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Description of Statistical Computation

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, 09 Oct 2018 14:09:47 +0200
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2018/Oct/09/t1539087049zhtx85xtbhrug6c.htm/, Retrieved Tue, 07 May 2024 13:29:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=315573, Retrieved Tue, 07 May 2024 13:29:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact130

Tree of Dependent Computations

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] [H3 Task 3] [2018-10-09 12:09:47] [9e2b27cf675a1d7b8e7da04c0e26bb6a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-0.862918028
-0.5357396682
0.7025423657
0.7967613424
0.4005979966
-0.1297588914
-0.6693075465
0.8773356872
1.268363075
-1.118383686
-0.747627293
0.1765713862
0.1569479667
0.8875086715
-0.48524868
-0.4179981081
1.85620947
-0.345491976
-0.1691755425
-0.7492213275
0.3760925247
-1.502308018
0.1996550111
0.8041291287
-1.159693123
0.9985211341
0.5734874439
-1.931310049
0.4268787105
0.2696100203
-0.4282637037
0.3647147286
0.355577453
-0.2336277557
-0.7581485635
1.341157069
-2.077782297
-1.354459039
-0.1329436843
0.3576288507
0.579835713
0.6705647622
-0.1790370314
-0.5867672006
0.06674139608
-1.336122202
-0.5309392059
-0.3777290965
-0.41855507
0.506045426
-0.8829187695
-0.763172828
2.004458558
0.6817848726
1.006236599
-0.7837742269
1.166973303
0.3728605134
-0.6446654698
1.343363823
-1.833589113
1.097854418
-0.5502326996
-0.1120801276
0.7288501977
-1.101188053
-0.2226237522
-1.183563706
0.6183294507
0.07476223971
0.2111904273
0.5492776818
0.09302249218
0.4621136667
1.23904146
-1.735536126
-0.5917089436
1.261924335
1.240052596
1.748377769
0.366610877
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1.968827635
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2.324176154
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2.192768935
0.1418911216
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1.387297058
-1.648572702
1.092738215
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0.1970289883
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2.678516502
3.082662706
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0.2262880424
0.9313170451
-0.2560395684
0.2798356406
-0.3695801694
-2.406690353
-0.843601073
0.3571899308
0.556422793

Tables (Output of Computation)





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=315573&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=315573&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=315573&T=0

As an alternative you can also use a QR Code:  
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
mean0.01225656880380670.0838933808429879
standard deviation1.027479879311510.0593215784907423

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 0.0122565688038067 & 0.0838933808429879 \tabularnewline
standard deviation & 1.02747987931151 & 0.0593215784907423 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=315573&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]0.0122565688038067[/C][C]0.0838933808429879[/C][/ROW]
[ROW][C]standard deviation[/C][C]1.02747987931151[/C][C]0.0593215784907423[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=315573&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=315573&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

ParameterEstimated ValueStandard Deviation
mean0.01225656880380670.0838933808429879
standard deviation1.027479879311510.0593215784907423


Figures (Output of Computation)

Input Parameters & R Code

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')
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')