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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 computationSat, 21 Nov 2015 11:00:57 +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/21/t1448103808gjw08ykzqy8xwds.htm/, Retrieved Tue, 14 May 2024 16:41:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=283746, Retrieved Tue, 14 May 2024 16:41:45 +0000
QR Codes:

Original text written by user:op het histogram zie je duidelijk dat de kolommen geen normaal verdeling volgen. Ze liggen links ver boven de lijn van de Gausscurve. In het midden liggen ze hier te ver onder en rechts weer te ver boven. Dit is ook af te lezen in de QQ plot waar in het midden de "bolletjes" de zijlijnen van de St.Dev raken. Ook in het begin en het einde zien we bolletjes verder uit elkaar liggen wat mogelijk wijst op outliers.
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact119

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] [3.1 distribution ...] [2015-11-21 11:00:57] [bfb327cc38fccc6d3daed2ac8fd9ce3b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.3161301156
0.6078782729
0.5807415964
0.04478256614
0.6153942423
0.5124572554
0.8763627375
0.5864659851
0.6739818082
0.9965267168
0.8854597702
0.9898681595
0.5224891355
0.5630557686
0.9934985442
0.02713052156
0.1503894108
0.6209043376
0.4596013467
0.1372563126
0.887349773
0.7772728983
0.3388797929
0.6970761439
0.741579788
0.9621838237
0.1117987729
0.8742447849
0.195211008
0.8849938098
0.520571733
0.5622692445
0.9567078596
0.3229375306
0.1125871615
0.8975680948
0.1703098689
0.7417026203
0.9908663936
0.8585621178
0.5825049468
0.7480359165
0.2715526375
0.4467960157
0.1655341164
0.8743808061
0.7484311841
0.9500915928
0.6979273152
0.1955460413
0.2644808975
0.7877320015
0.8020705945
0.2774055992
0.2904570985
0.4376773408
0.9388044983
0.9576299355
0.2105054746
0.9458115564
0.859053675
0.4584484474
0.8148073839
0.5172204111
0.01248780326
0.3314431211
0.4992563193
0.6895008461
0.4132137057
0.7343734927
0.6721657961
0.5881015761
0.4624987616
0.5400329135
0.8680082064
0.7636949113
0.2285254777
0.7771359343
0.06818518653
0.1115798292
0.6831774781
0.9032370246
0.7288291001
0.3731162719
0.3958565913
0.4096805296
0.01563581011
0.7191907829
0.1843312229
0.2585818574
0.745728687
0.9157132962
0.222615975
0.6518399645
0.5365538747
0.5711452035
0.1058826543
0.6321810266
0.6618067788
0.9660586642
0.3724022596
0.01623337691
0.1143898863
0.9647272675
0.9825184772
0.15963378
0.3764017186
0.5087477589
0.2546522596
0.05416476412
0.3961571164
0.1926931785
0.7583377483
0.2569234079
0.272238806
0.4217971817
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0.151521335
0.144580104
0.6516695351
0.05150033355
0.04131574574
0.7925788894
0.2100430916
0.6713720831
0.5746720591
0.4402429663
0.2005517323
0.6688753694
0.002257516827
0.2683665603
0.988539728
0.7607422771
0.7663661005
0.1337379674
0.7689024107
0.370689683
0.9222748573
0.9953787681
0.715957847
0.2216738426
0.8916311661
0.5478138818
0.2153499998
0.8851762463
0.04787165125
0.5613732304
0.6779830424
0.7875209169

Tables (Output of Computation)





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=283746&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=283746&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=283746&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 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
mean0.5325111363093760.0243530985326793
standard deviation0.2972674516545930.0172202411153617

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 0.532511136309376 & 0.0243530985326793 \tabularnewline
standard deviation & 0.297267451654593 & 0.0172202411153617 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=283746&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]0.532511136309376[/C][C]0.0243530985326793[/C][/ROW]
[ROW][C]standard deviation[/C][C]0.297267451654593[/C][C]0.0172202411153617[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=283746&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=283746&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
mean0.5325111363093760.0243530985326793
standard deviation0.2972674516545930.0172202411153617


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):
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')