| model_3 | *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: Tue, 29 Dec 2009 02:45:53 -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/Dec/29/t1262080000z1wvdw47pqjsxm7.htm/, Retrieved Tue, 29 Dec 2009 10:46:50 +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/Dec/29/t1262080000z1wvdw47pqjsxm7.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: | Paper | | Dataseries X: | » Textbox « » Textfile « » CSV « | -50,74706514
-48,93785253
-47,15852374
-45,17543128
-46,94276659
-47,29735115
-42,25443623
-45,636011
-40,5706558
-34,94664303
-32,38276206
-32,7877051
-26,14063339
-22,09709979
-21,64764034
-16,98759233
-17,90735002
-15,42376615
-11,53425643
-13,32206639
-9,014273186
-4,253762759
-0,425986315
2,843751224
5,304276145
3,352359662
4,868775794
2,749804351
0,226872673
0,617183142
-0,16183631
0,436478416
2,548934314
6,596089819
10,3692672
9,720903334
12,32020087
12,14404607
12,94839943
13,76345412
16,31332119
16,81965467
15,68801627
17,19533256
18,78454744
24,92140923
27,36016736
27,69815372
30,48854798
30,43069115
30,29093572
28,97275052
27,2951215
25,22718201
26,17030799
25,74716525
29,830356
38,0397072
56,54216423
59,12713853 | | Dataseries Y: | » Textbox « » Textfile « » CSV « | -7,384479833
-348,812296
656,3387963
168,4268193
163,9341261
-219,1238071
131,7351533
68,87952107
-499,4813227
88,460018
-3,676899151
-250,2346886
174,1014888
-231,4249098
544,4571966
124,3024887
245,2234366
98,23681742
372,6587033
36,0872455
-337,1878898
-72,72145156
-121,8431801
-137,6524521
19,966092
-447,5428034
769,4438158
243,4453361
-164,2602175
454,3943467
-69,44942508
405,8522526
-358,8682021
-83,29905889
50,36917358
-94,12503992
-307,9726466
-171,4972374
581,7501227
244,4978459
74,07234434
218,1732414
41,97296758
230,9245802
-379,8087485
-230,0475763
-14,66583292
-134,2125562
-277,3250263
-389,3945325
682,2209027
-261,6970045
148,0023313
158,047103
-258,1716876
153,2005099
-667,3263955
-162,5924918
-58,96570282
-588,4092144 | | Output produced by software: |
Model: Y[t] = c + b X[t] + e[t] | c | -2.27534584045291e-09 | b | -1.97826169300941 |
Descriptive Statistics about e[t] | # observations | 60 | minimum | -608.314144934091 | Q1 | -204.88598395388 | median | -5.8338697097854 | mean | 1.04143545639109e-14 | Q3 | 202.533203583806 | maximum | 779.075528447397 |
| Charts produced by software: | | http://www.freestatistics.org/blog/date/2009/Dec/29/t1262080000z1wvdw47pqjsxm7/1d57e1262079948.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Dec/29/t1262080000z1wvdw47pqjsxm7/1d57e1262079948.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Dec/29/t1262080000z1wvdw47pqjsxm7/2vkjr1262079948.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Dec/29/t1262080000z1wvdw47pqjsxm7/2vkjr1262079948.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Dec/29/t1262080000z1wvdw47pqjsxm7/39fq71262079948.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Dec/29/t1262080000z1wvdw47pqjsxm7/39fq71262079948.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Dec/29/t1262080000z1wvdw47pqjsxm7/4w7li1262079948.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Dec/29/t1262080000z1wvdw47pqjsxm7/4w7li1262079948.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Dec/29/t1262080000z1wvdw47pqjsxm7/5idvq1262079948.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Dec/29/t1262080000z1wvdw47pqjsxm7/5idvq1262079948.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Dec/29/t1262080000z1wvdw47pqjsxm7/6cl6k1262079948.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Dec/29/t1262080000z1wvdw47pqjsxm7/6cl6k1262079948.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Dec/29/t1262080000z1wvdw47pqjsxm7/7qwun1262079948.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Dec/29/t1262080000z1wvdw47pqjsxm7/7qwun1262079948.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2009/Dec/29/t1262080000z1wvdw47pqjsxm7/8rolf1262079948.png (open in new window) | http://www.freestatistics.org/blog/date/2009/Dec/29/t1262080000z1wvdw47pqjsxm7/8rolf1262079948.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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