| WS5 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: Mon, 02 Nov 2009 13:57:59 -0700 | | Cite this page as follows: | Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2009/Nov/02/t12571955430hef102zf2vuejv.htm/, Retrieved Mon, 02 Nov 2009 21:59:12 +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/Nov/02/t12571955430hef102zf2vuejv.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 « | 9904,642857
13710,15385
13747,69231
14517
15185,81818
11422,28571
13819,66667
12749
16217
13238
12391
14780,09091
10815,42857
14770,84615
11831
11931,3125
10611,94118
15923,18182
11094,875
16209,53846
10100
12149,6875
11644,35294
9249,947368
8980,777778
10244,52632
12457,5625
13307,46667
10839,625
11827,625
10925,94118
10675,3
9297,3
10433,21053
12261,41176
10911,22222
9334,421053
11655,05882
11080
9840,142857
7448,916667
8362,6
8465,64
8220,923077
10432,86364
8537,4
8535,464286
7997,464286
6301,413793
7595,566667
7200,483871
6152,482759
6064,259259
7269,909091
6578,44
7708,26087
6401,153846
7042,043478
8296,409091
9613,333333 | | Dataseries Y: | » Textbox « » Textfile « » CSV « | 10284,5
12792
12823,61538
13845,66667
15335,63636
11188,5
13633,25
12298,46667
15353,63636
12696,15385
12213,93333
13683,72727
11214,14286
13950,23077
11179,13333
11801,875
11188,82353
16456,27273
11110,0625
16530,69231
10038,41176
11681,25
11148,88235
8631
9386,444444
9764,736842
12043,75
12948,06667
10987,125
11648,3125
10633,35294
10219,3
9037,6
10296,31579
11705,41176
10681,94444
9362,947368
11306,35294
10984,45
10062,61905
8118,583333
8867,48
8346,72
8529,307692
10697,18182
8591,84
8695,607143
8125,571429
7009,758621
7883,466667
7527,645161
6763,758621
6682,333333
7855,681818
6738,88
7895,434783
6361,884615
6935,956522
8344,454545
9107,944444 | | Output produced by software: |
Model: Y[t] = c + b X[t] + e[t] | c | 944.05820541625 | b | 0.902993217533955 |
Descriptive Statistics about e[t] | # observations | 60 | minimum | -665.6979412663 | Q1 | -236.135567498391 | median | -33.0103633267326 | mean | -1.83371836233922e-15 | Q3 | 238.473673603736 | maximum | 1133.68933956378 |
| Charts produced by software: | | http://www.freestatistics.org/blog/date/2009/Nov/02/t12571955430hef102zf2vuejv/11tmw1257195476.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Nov/02/t12571955430hef102zf2vuejv/11tmw1257195476.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Nov/02/t12571955430hef102zf2vuejv/2a7on1257195476.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Nov/02/t12571955430hef102zf2vuejv/2a7on1257195476.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Nov/02/t12571955430hef102zf2vuejv/31dq61257195476.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Nov/02/t12571955430hef102zf2vuejv/31dq61257195476.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Nov/02/t12571955430hef102zf2vuejv/4miev1257195476.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Nov/02/t12571955430hef102zf2vuejv/4miev1257195476.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Nov/02/t12571955430hef102zf2vuejv/5rs8w1257195476.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Nov/02/t12571955430hef102zf2vuejv/5rs8w1257195476.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Nov/02/t12571955430hef102zf2vuejv/6pncx1257195476.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Nov/02/t12571955430hef102zf2vuejv/6pncx1257195476.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Nov/02/t12571955430hef102zf2vuejv/7kp721257195476.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Nov/02/t12571955430hef102zf2vuejv/7kp721257195476.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Nov/02/t12571955430hef102zf2vuejv/8emhw1257195476.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Nov/02/t12571955430hef102zf2vuejv/8emhw1257195476.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')
| |
Copyright
This work is licensed under a
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