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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 computationFri, 07 Oct 2016 14:05:28 +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/2016/Oct/07/t1475842185uldtigm9ff8dutq.htm/, Retrieved Sun, 05 May 2024 23:46:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=296593, Retrieved Sun, 05 May 2024 23:46:31 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact115
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] [3.3.7.21.2 Kolom ...] [2016-10-07 12:05:28] [86c9a777e8dbb7ef3face68c75fc8376] [Current]
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Dataseries X:
-0.6469743537
0.09485047921
-1.518040426
-0.905984566
0.009199511133
0.167456977
-0.09025160405
0.5772186476
-0.559087047
-0.2556105576
1.278294177
-0.3323132719
0.4396190158
-1.049806751
-1.612960687
2.324874079
-1.301477848
-0.4305032655
-0.3010425348
-1.298417968
-0.5583932949
1.344007922
-0.5694807274
1.151893503
-0.5254599863
-0.8086130816
0.06353364996
1.160982486
2.657451193
1.34599268
-0.7211370029
-0.8032013496
-0.2004161904
-0.5784944392
1.31201442
0.4836270241
-0.02417507542
0.3954238657
-0.2693946272
-0.3024776894
0.2651077119
0.5154361624
0.6337046378
-0.4163812658
-0.08930972168
0.1276684164
-2.726952151
-0.5046855839
-1.097691244
-1.573194133
0.09612871307
1.855331085
0.9802057194
-0.8719097158
-0.7888354582
0.5386484994
0.06103339917
-0.9388080689
-0.7260629418
-0.822685846
0.08563205256
1.685956612
-1.203491474
-0.6128721473
-1.711316453
0.5300278621
1.877812151
-0.08379895612
-0.1097608908
-1.451656086
0.3561181945
0.7153917322
1.209123052
0.4045098004
-1.616625252
-1.0693862
0.198211182
0.6740444577
1.421423416
-0.1829782738
-0.5984163085
-1.030497192
-0.3399097364
0.5750699492
0.3335539653
-0.01252743344
0.8571516677
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1.27957152
-1.522553199
-1.399825004
1.703888724
-0.4809993995
-0.8674294582
0.9902345562
1.632854909
0.9697731921
-0.5977367894
0.7475022968
-0.324902918
0.2549177519
0.2267152732
0.7387137971
1.564088846
0.1909621619
-0.3067390961
0.9265088912
-1.645663723
0.6982121744
0.6146243729
1.740647616
0.7105625806
1.132904828
-0.9709573063
2.871101073
-0.8812322455
0.04123668433
1.622262293
1.483017076
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0.3352670335
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-1.109303571
1.310746789
1.430632039
-0.920844102
-1.433480031
0.7192761572
0.3134531805
-1.007106591
1.64655544
0.2302550199
0.1550377374
1.626094171
-1.297153221
-0.6374412712
0.486529959
1.449668944
-1.119057486
-0.8260702559
-0.5365791446
1.045722285
-0.3929513565
2.136099549
0.03363881635
-0.3063881621
-1.282942429
0.931785884




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=296593&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=296593&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296593&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
mean0.05065021985848670.0838394824544687
standard deviation1.026819761562360.0592834665747254

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 0.0506502198584867 & 0.0838394824544687 \tabularnewline
standard deviation & 1.02681976156236 & 0.0592834665747254 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296593&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]0.0506502198584867[/C][C]0.0838394824544687[/C][/ROW]
[ROW][C]standard deviation[/C][C]1.02681976156236[/C][C]0.0592834665747254[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296593&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296593&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
mean0.05065021985848670.0838394824544687
standard deviation1.026819761562360.0592834665747254



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')