| shw-ws4p2 | *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 11:48:13 -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/t1256752140c6oa0794conqe3q.htm/, Retrieved Wed, 28 Oct 2009 18:49:00 +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/t1256752140c6oa0794conqe3q.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: | Workshop 4 Part 2.2 | | Dataseries X: | » Textbox « » Textfile « » CSV « | 7,8356
7,6944
8,0715
7,9077
7,9113
7,7639
7,8999
7,8827
7,6339
7,8789
7,8395
7,7381
7,9054
7,7467
8,0366
7,8925
7,9420
7,8891
7,9858
7,8698
7,7102
7,8164
7,7919
7,7866
7,8478
7,6497
8,1062
7,9377
7,7845
8,0143
7,8268
7,9997
7,7012
7,8124
7,8610
7,8047
7,7107
7,7719
8,0478
7,9381
7,8789
7,9327
7,8705
7,9395
7,6930
7,7506
7,8356
7,7882
7,7240
7,6751
8,0802
7,7385
7,9065
7,9132
7,7480
7,9121
7,5564
7,7790
7,8176
7,5807 | | Dataseries Y: | » Textbox « » Textfile « » CSV « | 13,0733
13,0702
13,0614
13,0417
13,0274
13,0294
13,1555
13,1715
13,1673
13,1589
13,1407
13,1465
13,1600
13,1558
13,1420
13,1405
13,1241
13,1362
13,2522
13,2703
13,2673
13,2454
13,2128
13,2263
13,2398
13,2372
13,2273
13,2060
13,1931
13,2044
13,2938
13,3225
13,3255
13,3234
13,2949
13,2971
13,2893
13,2868
13,2784
13,2588
13,2489
13,2517
13,3387
13,3517
13,3507
13,3247
13,2970
13,2999
13,2936
13,2880
13,2704
13,2607
13,2582
13,2585
13,3368
13,3468
13,3373
13,2838
13,2459
13,2308 | | Output produced by software: |
Model: Y[t] = c + b X[t] + e[t] | c | 14.2411363822260 | b | -0.129131753228255 |
Descriptive Statistics about e[t] | # observations | 60 | minimum | -0.209170363337130 | Q1 | -0.0622221536028103 | median | 0.0234875248993157 | mean | 2.17535001513849e-18 | Q3 | 0.0639655437125154 | maximum | 0.135805172529750 |
| Charts produced by software: | | http://www.freestatistics.org/blog/date/2009/Oct/28/t1256752140c6oa0794conqe3q/13ca21256752087.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Oct/28/t1256752140c6oa0794conqe3q/13ca21256752087.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Oct/28/t1256752140c6oa0794conqe3q/2f0n71256752087.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Oct/28/t1256752140c6oa0794conqe3q/2f0n71256752087.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Oct/28/t1256752140c6oa0794conqe3q/35buc1256752087.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Oct/28/t1256752140c6oa0794conqe3q/35buc1256752087.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Oct/28/t1256752140c6oa0794conqe3q/41sfk1256752087.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Oct/28/t1256752140c6oa0794conqe3q/41sfk1256752087.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Oct/28/t1256752140c6oa0794conqe3q/5ljmf1256752087.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Oct/28/t1256752140c6oa0794conqe3q/5ljmf1256752087.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Oct/28/t1256752140c6oa0794conqe3q/69jm91256752087.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Oct/28/t1256752140c6oa0794conqe3q/69jm91256752087.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Oct/28/t1256752140c6oa0794conqe3q/7zqnq1256752087.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Oct/28/t1256752140c6oa0794conqe3q/7zqnq1256752087.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Oct/28/t1256752140c6oa0794conqe3q/8otsp1256752087.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Oct/28/t1256752140c6oa0794conqe3q/8otsp1256752087.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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