
13.45200403
11.89556299
11.41985103
15.00128883
9.055338248
14.76348586
11.87365322
14.01765637
12.90280327
10.9431099
13.17172565
18.67094045
10.43988365
17.70813805
17.4137022
10.17039352
23.72869184
15.20355188
15.22740011
18.35121494
9.337312074
2.931111075
17.93228299
8.912030102
27.21330355
9.140589175
9.96135795
14.13809973
4.302819704
18.43603086
10.31429397
8.378570775
11.75722522
13.63703804
4.038926622
5.903298759
14.05002097
11.2820582
11.65078121
9.471439077
7.133554507
14.35301165
4.818006327
8.963064427
4.20243988
12.11010618
7.79141844
9.195074744
13.37535113
8.203911552
7.745893777
6.348359282
7.021070272
15.96739028
17.35234548
4.974721387
12.74476002
8.488760868
10.02151607
11.65561387
8.713343989
13.25185334
9.018881964
17.42980237
9.795152179
6.969598908
11.63296777
15.8609547
25.6580769
24.55877929
12.98303899
20.65270673
10.42733654
5.779237223
12.4561971
5.990307681
13.71544172
14.55147355
12.51918699
9.692945328
5.248774318
9.784195946
7.513642961
10.20404882
17.09844376
12.11793898
14.52457788
16.41278008
10.49472512
9.688453155
22.47842563
14.79503052
6.931922254
10.78479701
9.185513443
14.729097
17.29042211
11.68269014
10.6060507
12.11132276
6.776139918
11.47128401
9.849883901
8.417209438
4.749964979
14.34869566
9.725708853
9.154985605
10.69891574
14.16743838
23.87156387
9.403166459
13.13920882
17.31022224
17.01486273
10.06314706
10.01780808
8.575416657
17.4842011
7.531590354
4.232554193
16.51106039
6.163239424
14.24202417
9.458077678
17.75681531
10.99148226
7.021952507
10.54289961
5.108512867
7.176913653
14.25320839
9.323693611
10.72721673
5.002502082
19.40081919
22.05198498
13.01805815
12.08769018
6.90555351
11.37856795
17.26663629
14.0311081
14.67195016
14.06354103
9.154089402
14.58796577
12.58551374




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286570&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=286570&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286570&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 time3 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







ParameterEstimated ValueStandard Deviation
mean11.93672086381330.384573193501586
standard deviation4.710040464157530.271934312987538

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 11.9367208638133 & 0.384573193501586 \tabularnewline
standard deviation & 4.71004046415753 & 0.271934312987538 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286570&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]11.9367208638133[/C][C]0.384573193501586[/C][/ROW]
[ROW][C]standard deviation[/C][C]4.71004046415753[/C][C]0.271934312987538[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=286570&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286570&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
mean11.93672086381330.384573193501586
standard deviation4.710040464157530.271934312987538



Parameters (Session):
par1 = 8 ; par2 = 0 ;
Parameters (R input):
par1 = 8 ; par2 = 0 ;
R code (references can be found in the software module):
par2 <- '0'
par1 <- '8'
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')