| | *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, 04 Nov 2009 12:40:38 -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/04/t1257364133kmsw6f65e4nmc9o.htm/, Retrieved Wed, 04 Nov 2009 20:48:54 +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/04/t1257364133kmsw6f65e4nmc9o.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 « | 561278,953403
531688,863508
530476,739984
516554,039015
529717,931445
516329,925670
498702,735525
485559,950110
484415,489208
585513,012854
591640,832901
591184,538059
562076,281333
530999,465840
532933,809615
518188,961997
533223,711085
511609,605386
506174,094115
496165,453587
496047,989229
579981,128842
586091,473023
574269,182369
514907,874461
476875,512441
457465,603353
455610,427846
455500,237443
418876,375959
412242,387427
379690,136583
355843,920372
462294,800073
474151,341638
429638,357104
404162,558230
376383,480981
379651,991480
377545,637891
378910,852584
349587,403733
345057,419945
308009,944364
317241,810145
413015,475329
416106,506654
384505,026884
365277,427820
359238,927542
378922,695756
397396,594516
419572,566945
425088,005901
429181,353756
403454,736163
421312,533750
517493,790015
532462,390475
500425,214996 | | Dataseries Y: | » Textbox « » Textfile « » CSV « | -728,6536239
-142,7511303
-787,4949964
-451,4486862
-608,6620624
-296,7188762
552,6397207
292,2142193
1109,976956
676,0328384
-795,667833
6,748639935
337,1910648
-28,2329969
-301,334858
959,2260214
975,7066251
338,5370335
1429,849533
239,3427171
703,4676389
668,1531457
-323,5548664
-180,6756105
268,5288785
671,1955607
-437,4322114
24,26534452
196,6884971
-230,2832497
696,8676478
-136,156074
-155,3059685
529,5866478
-321,7732118
76,40069887
-616,1635797
1191,089993
-111,028839
-541,98817
71,06336825
581,3435659
176,8095
446,251913
-59,83651764
361,9772745
-545,3283088
-584,3486789
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-271,0948937
-267,8957385
356,7999528
-1291,339839
-888,6439591
-571,7600768
-228,9650974
-610,0780403
-549,9429329
-611,468584
-351,2567187 | | Output produced by software: |
Model: Y[t] = c + b X[t] + e[t] | c | -87.772122128573 | b | 0.000189819113000873 |
Descriptive Statistics about e[t] | # observations | 60 | minimum | -1283.21060936843 | Q1 | -442.803951639795 | median | -68.2883217621445 | mean | 1.77635683940025e-14 | Q3 | 369.691745747481 | maximum | 1421.54013755964 |
| Charts produced by software: | | http://www.freestatistics.org/blog/date/2009/Nov/04/t1257364133kmsw6f65e4nmc9o/1c9ss1257363632.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Nov/04/t1257364133kmsw6f65e4nmc9o/1c9ss1257363632.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Nov/04/t1257364133kmsw6f65e4nmc9o/28y7a1257363632.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Nov/04/t1257364133kmsw6f65e4nmc9o/28y7a1257363632.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Nov/04/t1257364133kmsw6f65e4nmc9o/30t9r1257363632.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Nov/04/t1257364133kmsw6f65e4nmc9o/30t9r1257363632.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Nov/04/t1257364133kmsw6f65e4nmc9o/4eacg1257363632.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Nov/04/t1257364133kmsw6f65e4nmc9o/4eacg1257363632.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Nov/04/t1257364133kmsw6f65e4nmc9o/5o2zr1257363632.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Nov/04/t1257364133kmsw6f65e4nmc9o/5o2zr1257363632.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Nov/04/t1257364133kmsw6f65e4nmc9o/62da71257363632.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Nov/04/t1257364133kmsw6f65e4nmc9o/62da71257363632.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Nov/04/t1257364133kmsw6f65e4nmc9o/7jpbh1257363632.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Nov/04/t1257364133kmsw6f65e4nmc9o/7jpbh1257363632.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Nov/04/t1257364133kmsw6f65e4nmc9o/8w7c01257363632.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Nov/04/t1257364133kmsw6f65e4nmc9o/8w7c01257363632.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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