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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, 23 Nov 2016 11:04:47 +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/23/t1479895577nl3sa7btqeuumi4.htm/, Retrieved Mon, 06 May 2024 21:05:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=296965, Retrieved Mon, 06 May 2024 21:05:25 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsDML-ND/ MQQ
Estimated Impact96
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] [G1] [2016-11-23 10:04:47] [8b2c6464bd93a4843579a2d15e9e0aeb] [Current]
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Dataseries X:
4181.5
4264
4283
4405
4508.5
4514.5
4602.5
4679
4742
4860.5
5034.5
5216.5
5286
5349.5
5437
5393
5516.5
5583.5
5667
5698.5
5764.5
5873
5782.5
5840
5742.5
5808
5814
5862.5
5782
5895
5932.5
6027.5
5970.5
5942
5913.5
5915.5
5845.5
5869.5
5858.5
5856
5871
5736
5716
5651.5
5640
5685.5
5772.5
5721.5
5595
5641.5
5769.5
5723
5769
5779
5779
5685
5895
5874
5911
5958
6029
5992
5977
5972.5
5953.5
6018
5955.5
5969.5
5987
5990.5
6054
6071.5
6239.5
6223.5
6252
6218.5
6287
6204.5
6567
6350.5
6190
6189.5
6092.5
5918
6118.5
5933
5890.5
6019.5
6156.5
6086.5
6352
6160.5
6153
6124
6305.5
6513
6633
6609.5
6462
6432.5
6275
6284.5
6260
6199
6210.5
6217.5
6309
6251
6114.5
6002
6090.5
6048.5
6027
6057.5
5974
6065




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 time3 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296965&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]3 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=296965&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296965&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 time3 seconds
R ServerBig Analytics Cloud Computing Center







ParameterEstimated ValueStandard Deviation
mean5833.8620689655245.9678035533393
standard deviation495.0883959134332.5041456088173

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 5833.86206896552 & 45.9678035533393 \tabularnewline
standard deviation & 495.08839591343 & 32.5041456088173 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296965&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]5833.86206896552[/C][C]45.9678035533393[/C][/ROW]
[ROW][C]standard deviation[/C][C]495.08839591343[/C][C]32.5041456088173[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296965&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296965&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
mean5833.8620689655245.9678035533393
standard deviation495.0883959134332.5041456088173



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')