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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, 30 Nov 2016 21:20:11 +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/2016/Nov/30/t1480537252uwcc2g1l2bqgh44.htm/, Retrieved Sat, 18 May 2024 23:21:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=297488, Retrieved Sat, 18 May 2024 23:21:37 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact49
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] [Qq plot] [2016-11-30 20:20:11] [f0fcaf0884a2ab8e55345d70fdb8db2d] [Current]
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Dataseries X:
2888.9
2916.2
2939.5
2968.3
2986.7
3008.4
3035.3
3059
3078.4
3096.8
3125.2
3157.6
3186
3215.2
3257.8
3296
3330.6
3366.2
3402.9
3426.1
3461.3
3488
3509.5
3536
3561
3593.2
3620.4
3630.4
3643.1
3672.5
3692.2
3719.4
3744.1
3768.3
3803.5
3838.9
3860.4
3879.8
3905.5
3932.4
3959.7
3980.7
4012.8
4037.7
4065
4086.4
4106.9
4137.5
4166.3
4177.8
4176.4
4189.8
4218
4235.9
4237.9
4264.6
4295.5
4327.8
4340.1
4340.2
4375.3
4405.2
4433.3
4472
4507.4
4525.5
4562.5
4581.6
4591
4614
4643.3
4674.6
4687.4
4703.2
4728.3
4757.1
4765.2
4785.4
4810.1
4830.2
4843.3
4861.1
4875.6
4897.3
4901.5
4900.4
4914.6
4930.2
4917
4936.1
4942.3
4951.1
4975.6
4973.5
4963.4
4974.8
5001.8
5013.4
5007.9
4985.6
4967.1
4988.9
4999.8
4988.3
4975.5
4981.1
4993.4
4992.9
4994.1
5014.4
5028.6
5025.4
5021.7
5026.9
5026.6




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=297488&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=297488&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=297488&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
mean4227.8417391304363.5423492319054
standard deviation681.41578113482544.9312260344041

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 4227.84173913043 & 63.5423492319054 \tabularnewline
standard deviation & 681.415781134825 & 44.9312260344041 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=297488&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]4227.84173913043[/C][C]63.5423492319054[/C][/ROW]
[ROW][C]standard deviation[/C][C]681.415781134825[/C][C]44.9312260344041[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=297488&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=297488&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
mean4227.8417391304363.5423492319054
standard deviation681.41578113482544.9312260344041



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')