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Workshop 4: deel 2 bivariate eda

*The author of this computation has been verified*

R Software Module: rwasp_edabi.wasp (opens new window with default values)

Title produced by software: Bivariate Explorative Data Analysis

Date of computation: Wed, 28 Oct 2009 10:09:47 -0600

Cite this page as follows:

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2009/Oct/28/t1256746280qz22zek5atw8k6i.htm/, Retrieved Wed, 28 Oct 2009 17:11:28 +0100

BibTeX entries for LaTeX users:

@Manual{KEY,
    author = {{YOUR NAME}},
    publisher = {Office for Research Development and Education},
    title = {Statistical Computations at FreeStatistics.org, URL http://www.freestatistics.org/blog/date/2009/Oct/28/t1256746280qz22zek5atw8k6i.htm/},
    year = {2009},
}
@Manual{R,
    title = {R: A Language and Environment for Statistical Computing},
    author = {{R Development Core Team}},
    organization = {R Foundation for Statistical Computing},
    address = {Vienna, Austria},
    year = {2009},
    note = {{ISBN} 3-900051-07-0},
    url = {http://www.R-project.org},
}

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords:

WS4D2BDMLDG

Dataseries X:

» Textbox « » Textfile « » CSV «

21.4 26.4 26.4 29.4 34.4 24.4 26.4 25.4 31.4 27.4 27.4 29.4 32.4 26.4 22.4 19.4 21.4 23.4 23.4 25.4 28.4 27.4 21.4 17.4 24.4 26.4 22.4 14.4 18.4 25.4 29.4 26.4 26.4 20.4 26.4 29.4 33.4 32.4 35.4 34.4 36.4 32.4 34.4 31.4 27.4 27.4 30.4 32.4 32.4 27.4 31.4 29.4 27.4 25.4 26.4 23.4 18.4 22.4 17.4 17.4 11.4 9.4 6.4 0 7.8 7.9 12 16.9 12.3

Dataseries Y:

» Textbox « » Textfile « » CSV «

47,55488374 47,67122995 47,67904605 47,62021269 47,48687256 46,96105925 46,7149091 46,72041365 46,78353218 46,29983446 46,5672109 46,67279085 46,90208423 47,0160966 47,06088688 47,13837027 47,07677776 46,5694131 46,27723586 46,30202072 46,52739752 47,08021506 47,27495952 47,33488406 47,21709178 47,52098049 47,7468916 47,9299205 47,8987386 47,35400791 46,77492507 46,45602732 47,15154956 47,39519251 47,69417862 47,70741143 47,99242208 48,13229019 47,99905205 48,17338792 48,14847428 47,2007091 46,55630021 46,2269147 47,01554674 47,55402508 47,7442208 48,05078385 48,08094838 48,27774396 48,12614946 48,36071091 48,05595741 47,49759203 46,92351513 46,54004011 47,68247594 48,42168898 49,06947273 49,55331973 50,03937738 50,3807464 50,91083342 51,06153373 51,07554092 50,72471066 49,90197248 49,59503448 50,52323508

Output produced by software:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'George Udny Yule' @ 72.249.76.132

Model: Y[t] = c + b X[t] + e[t]
c	50.5138928355349
b	-0.111799551534695

Descriptive Statistics about e[t]
# observations	69
minimum	-1.62054746962302
Q1	-0.811388051949536
median	-0.111688052741362
mean	9.15506599676745e-17
Q3	0.818884297258636
maximum	1.70408512032803

Charts produced by software:

http://www.freestatistics.org/blog/date/2009/Oct/28/t1256746280qz22zek5atw8k6i/1j2wq1256746183.png (open in new window)

http://www.freestatistics.org/blog/date/2009/Oct/28/t1256746280qz22zek5atw8k6i/1j2wq1256746183.ps (open in new window)

http://www.freestatistics.org/blog/date/2009/Oct/28/t1256746280qz22zek5atw8k6i/2kk0b1256746183.png (open in new window)

http://www.freestatistics.org/blog/date/2009/Oct/28/t1256746280qz22zek5atw8k6i/2kk0b1256746183.ps (open in new window)

http://www.freestatistics.org/blog/date/2009/Oct/28/t1256746280qz22zek5atw8k6i/34pov1256746183.png (open in new window)

http://www.freestatistics.org/blog/date/2009/Oct/28/t1256746280qz22zek5atw8k6i/34pov1256746183.ps (open in new window)

http://www.freestatistics.org/blog/date/2009/Oct/28/t1256746280qz22zek5atw8k6i/48ce31256746183.png (open in new window)

http://www.freestatistics.org/blog/date/2009/Oct/28/t1256746280qz22zek5atw8k6i/48ce31256746183.ps (open in new window)

http://www.freestatistics.org/blog/date/2009/Oct/28/t1256746280qz22zek5atw8k6i/5380r1256746183.png (open in new window)

http://www.freestatistics.org/blog/date/2009/Oct/28/t1256746280qz22zek5atw8k6i/5380r1256746183.ps (open in new window)

http://www.freestatistics.org/blog/date/2009/Oct/28/t1256746280qz22zek5atw8k6i/6izo31256746183.png (open in new window)

http://www.freestatistics.org/blog/date/2009/Oct/28/t1256746280qz22zek5atw8k6i/6izo31256746183.ps (open in new window)

http://www.freestatistics.org/blog/date/2009/Oct/28/t1256746280qz22zek5atw8k6i/7814y1256746183.png (open in new window)

http://www.freestatistics.org/blog/date/2009/Oct/28/t1256746280qz22zek5atw8k6i/7814y1256746183.ps (open in new window)

http://www.freestatistics.org/blog/date/2009/Oct/28/t1256746280qz22zek5atw8k6i/8z67a1256746183.png (open in new window)

http://www.freestatistics.org/blog/date/2009/Oct/28/t1256746280qz22zek5atw8k6i/8z67a1256746183.ps (open in new window)

Parameters (Session):

par1 = 0 ; par2 = 36 ;

Parameters (R input):

par1 = 0 ; par2 = 36 ;

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

par1 <- as.numeric(par1)

par2 <- as.numeric(par2)

x <- as.ts(x)

y <- as.ts(y)

mylm <- lm(y~x)

cbind(mylm$resid)

library(lattice)

bitmap(file='pic1.png')

plot(y,type='l',main='Run Sequence Plot of Y[t]',xlab='time or index',ylab='value')

grid()

dev.off()

bitmap(file='pic1a.png')

plot(x,type='l',main='Run Sequence Plot of X[t]',xlab='time or index',ylab='value')

grid()

dev.off()

bitmap(file='pic1b.png')

plot(x,y,main='Scatter Plot',xlab='X[t]',ylab='Y[t]')

grid()

dev.off()

bitmap(file='pic1c.png')

plot(mylm$resid,type='l',main='Run Sequence Plot of e[t]',xlab='time or index',ylab='value')

grid()

dev.off()

bitmap(file='pic2.png')

hist(mylm$resid,main='Histogram of e[t]')

dev.off()

bitmap(file='pic3.png')

if (par1 > 0)

{

densityplot(~mylm$resid,col='black',main=paste('Density Plot of e[t]   bw = ',par1),bw=par1)

} else {

densityplot(~mylm$resid,col='black',main='Density Plot of e[t]')

}

dev.off()

bitmap(file='pic4.png')

qqnorm(mylm$resid,main='QQ plot of e[t]')

qqline(mylm$resid)

grid()

dev.off()

if (par2 > 0)

{

bitmap(file='pic5.png')

acf(mylm$resid,lag.max=par2,main='Residual Autocorrelation Function')

grid()

dev.off()

}

summary(x)

load(file='createtable')

a<-table.start()

a<-table.row.start(a)

a<-table.element(a,'Model: Y[t] = c + b X[t] + e[t]',2,TRUE)

a<-table.row.end(a)

a<-table.row.start(a)

a<-table.element(a,'c',1,TRUE)

a<-table.element(a,mylm$coeff[[1]])

a<-table.row.end(a)

a<-table.row.start(a)

a<-table.element(a,'b',1,TRUE)

a<-table.element(a,mylm$coeff[[2]])

a<-table.row.end(a)

a<-table.end(a)

table.save(a,file='mytable.tab')

a<-table.start()

a<-table.row.start(a)

a<-table.element(a,'Descriptive Statistics about e[t]',2,TRUE)

a<-table.row.end(a)

a<-table.row.start(a)

a<-table.element(a,'# observations',header=TRUE)

a<-table.element(a,length(mylm$resid))

a<-table.row.end(a)

a<-table.row.start(a)

a<-table.element(a,'minimum',header=TRUE)

a<-table.element(a,min(mylm$resid))

a<-table.row.end(a)

a<-table.row.start(a)

a<-table.element(a,'Q1',header=TRUE)

a<-table.element(a,quantile(mylm$resid,0.25))

a<-table.row.end(a)

a<-table.row.start(a)

a<-table.element(a,'median',header=TRUE)

a<-table.element(a,median(mylm$resid))

a<-table.row.end(a)

a<-table.row.start(a)

a<-table.element(a,'mean',header=TRUE)

a<-table.element(a,mean(mylm$resid))

a<-table.row.end(a)

a<-table.row.start(a)

a<-table.element(a,'Q3',header=TRUE)

a<-table.element(a,quantile(mylm$resid,0.75))

a<-table.row.end(a)

a<-table.row.start(a)

a<-table.element(a,'maximum',header=TRUE)

a<-table.element(a,max(mylm$resid))

a<-table.row.end(a)

a<-table.end(a)

table.save(a,file='mytable.tab')

This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.

Software written by Ed van Stee & Patrick Wessa

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