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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_edauni.wasp

Title produced by software

Univariate Explorative Data Analysis

Date of computation

Mon, 27 Oct 2008 12:19:59 -0600

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/27/t12251316437wze4s6nhssftk8.htm/, Retrieved Sun, 19 May 2024 12:59:03 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19370, Retrieved Sun, 19 May 2024 12:59:03 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

131

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

F       [Univariate Explorative Data Analysis] [Q7] [2008-10-27 18:19:59] [46b5932fe641d17912b9bed340844588] [Current]
-   PD    [Univariate Explorative Data Analysis] [q7] [2008-10-31 14:11:15] [e43247bc0ab243a5af99ac7f55ba0b41] 
- RMPD    [Central Tendency] [q7 central tendancy] [2008-10-31 14:15:16] [e43247bc0ab243a5af99ac7f55ba0b41] 
- R  D    [Univariate Explorative Data Analysis] [q7] [2008-10-31 14:19:09] [e43247bc0ab243a5af99ac7f55ba0b41] 

Feedback Forum

2008-11-03 10:05:39 [Lindsay Heyndrickx] [reply] 
hier is geen uitleg gegeven over de 4 assumpties. Er is enkel een blog getrokken met de eigen tijdreeks. Er staat niet bij welke tijdreeks het is.  
 
Bij assumptie 1:  als je kijkt of er correlatie is : 
http://www.freestatistics.org/blog/date/2008/Oct/31/t1225462324eyygu70j63yt8od.htm  
 
Als we hier het aantal lags veranderen naar 36 zien we dat hier duidelijk autocorrelatie is en dat deze zelfs seizoengebonden is. 
 
Assumptie 2: 
Gelijke spreiding: kijken naar het histogram en het density plot. Als we naar deze twee grafieken kijken merken we een duidelijke gelijke spreiding. 
 
Assumptie 3: kijken naar de run sequence plot om te kijken of het niveau constant blijft.  Je moet hier ook de central tendancy toepassen om te kijken of het gemiddelde constant blijft.  
 
 http://www.freestatistics.org/blog/date/2008/Oct/31/t1225462568y2oui1vose6j0f8.htm  
 
Assumptie 4: je moet hier naar de run sequence plot kijken of er een vaste spreiding is . In het begin van de grafiek is de spreiding niet gelijk maar tegen het einde vertoond deze grafiek wel een vaste spreiding. 

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Dataseries X:

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Histogram

Boxplots

0,472244033
0,471573636
0,473717889
0,475548837
0,476712299
0,47679046
0,476202127
0,474868726
0,469610593
0,467149091
0,467204136
0,467835322
0,462998345
0,465672109
0,466727908
0,469020842
0,470160966
0,470608869
0,471383703
0,470767778
0,465694131
0,462772359
0,463020207
0,465273975
0,470802151
0,472749595
0,473348841
0,472170918
0,475209805
0,477468916
0,479299205
0,478987386
0,473540079
0,467749251
0,464560273
0,471515496
0,473951925
0,476941786
0,477074114
0,479924221
0,481322902
0,47999052
0,481733879
0,481484743
0,472007091
0,465563002
0,462269147
0,470155467
0,475540251
0,477442208
0,480507838
0,480809484
0,48277744
0,481261495
0,483607109
0,480559574
0,47497592
0,469235151
0,465400401
0,476824759

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'George Udny Yule' @ 72.249.76.132

\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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19370&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19370&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19370&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'George Udny Yule' @ 72.249.76.132

Descriptive Statistics
# observations	60
minimum	0.462269147
Q1	0.468724462
median	0.473049218
mean	0.473038678066667
Q3	0.4771661375
maximum	0.483607109

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 60 \tabularnewline
minimum & 0.462269147 \tabularnewline
Q1 & 0.468724462 \tabularnewline
median & 0.473049218 \tabularnewline
mean & 0.473038678066667 \tabularnewline
Q3 & 0.4771661375 \tabularnewline
maximum & 0.483607109 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19370&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]60[/C][/ROW]
[ROW][C]minimum[/C][C]0.462269147[/C][/ROW]
[ROW][C]Q1[/C][C]0.468724462[/C][/ROW]
[ROW][C]median[/C][C]0.473049218[/C][/ROW]
[ROW][C]mean[/C][C]0.473038678066667[/C][/ROW]
[ROW][C]Q3[/C][C]0.4771661375[/C][/ROW]
[ROW][C]maximum[/C][C]0.483607109[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19370&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19370&T=1

As an alternative you can also use a QR Code:

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

Descriptive Statistics
# observations	60
minimum	0.462269147
Q1	0.468724462
median	0.473049218
mean	0.473038678066667
Q3	0.4771661375
maximum	0.483607109

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Figure 3

PNG link

Postscript link

PDF link

Figure 4

PNG link

Postscript link

PDF link

Figure 5

PNG link

Postscript link

PDF link

Figure 6

PNG link

Postscript link

PDF link

Figure 7

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 0 ; par2 = 0 ;

Parameters (R input):

par1 = 0 ; par2 = 0 ;

R code (references can be found in the software module):

par1 <- as.numeric(par1)
par2 <- as.numeric(par2)
x <- as.ts(x)
library(lattice)
bitmap(file='pic1.png')
plot(x,type='l',main='Run Sequence Plot',xlab='time or index',ylab='value')
grid()
dev.off()
bitmap(file='pic2.png')
hist(x)
grid()
dev.off()
bitmap(file='pic3.png')
if (par1 > 0)
{
densityplot(~x,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
} else {
densityplot(~x,col='black',main='Density Plot')
}
dev.off()
bitmap(file='pic4.png')
qqnorm(x)
qqline(x)
grid()
dev.off()
if (par2 > 0)
{
bitmap(file='lagplot1.png')
dum <- cbind(lag(x,k=1),x)
dum
dum1 <- dum[2:length(x),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main='Lag plot (k=1), lowess, and regression line')
lines(lowess(z))
abline(lm(z))
dev.off()
if (par2 > 1) {
bitmap(file='lagplotpar2.png')
dum <- cbind(lag(x,k=par2),x)
dum
dum1 <- dum[(par2+1):length(x),]
dum1
z <- as.data.frame(dum1)
z
mylagtitle <- 'Lag plot (k='
mylagtitle <- paste(mylagtitle,par2,sep='')
mylagtitle <- paste(mylagtitle,'), and lowess',sep='')
plot(z,main=mylagtitle)
lines(lowess(z))
dev.off()
}
bitmap(file='pic5.png')
acf(x,lag.max=par2,main='Autocorrelation Function')
grid()
dev.off()
}
summary(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Descriptive Statistics',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'# observations',header=TRUE)
a<-table.element(a,length(x))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'minimum',header=TRUE)
a<-table.element(a,min(x))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Q1',header=TRUE)
a<-table.element(a,quantile(x,0.25))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'median',header=TRUE)
a<-table.element(a,median(x))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,mean(x))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Q3',header=TRUE)
a<-table.element(a,quantile(x,0.75))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'maximum',header=TRUE)
a<-table.element(a,max(x))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code