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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, 15 Dec 2015 17:35:11 +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/Dec/15/t1450201152exmqn9n4ib0ulyd.htm/, Retrieved Sat, 18 May 2024 13:56:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=286542, Retrieved Sat, 18 May 2024 13:56:02 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact68
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] [] [2015-12-15 17:35:11] [c7d580dabf700704a3d6c2773d62a8e4] [Current]
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Dataseries X:
-0.02207903491
0.9338453915
0.5822269203
-1.792315997
-1.531110518
-1.677321411
-0.5741242056
0.1326369374
-0.08004965672
0.4137800203
1.153181834
-0.1804353961
0.8731125448
-1.621769498
1.264714563
-0.6388028035
-0.747741897
-0.6495645788
-0.4607824421
0.3329378035
0.7143385027
-0.3495851945
-0.2480070727
-2.367660293
0.2349459015
0.7404683233
1.627659589
-0.9470411817
-1.07174054
-1.083784783
0.02728727764
-0.4074185597
-0.8986333786
-0.2679905406
0.3699052207
0.4958269422
-1.45704054
0.1607298022
1.288386046
0.03112461488
-1.95359413
0.4879447723
-1.480295423
1.002067092
1.167195903
1.940452738
0.02957141541
-1.00686266
0.2147630463
-0.9508032589
0.3714420044
0.3498111895
-0.5213194983
-0.2534449747
1.279900168
0.8930353056
-0.3107674283
0.1980055581
-0.501582881
-1.631920933
-0.2876391824
0.3681663982
1.841485129
-0.3722371911
-0.5210146403
0.3212104397
1.491126347
-0.4499401518
2.14870126
1.255655976
1.527776578
-1.309925792
0.5078497637
-1.726469077
-0.3044560094
0.6663932266
0.6019645493
-0.1160862572
-1.598156917
0.281814923
0.6025930761
0.2408478478
-1.048596654
0.3784507128
-0.09150713479
0.115631928
0.01465313711
2.427202837
1.48120267
-0.3965150768
-1.669521664
-1.148383058
0.4149890108
0.5645861292
0.64335629
-0.9138903854
0.741167274
0.7994899917
-1.125135559
0.3685708164
-0.5332020657
0.9589164824
-0.4704357241
-1.732658313
-0.152241914
1.187915894
0.3352600865
-0.05743321476
-1.103812405
1.504409011
1.117632444
-0.8580781196
-1.877689685
-1.08789792
-0.09075233701
0.9307161346
-2.489369442
0.2477769121
0.292940873
-0.8436297766
0.7305042339
-0.237044189
-0.02042472418
0.6472682363
0.5810851151
1.43994176
0.6201756807
-0.8540143799
0.6706463217
-0.9577667478
1.85243742
-0.02310836812
0.3302763748
0.8993146715
0.581610169
1.448126896
1.761950747
-0.5741790701
0.4957566844
-0.01204437749
1.420977856
-1.624922254
-0.1846135238
0.01549381693
1.632820585
0.8270166856
0.2774647262
-0.454188766
-0.5557075713
0.9104650997




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286542&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=286542&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286542&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net







ParameterEstimated ValueStandard Deviation
mean0.03516536205326670.081180450773167
standard deviation0.9942534074169370.0574032472414871

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 0.0351653620532667 & 0.081180450773167 \tabularnewline
standard deviation & 0.994253407416937 & 0.0574032472414871 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286542&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]0.0351653620532667[/C][C]0.081180450773167[/C][/ROW]
[ROW][C]standard deviation[/C][C]0.994253407416937[/C][C]0.0574032472414871[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=286542&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286542&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
mean0.03516536205326670.081180450773167
standard deviation0.9942534074169370.0574032472414871



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')