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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, 17 Nov 2015 15:57:31 +0000
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/Nov/17/t144777586674x7fldfiihskc2.htm/, Retrieved Tue, 14 May 2024 01:37:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=283431, Retrieved Tue, 14 May 2024 01:37:40 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact126
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] [] [2015-11-17 15:57:31] [6e0f9d477fd567d092284819440de98c] [Current]
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Dataseries X:
0.5721817992
0.5418009374
0.9271452892
0.2163029965
0.5242637034
0.7170477795
0.9728862431
0.7414806472
0.2820983287
0.5247354895
0.9058065202
0.08079511903
0.01102899821
0.860216543
0.4186104466
0.3986400355
0.9155799684
0.7803006097
0.8883707341
0.9907606849
0.4761203456
0.4830826593
0.6932703974
0.5316601484
0.2206841224
0.1979268723
0.8145009384
0.9821614101
0.5319464627
0.4856071698
0.2233168337
0.6571259468
0.9893562856
0.4486038176
0.5532462281
0.9533284633
0.7464251563
0.3515562158
0.5574577984
0.2374879286
0.4431722542
0.1518721804
0.8512840608
0.3944548026
0.153725736
0.4404931869
0.4399006997
0.5355545041
0.8690802805
0.2928160762
0.5311623858
0.3670872478
0.01501095473
0.5297709314
0.1335945841
0.7189840183
0.5051432459
0.8890551773
0.9395418672
0.7336187795
0.8291793852
0.6065239565
0.9934722636
0.2147770444
0.6762809274
0.907736832
0.6454380356
0.6367806195
0.593607517
0.9096605722
0.2896925671
0.3137685477
0.1800120594
0.4325283823
0.3884635476
0.2291344626
0.3148919459
0.2218551729
0.2808824745
0.02512002275
0.9221966669
0.08060929062
0.2770702714
0.652564698
0.7695916134
0.4115402997
0.5373793011
0.1808117539
0.8027781342
0.6696632562
0.2367915386
0.267770545
0.5149699139
0.2248989291
0.5144729739
0.7901349601
0.8515254424
0.134870558
0.7084843408
0.1337582519
0.149736941
0.3278566028
0.3756480735
0.6441839881
0.6137753789
0.6959000594
0.5965714856
0.7373333132
0.8247917373
0.5980736491
0.06582616285
0.1703485097
0.786174663
0.2739015732
0.4672837705
0.9725926318
0.003964264433
0.666937335
0.6346078818
0.5368056626
0.1024221784
0.1584979037
0.9969022504
0.3704166837
0.4747578687
0.7115540951
0.8095151636
0.007012359638
0.4690111801
0.9247771447
0.6700002997
0.5779617623
0.6090912441
0.4967416614
0.8192334561
0.5441973325
0.3509714157
0.6002847589
0.7276859174
0.08815213569
0.8740407266
0.6670213594
0.4668538269
0.6658533741
0.4076113692
0.08201588328
0.3658438563
0.2191722086
0.5925825029
0.2886101406




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time7 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 7 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=283431&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]7 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=283431&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=283431&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 time7 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







ParameterEstimated ValueStandard Deviation
mean0.5199535724408730.0220894651860598
standard deviation0.2705395919840980.015619610625847

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 0.519953572440873 & 0.0220894651860598 \tabularnewline
standard deviation & 0.270539591984098 & 0.015619610625847 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=283431&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]0.519953572440873[/C][C]0.0220894651860598[/C][/ROW]
[ROW][C]standard deviation[/C][C]0.270539591984098[/C][C]0.015619610625847[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=283431&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=283431&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
mean0.5199535724408730.0220894651860598
standard deviation0.2705395919840980.015619610625847



Parameters (Session):
par1 = 100 ; par2 = 5 ; par3 = 1,7 ; par4 = 2 ; par5 = N ; par6 = 5 ;
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')
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')