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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 computationWed, 04 Nov 2015 12:37:31 +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/04/t1446640785pi4n3xjnwmgtdz6.htm/, Retrieved Tue, 14 May 2024 23:41:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=283143, Retrieved Tue, 14 May 2024 23:41:50 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact158
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] [3.1. task 3] [2015-11-04 12:37:31] [7b81fac622814275349f5d25cf6bd6bd] [Current]
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Dataseries X:
-0.5887739973
-0.1388334259
-0.3317862227
0.1715829625
-0.2721114708
-0.0471965377
0.4158706013
0.696303247
0.5162038247
0.10122761
0.9773072225
1.095651467
0.4868233446
0.5782972654
-0.1315122524
-0.1661624254
0.7541452363
-0.4250936913
-1.015962589
0.5639438217
1.188486973
0.7680012528
1.004103064
-1.00037121
-0.6223665179
-0.003027265139
0.4105882688
-1.103793226
-0.8022402646
0.04942211232
0.112763966
-0.8588983641
0.9937288287
0.5563029822
-2.317746406
-0.04632414907
0.3687646122
0.9964378787
0.1973933527
-0.8055650594
1.583499757
1.810410014
-0.3030319789
0.7836063465
-0.4356016061
-0.3761705335
-0.7566793331
1.22909336
-0.4784458775
-0.420024782
0.5948386116
-0.7361953085
1.175862779
0.7818115776
-1.512186729
0.5923581303
0.5955703824
-0.156620335
-0.4723241802
-0.2528401567
0.642195872
-1.449435765
-1.310392537
-0.9461415059
-0.9741708598
0.6312350822
-0.5714752144
-0.2938257289
0.9698034408
1.634763807
0.3984401227
0.9501031094
-0.5152561059
0.9209154541
-0.2188031346
2.377495478
0.2519898799
-2.241885366
1.224579739
0.3290109695
1.116392839
0.5310879217
-0.6101996559
-0.5935530152
0.1884896482
0.05787969261
1.108357432
1.094443065
0.5560497473
1.016244309
0.1482722199
1.491559767
0.6049984981
0.479412267
0.589698726
1.150733141
0.9497151291
0.5612322912
0.8099091243
1.029103443
0.9727050032
1.17068736
1.077654361
0.5472194613
-1.026352037
-0.1242133494
-0.2431011461
0.7576175191
-0.07217886731
-0.123167785
-0.8800683916
-0.3772243596
-1.146103395
1.089060432
0.7698511113
1.402442742
-2.208885685
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1.150342306
0.3858299344
0.6441562435
-1.202670501
0.3202520598
0.08743783224
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0.3687513926
0.4814576906
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1.192657619
-0.2746180224
-0.856417742
0.06526296068
-0.2217918833
-1.210227043
0.6907897696
-0.4499825408
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0.1470728289
0.4253649193
0.2162094979
-0.2532445336
-1.266863092
0.7206666908
-0.2046057712
-1.714197199
2.132013234
-0.7165422646
0.7945774106
0.2216946189




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=283143&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=283143&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=283143&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'Sir Maurice George Kendall' @ kendall.wessa.net







ParameterEstimated ValueStandard Deviation
mean0.1402527584652070.0698781220905546
standard deviation0.8558287165288210.0494112939868127

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 0.140252758465207 & 0.0698781220905546 \tabularnewline
standard deviation & 0.855828716528821 & 0.0494112939868127 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=283143&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]0.140252758465207[/C][C]0.0698781220905546[/C][/ROW]
[ROW][C]standard deviation[/C][C]0.855828716528821[/C][C]0.0494112939868127[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=283143&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=283143&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
mean0.1402527584652070.0698781220905546
standard deviation0.8558287165288210.0494112939868127



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')
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')