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Description of Statistical Computation

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, 06 Oct 2016 11:11:18 +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/06/t14757453389x1qlvrer9kdegd.htm/, Retrieved Sat, 04 May 2024 05:55:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=296562, Retrieved Sat, 04 May 2024 05:55:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact103

Tree of Dependent Computations

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] [Task 3 - H3] [2016-10-06 09:11:18] [67fe698233d7575d27222b521501ef35] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.5901104456
2.495963353
1.216562442
-1.719108755
-1.235399646
0.2941015452
0.7567280239
0.9944271503
1.676418899
0.5892245656
1.750437817
0.0455774311
0.5053333228
-1.116517392
-0.1362761183
1.016644156
0.5460049872
0.9064989866
-1.45689943
-0.7048994689
-0.5741153978
-0.2175154896
1.256897625
-0.4858576556
-1.13001722
0.2442267574
-1.716532082
0.04011501567
1.012515717
0.8939544227
2.046270824
0.5068153246
1.255425331
0.5110764761
-1.004170064
0.3966679308
-0.3262249004
-0.5932037246
1.038566299
0.6687774315
-0.03197956426
-1.174398677
-1.487493921
1.43385487
0.9631543192
-0.6063732128
0.7098639619
-0.3239802175
-0.3452724687
-1.38610456
-0.0534989919
1.021476529
-0.1982554457
1.408431494
2.17825749
-1.44593343
-0.9335663683
-0.292749916
1.164161133
-0.3223052465
0.7008927004
-0.9157786117
1.176510121
1.025631355
-0.2193905158
1.439809949
-0.7421691932
0.4166887472
-1.015142511
-0.269311097
1.024711257
-1.141726833
-1.076033811
0.7462293041
1.018508603
-0.4036884744
1.013466294
-0.06813576164
0.6029325967
0.212053003
0.8951108936
2.259328299
-0.5914966382
0.7657460353
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0.8901748379
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1.206344416
-0.7499750362
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0.8792830787
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0.6694061055
1.353845572
1.306649236
0.7958549914
0.6944035076
0.5479188803
0.03959517756
-0.3742507493
-0.3414328383
-0.01945811508
0.7680679534
0.319627963
-1.473026957
-0.06432859737
-0.4056364579
0.3100354573
-1.5304126
0.2559447285
-0.1200718214
-0.6329334613
-0.5184940569
1.537137806
-0.86096441
0.3162613544
-0.9499318322

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time8 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 time8 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296562&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]8 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=296562&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296562&T=0

As an alternative you can also use a QR Code:  
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 time8 seconds
R ServerBig Analytics Cloud Computing Center






ParameterEstimated ValueStandard Deviation
mean0.0383789672610.0817064910228937
standard deviation1.000696058396920.0577752138692459

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 0.038378967261 & 0.0817064910228937 \tabularnewline
standard deviation & 1.00069605839692 & 0.0577752138692459 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296562&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]0.038378967261[/C][C]0.0817064910228937[/C][/ROW]
[ROW][C]standard deviation[/C][C]1.00069605839692[/C][C]0.0577752138692459[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296562&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296562&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

ParameterEstimated ValueStandard Deviation
mean0.0383789672610.0817064910228937
standard deviation1.000696058396920.0577752138692459


Figures (Output of Computation)

Input Parameters & R Code

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')
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')