| WS305 | *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: Thu, 29 Oct 2009 05:44:40 -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/29/t1256816746o6py5s50pzubza2.htm/, Retrieved Thu, 29 Oct 2009 12:45:48 +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/29/t1256816746o6py5s50pzubza2.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: | | | Dataseries X: | » Textbox « » Textfile « » CSV « | 10,35713947
10,30547997
10,42945791
10,57438912
10,42531246
10,13038405
10,84821024
10,72753141
10,86891125
10,79063779
10,63933496
10,81144365
10,39656663
10,41568224
10,48136416
10,51959169
10,48237361
9,950943494
10,97767053
10,91426995
11,09041592
10,85069539
10,84242001
10,75023526
10,48301801
10,41190027
10,46860248
10,63748873
10,45923874
9,962228048
10,93535444
10,80427879
10,99747248
10,78109982
10,76789534
10,82966921
10,59810865
10,43848858
10,51488223
10,74410601
10,50717491
10,0804615
10,95563697
10,94002938
10,96226694
11,0397167
10,79812555
10,84286962
10,58749308
10,41069664
10,54867797
10,67570004
10,32875529
9,99679573
10,77964355
10,7396089
10,834391
10,78132847
10,55555229
10,69448713 | | Dataseries Y: | » Textbox « » Textfile « » CSV « | 7.6
8
8.1
7.7
7.5
7.6
7.8
7.8
7.8
7.5
7.5
7.1
7.5
7.5
7.6
7.7
7.7
7.9
8.1
8.2
8.2
8.2
7.9
7.3
6.9
6.6
6.7
6.9
7
7.1
7.2
7.1
6.9
7
6.8
6.4
6.7
6.6
6.4
6.3
6.2
6.5
6.8
6.8
6.4
6.1
5.8
6.1
7.2
7.3
6.9
6.1
5.8
6.2
7.1
7.7
7.9
7.7
7.4
7.5 | | Output produced by software: |
Model: Y[t] = c + b X[t] + e[t] | c | 5.70277047569052 | b | 0.137627279083555 |
Descriptive Statistics about e[t] | # observations | 60 | minimum | -1.38888711433964 | Q1 | -0.447991646270688 | median | 0.0331284219232342 | mean | 9.12536828508633e-20 | Q3 | 0.52485106017399 | maximum | 1.0038778416193 |
| Charts produced by software: | | http://www.freestatistics.org/blog/date/2009/Oct/29/t1256816746o6py5s50pzubza2/1d8241256816673.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Oct/29/t1256816746o6py5s50pzubza2/1d8241256816673.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Oct/29/t1256816746o6py5s50pzubza2/23ksv1256816673.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Oct/29/t1256816746o6py5s50pzubza2/23ksv1256816673.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Oct/29/t1256816746o6py5s50pzubza2/36r0o1256816673.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Oct/29/t1256816746o6py5s50pzubza2/36r0o1256816673.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Oct/29/t1256816746o6py5s50pzubza2/4jqi61256816673.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Oct/29/t1256816746o6py5s50pzubza2/4jqi61256816673.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Oct/29/t1256816746o6py5s50pzubza2/5duna1256816673.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Oct/29/t1256816746o6py5s50pzubza2/5duna1256816673.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Oct/29/t1256816746o6py5s50pzubza2/6cdbt1256816673.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Oct/29/t1256816746o6py5s50pzubza2/6cdbt1256816673.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Oct/29/t1256816746o6py5s50pzubza2/7ne0y1256816673.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Oct/29/t1256816746o6py5s50pzubza2/7ne0y1256816673.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Oct/29/t1256816746o6py5s50pzubza2/82g5c1256816673.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Oct/29/t1256816746o6py5s50pzubza2/82g5c1256816673.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')
| |
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