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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, 24 Jan 2020 09:09:12 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2020/Jan/24/t1579853416ejnwap73skwnlzb.htm/, Retrieved Thu, 28 Mar 2024 20:21:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=319030, Retrieved Thu, 28 Mar 2024 20:21:21 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact132
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] [Normaal verdeling...] [2020-01-24 08:09:12] [9d8d6fac8ef3a05a79a41723155b7177] [Current]
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Dataseries X:
1.72923686058208
0.122433126801145
0.523768788982079
-0.50175942601324
-1.86386120887019
0.0717422351702872
-0.380578531491989
-0.29851611788274
1.94316215667028
-1.24779901378139
1.35257277275093
2.84406850014719
1.12274878943606
-2.32540657982629
-2.89902363942181
0.246874012745119
-0.731094375584061
1.97769407549524
-0.089308186457892
-1.64931358279907
1.78988776616251
-0.655026882699021
-0.95518008982139
-0.501427837065876
-1.47468882156665
2.4255103110643
-0.388732570521789
-1.41970373897772
-0.435743764210552
0.588337253253952
-1.73087780677345
0.416192838768035
-0.135602934239543
1.5607508968729
-0.619488852927662
0.130061173484127
-0.485714783249833
1.19042117073251
0.504940688912012
-0.266725732456376
1.8987616014054
0.9835731579105
0.221023228988728
-0.176860990484583
-0.162198287814433
0.78911590880292
1.41209201053576
0.518161844628975
2.36462043434148
-1.24446105804486
1.09138861156198
0.422175612267996
-0.997989397904933
0.754650745534752
-1.44375392644115
0.568632265545353
1.35413305240232
-1.34288885715882
-0.0968579661829751
0.242767533935212
0.255744783559028
-0.243232899636027
0.461607264600104
0.0650797112167817
2.25999343044582
1.80462197944889
2.32548979115297
0.682758803307819
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0.97507128242145
-1.17268516900173
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-1.6521456119588
-1.48335049731373
0.925016701443022
-0.226525557050897
0.774905929042345
-0.339789522342372
0.89311055438168
-0.864578780222597
-1.95217915873499
-0.11317194501752
1.02470860347022
-1.25650654087286
-0.602130638597027
-0.83233134657693
-0.446577198612737
-4.01053303468812
0.288513333839785
-1.00798474916531
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1.21578539483534
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3.19984732249364
0.572738529480399
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0.707840316820782
1.36410372036211
0.314718394752158
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1.26992188862053
1.80144339707427
-0.42970220964945
0.529993653035631
1.18764422512472
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1.0140628812162
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1.31411524584048
-0.428705333764204
-0.663582558495647
1.37204511801761
-1.27310996987184
0.810157913937622
1.5741305304336
-1.025150115941
-0.998930862337702
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1.66337771592794
-0.178008462116163
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1.96797905166753
0.634220496887586
1.38764487483822
0.75570654001001
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1.62023993830839
0.423224828517651
-1.7051130142733
0.541981863740972
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0.213567450337977
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0.0777251570183703
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2.1315776363419
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0.496126806273696
-0.37803015357093
0.564631359789787
0.268965939275992
0.752661368724124
-2.30203173253409
2.82635859577673
-0.607627712639158
3.77405193258893
1.08426693162876
-2.2508985634727
0.290663952981133
-1.1346060583543
1.41583984485642
0.590041695581542
1.22056539827692
0.0970995178245223
-0.906020145960084
-0.597681226735446
0.437155726246844
0.742487563055592
1.22917286536281
-0.95259160353182
-0.75528682870179




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=319030&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]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=319030&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319030&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 time1 seconds
R ServerBig Analytics Cloud Computing Center







ParameterEstimated ValueStandard Deviation
mean-1.98930504866808e-160.0965778580461576
standard deviation1.292123677128580.0682908583369098

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & -1.98930504866808e-16 & 0.0965778580461576 \tabularnewline
standard deviation & 1.29212367712858 & 0.0682908583369098 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=319030&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]-1.98930504866808e-16[/C][C]0.0965778580461576[/C][/ROW]
[ROW][C]standard deviation[/C][C]1.29212367712858[/C][C]0.0682908583369098[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=319030&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319030&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-1.98930504866808e-160.0965778580461576
standard deviation1.292123677128580.0682908583369098



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')