| | *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, 05 Nov 2009 08:12:25 -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/05/t1257434047h2873ns9ggocw05.htm/, Retrieved Thu, 05 Nov 2009 16:14:07 +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/05/t1257434047h2873ns9ggocw05.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 « | 3278,397949
3153,10596
3161,180194
3130,213256
3118,064786
3081,668613
3000,397031
2956,091623
2971,220093
3357,120296
3416,494173
3409,204939
3290,467184
3164,480194
3179,278664
3149,671725
3127,894021
3053,761674
3009,816266
3002,797031
3002,777031
3351,371061
3395,956469
3351,201061
3113,895551
2951,152389
2884,609276
2914,296215
2825,955399
2700,008409
2656,033001
2544,764481
2455,843665
2871,210807
2945,173154
2774,860756
2664,282236
2539,325247
2569,262185
2591,929889
2526,026777
2415,688257
2393,710553
2239,106625
2306,409737
2677,461471
2721,226879
2602,859124
2513,748308
2483,441369
2586,930655
2675,951471
2713,377644
2734,965348
2742,604583
2646,204532
2734,905348
3112,706317
3187,138664
3068,300909 | | Dataseries Y: | » Textbox « » Textfile « » CSV « | -19,05358195
-43,46849122
-49,82643774
-42,99465168
-40,97875866
-28,48902609
-39,65161444
-52,80393537
-37,91982839
15,96695292
35,10338081
33,56132732
10,08847154
-12,72643774
-5,142330764
7,389455289
1,563294829
-4,657240038
8,990439042
13,14838556
9,648385555
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-16,04598885
-15,82447023
-28,85625629
-29,26089813
-36,3758074
-29,02812832
-42,85893062
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18,79142279
18,91195766
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34,3933903
42,81490892
50,18410662
61,25794616
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109,3533043
162,9559787
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-76,90759345
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21,13713437
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26,18481345 | | Output produced by software: |
Model: Y[t] = c + b X[t] + e[t] | c | -1.49548939446923 | b | 0.000518073906807889 |
Descriptive Statistics about e[t] | # observations | 60 | minimum | -102.093395076608 | Q1 | -38.400376062162 | median | 1.89987658244984 | mean | 5.96860523967753e-16 | Q3 | 27.8906713021142 | maximum | 163.064345169861 |
| Charts produced by software: | | http://www.freestatistics.org/blog/date/2009/Nov/05/t1257434047h2873ns9ggocw05/1h4yj1257433939.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Nov/05/t1257434047h2873ns9ggocw05/1h4yj1257433939.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Nov/05/t1257434047h2873ns9ggocw05/2tz621257433939.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Nov/05/t1257434047h2873ns9ggocw05/2tz621257433939.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Nov/05/t1257434047h2873ns9ggocw05/3po9l1257433939.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Nov/05/t1257434047h2873ns9ggocw05/3po9l1257433939.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Nov/05/t1257434047h2873ns9ggocw05/48dm41257433939.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Nov/05/t1257434047h2873ns9ggocw05/48dm41257433939.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Nov/05/t1257434047h2873ns9ggocw05/5wcbq1257433939.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Nov/05/t1257434047h2873ns9ggocw05/5wcbq1257433939.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Nov/05/t1257434047h2873ns9ggocw05/6pu2e1257433939.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Nov/05/t1257434047h2873ns9ggocw05/6pu2e1257433939.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Nov/05/t1257434047h2873ns9ggocw05/7s3g71257433939.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Nov/05/t1257434047h2873ns9ggocw05/7s3g71257433939.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Nov/05/t1257434047h2873ns9ggocw05/8nk4a1257433939.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Nov/05/t1257434047h2873ns9ggocw05/8nk4a1257433939.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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