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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 computationThu, 04 Oct 2018 13:06:24 +0200
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2018/Oct/04/t1538651204gc2mbcwd5dtl6f2.htm/, Retrieved Fri, 03 May 2024 15:23:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=315556, Retrieved Fri, 03 May 2024 15:23:38 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact95
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] [] [2018-10-04 11:06:24] [679f1112dc3b31869254dd82340bfb0d] [Current]
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Dataseries X:
1.387349497
-0.7014523818
-0.7989135642
-0.9624411739
-1.699873857
2.879561752
0.02589333558
0.6019187574
-1.13053661
-0.2681588565
-0.3354257686
-0.4999781263
-1.20983967
-0.3446480965
-1.164467106
1.093845484
-2.818668577
-0.7451005762
-1.050627925
-0.7619885569
0.7745170479
0.5930823026
-2.148309012
-0.2625726808
-0.288831435
-0.04737861336
0.1752584301
1.914303333
-0.05049105512
-0.2919360085
-0.6984397127
-0.7154563262
1.280768039
-0.6931369691
-0.06827704386
-0.6564865222
-0.0452071716
-0.6401689294
1.266810458
-0.5388200649
0.9150329637
-0.1590306786
0.7974979473
1.886629462
-0.3570990786
1.39667187
-0.2968807
0.8619586208
-1.388492415
1.764304891
-0.139910289
-1.15445857
0.3487722074
2.300160359
-1.540295929
-0.1553295873
1.109908196
-0.3832143757
-0.7646906794
0.8575735608
0.1592831794
0.3296871255
0.2988526193
0.4248056377
-0.3383454055
-1.086590272
-0.4131958124
0.2900152116
-0.8172202489
-0.3330091544
-0.08454513868
0.1700855553
-0.2005986257
-0.2112108162
-0.3544106043
-0.3653478764
-0.1813919639
0.5606894245
-0.04346620747
0.09499345094
0.1065692204
-0.3583192106
1.729578722
0.9022980005
0.02664584145
-1.529188607
0.0407768599
0.5553058342
0.9868757981
-1.220482585
1.263116103
-0.9826748083
-0.403166136
-0.7866730107
-0.2219327864
1.14262392
-0.5661325366
1.062939464
1.296506749
0.2121964497
-1.581293233
-1.895320535
-1.210985116
0.5789048989
-1.199549712
-1.449674096
-0.9744517202
1.421995971
0.7509248539
-1.893683667
-0.2755119197
-1.389007352
-0.4315786784
-0.8576743153
1.311062465
-1.321039399
-1.509195214
1.969220715
-1.714855472
0.9051497877
-1.882000203
1.226388797
0.1984256295
0.5070111595
0.4438511511
0.3784423664
0.2409626343
-2.058411713
0.4973585693
1.321297663
-0.562899099
-2.683716234
-0.406712293
-0.9023707791
0.4507724724
-1.090998996
1.192155055
0.7216984309
0.0001686464565
-2.202339197
0.3695885442
2.113558249
0.8817876717
0.5990928802
1.895062789
-1.857367946
0.603858031
-0.6826974852
2.920009433
-0.2193326272




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time4 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=315556&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]4 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=315556&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=315556&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 Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R ServerBig Analytics Cloud Computing Center







ParameterEstimated ValueStandard Deviation
mean-0.07562127304175670.0887051406990864
standard deviation1.086411661372750.0627240065144308

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & -0.0756212730417567 & 0.0887051406990864 \tabularnewline
standard deviation & 1.08641166137275 & 0.0627240065144308 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=315556&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]-0.0756212730417567[/C][C]0.0887051406990864[/C][/ROW]
[ROW][C]standard deviation[/C][C]1.08641166137275[/C][C]0.0627240065144308[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=315556&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=315556&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
mean-0.07562127304175670.0887051406990864
standard deviation1.086411661372750.0627240065144308



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)
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')
print(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')