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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, 01 Feb 2018 09:40:32 +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/2018/Feb/01/t1517474448dal2w9d3t4aad6c.htm/, Retrieved Mon, 29 Apr 2024 05:47:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=313728, Retrieved Mon, 29 Apr 2024 05:47:46 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact62
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] [] [2018-02-01 08:40:32] [32118082f2c8d57cb544554523dbaf9e] [Current]
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Dataseries X:
1.43654201751303
-2.10834848785855
1.40062961321576
3.40062961321576
-1.54550178033834
-0.144260892155814
-0.126304690007183
0.364717208918502
-2.56345798248697
0.891651512141449
-1.61732658893287
-0.581414184635604
1.90960771429008
-1.56345798248697
-0.599370386784235
-0.108348487858551
1.34676100676987
1.94552011858734
2.4185858153644
-0.0903922857099194
0.382673411067133
1.4185858153644
0.400629613215765
0.891651512141449
1.85573910784419
0.382673411067133
-0.617326588932867
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0.400629613215765
0.400629613215765
-1.09039228570992
2.3647172089185
0.891651512141449
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0.891651512141449
1.90960771429008
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-2.10834848785855
0.400629613215765
-1.14426089215581
0.382673411067133
0.382673411067133
2.4185858153644
-2.56345798248697
1.92756391643871
1.90960771429008
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1.92756391643871
-0.0724360835612879
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1.94552011858734
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0.90960771429008
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0.891651512141449
-3.07243608356129
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0.891651512141449
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2.38267341106713
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0.945520118587343
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-3.6352827910815
1.34676100676987
1.34676100676987
1.38267341106713
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1.40062961321576
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2.3647172089185
0.400629613215765
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0.855739107844186
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0.891651512141449
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1.40062961321576
2.87369530999282
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0.400629613215765
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1.92756391643871
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0.382673411067133
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1.85573910784419
1.3647172089185
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3.43654201751303
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2.43654201751303
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1.89165151214145
0.927563916438712
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0.400629613215765
0.382673411067133
-0.581414184635604
-1.10834848785855
1.34676100676987
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-2.05447988141266
-1.09039228570992
3.89165151214145
1.85573910784419
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1.92756391643871
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-0.108348487858551
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1.89165151214145
0.382673411067133
0.382673411067133




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time5 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 time5 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=313728&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]5 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=313728&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=313728&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 time5 seconds
R ServerBig Analytics Cloud Computing Center







ParameterEstimated ValueStandard Deviation
mean-2.62342098018074e-160.131245832435112
standard deviation1.755949562816030.0928048181173412

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & -2.62342098018074e-16 & 0.131245832435112 \tabularnewline
standard deviation & 1.75594956281603 & 0.0928048181173412 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=313728&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]-2.62342098018074e-16[/C][C]0.131245832435112[/C][/ROW]
[ROW][C]standard deviation[/C][C]1.75594956281603[/C][C]0.0928048181173412[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=313728&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=313728&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-2.62342098018074e-160.131245832435112
standard deviation1.755949562816030.0928048181173412



Parameters (Session):
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')