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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 computationTue, 13 Oct 2015 10:31:52 +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/2015/Oct/13/t1444728718psa1s9g9mwl5wba.htm/, Retrieved Tue, 14 May 2024 16:06:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=282331, Retrieved Tue, 14 May 2024 16:06:20 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact108
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] [] [2015-10-13 09:31:52] [209097c909dba198a6919e2c6e4a1abb] [Current]
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Dataseries X:
0.2924129047
0.1196033372
0.09147006695
0.1326587624
0.9821090554
0.9363205369
0.5544075074
0.689170557
0.1039194062
0.04904024622
0.5053084351
0.3527047047
0.4940015119
0.9516438164
0.1644558218
0.1374639926
0.7436335659
0.3405742061
0.9482779335
0.5357103157
0.4845840448
0.03790117683
0.4988587803
0.122470413
0.03776300001
0.1526677087
0.8267300454
0.1485229834
0.9251543617
0.9805177479
0.06694381484
0.6216669205
0.7450295466
0.1416050837
0.3484270542
0.376270928
0.9104423618
0.4567835285
0.2766169454
0.6311042984
0.7510051234
0.0620783759
0.5293777617
0.5354490425
0.4779460254
0.2614391319
0.06619878235
0.2034930927
0.5124477392
0.6177733605
0.4506735812
0.7370049466
0.6772673525
0.7822619217
0.7862604886
0.7362894437
0.7516374192
0.5619553684
0.7653243977
0.7994248344
0.8894483643
0.7256517501
0.3314596551
0.5097810852
0.4007120889
0.0480553532
0.4550944596
0.4118194318
0.3963069299
0.09221708579
0.5223762553
0.4751732435
0.7960036115
0.2302557242
0.8373384994
0.5470099858
0.1997728052
0.4023607898
0.7373486477
0.2926746291
0.1223736204
0.1140763318
0.8218374548
0.1246141098
0.09122352657
0.1718661915
0.7943093883
0.6195832835
0.1075495033
0.6569604114
0.4176344916
0.9241318255
0.9708203382
0.6374829012
0.08262130068
0.6483726234
0.9664603619
0.1188604579
0.4898710459
0.7480313706
0.4168441673
0.7325128343
0.9449132957
0.8947773091
0.5955728846
0.6628242809
0.7666225712
0.8348353076
0.5050314848
0.3123961355
0.3089164189
0.2358791924
0.01722738717
0.205580827
0.09573461747
0.5222062948
0.8779103622
0.6302970465
0.5692997081
0.1981932819
0.07397364925
0.5181261684
0.9516587052
0.160033128
0.0641363102
0.06268994231
0.7195061436
0.4957535937
0.3729068875
0.5763094512
0.1922882926
0.2735166373
0.04782825345
0.08494523575
0.7335886469
0.8181992586
0.4800037036
0.1614188028
0.06579468734
0.9762556032
0.08790445093
0.4969152721
0.1980459051
0.8688602609
0.3644580505
0.710767287
0.4674630057
0.6333327945
0.7874184489
0.8985203014




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=282331&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=282331&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282331&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







ParameterEstimated ValueStandard Deviation
mean0.4771999389107330.0238248739367457
standard deviation0.2917939216558040.0168467299215875

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 0.477199938910733 & 0.0238248739367457 \tabularnewline
standard deviation & 0.291793921655804 & 0.0168467299215875 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=282331&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]0.477199938910733[/C][C]0.0238248739367457[/C][/ROW]
[ROW][C]standard deviation[/C][C]0.291793921655804[/C][C]0.0168467299215875[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=282331&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282331&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
mean0.4771999389107330.0238248739367457
standard deviation0.2917939216558040.0168467299215875



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')
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')