| WS 5 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: Sun, 22 Nov 2009 10:49:18 -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/22/t12589121917wkgegbvvkcuw9l.htm/, Retrieved Sun, 22 Nov 2009 18:50:00 +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/Nov/22/t12589121917wkgegbvvkcuw9l.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 « | 244.576
241.572
240.541
236.089
236.997
264.579
270.349
269.645
267.037
258.113
262.813
267.413
267.366
264.777
258.863
254.844
254.868
277.267
285.351
286.602
283.042
276.687
277.915
277.128
277.103
275.037
270.150
267.140
264.993
287.259
291.186
292.300
288.186
281.477
282.656
280.190
280.408
276.836
275.216
274.352
271.311
289.802
290.726
292.300
278.506
269.826
265.861
269.034
264.176
255.198
253.353
246.057
235.372
258.556
260.993
254.663
250.643
243.422
247.105
248.541
245.039
237.080
237.085
225.554
226.839
247.934
248.333
246.969
245.098
246.263
255.765
264.319
268.347
273.046
273.963
267.430
271.993
292.710
295.881 | | Dataseries Y: | » Textbox « » Textfile « » CSV « | 97
105,4
102,7
98,1
104,5
87,4
89,9
109,8
111,7
98,6
96,9
95,1
97
112,7
102,9
97,4
111,4
87,4
96,8
114,1
110,3
103,9
101,6
94,6
95,9
104,7
102,8
98,1
113,9
80,9
95,7
113,2
105,9
108,8
102,3
99
100,7
115,5
100,7
109,9
114,6
85,4
100,5
114,8
116,5
112,9
102
106
105,3
118,8
106,1
109,3
117,2
92,5
104,2
112,5
122,4
113,3
100
110,7
112,8
109,8
117,3
109,1
115,9
96
99,8
116,8
115,7
99,4
94,3
91
93,2
103,1
94,1
91,8
102,7
82,6
89,1 | | Output produced by software: |
Model: Y[t] = c + b X[t] + e[t] | c | 150.938455346336 | b | -0.179364480603179 |
Descriptive Statistics about e[t] | # observations | 79 | minimum | -18.5143940127474 | Q1 | -6.76533683565546 | median | 0.316859088612809 | mean | 7.58974458527372e-16 | Q3 | 7.2326607017098 | maximum | 16.4179961654866 |
| Charts produced by software: | | http://www.freestatistics.org/blog/date/2009/Nov/22/t12589121917wkgegbvvkcuw9l/1ut1f1258912155.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Nov/22/t12589121917wkgegbvvkcuw9l/1ut1f1258912155.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Nov/22/t12589121917wkgegbvvkcuw9l/2yjj11258912155.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Nov/22/t12589121917wkgegbvvkcuw9l/2yjj11258912155.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Nov/22/t12589121917wkgegbvvkcuw9l/3u8js1258912155.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Nov/22/t12589121917wkgegbvvkcuw9l/3u8js1258912155.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Nov/22/t12589121917wkgegbvvkcuw9l/4mcw51258912155.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Nov/22/t12589121917wkgegbvvkcuw9l/4mcw51258912155.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Nov/22/t12589121917wkgegbvvkcuw9l/51p951258912155.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Nov/22/t12589121917wkgegbvvkcuw9l/51p951258912155.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Nov/22/t12589121917wkgegbvvkcuw9l/6urkc1258912155.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Nov/22/t12589121917wkgegbvvkcuw9l/6urkc1258912155.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Nov/22/t12589121917wkgegbvvkcuw9l/7ezh41258912155.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Nov/22/t12589121917wkgegbvvkcuw9l/7ezh41258912155.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Nov/22/t12589121917wkgegbvvkcuw9l/8ig4k1258912155.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Nov/22/t12589121917wkgegbvvkcuw9l/8ig4k1258912155.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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This work is licensed under a
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