Workshop 3 Q2
| Summary of compuational transaction | |
| Raw Input | view raw input (R code) |
| Raw Output | view raw output of R engine |
| Computing time | 2 seconds |
| R Server | 'Gwilym Jenkins' @ 72.249.127.135 |
| Autocorrelation Function | |||
| Time lag k | ACF(k) | T-STAT | P-value |
| 0 | 1 | 9 | 0 |
| 1 | 0.218154 | 1.9634 | 0.026516 |
| 2 | -0.14527 | -1.3074 | 0.902617 |
| 3 | -0.03339 | -0.3005 | 0.61772 |
| 4 | 0.354679 | 3.1921 | 0.001006 |
| 5 | 0.163229 | 1.4691 | 0.072845 |
| 6 | 0.095852 | 0.8627 | 0.195434 |
| 7 | 0.161803 | 1.4562 | 0.074598 |
| 8 | 0.315723 | 2.8415 | 0.002839 |
| 9 | -0.079249 | -0.7132 | 0.761127 |
| 10 | -0.192443 | -1.732 | 0.956459 |
| 11 | 0.053685 | 0.4832 | 0.315142 |
| 12 | 0.670894 | 6.038 | 0 |
| 13 | 0.046483 | 0.4183 | 0.338399 |
| 14 | -0.244703 | -2.2023 | 0.984757 |
| 15 | -0.1378 | -1.2402 | 0.890759 |
| 16 | 0.215295 | 1.9377 | 0.028075 |
| 17 | 0.067166 | 0.6045 | 0.273603 |
| 18 | 0.006589 | 0.0593 | 0.476428 |
| 19 | 0.05529 | 0.4976 | 0.310052 |
| 20 | 0.205618 | 1.8506 | 0.033939 |
| 21 | -0.124351 | -1.1192 | 0.86681 |
| 22 | -0.214002 | -1.926 | 0.971195 |
| 23 | -0.042262 | -0.3804 | 0.647663 |
| 24 | 0.471046 | 4.2394 | 3e-05 |
| 25 | 0.022568 | 0.2031 | 0.419778 |
| 26 | -0.255336 | -2.298 | 0.98793 |
| 27 | -0.213913 | -1.9252 | 0.971144 |
| 28 | 0.086982 | 0.7828 | 0.218004 |
| 29 | 0.024018 | 0.2162 | 0.414704 |
| 30 | -0.082357 | -0.7412 | 0.769647 |
| 31 | -0.067094 | -0.6038 | 0.726183 |
| 32 | 0.085919 | 0.7733 | 0.220806 |
| 33 | -0.169998 | -1.53 | 0.935042 |
| 34 | -0.246834 | -2.2215 | 0.985446 |
| 35 | -0.118087 | -1.0628 | 0.85448 |
| 36 | 0.3188 | 2.8692 | 0.002623 |
| 37 | -0.019012 | -0.1711 | 0.567718 |
| 38 | -0.22792 | -2.0513 | 0.978264 |
| 39 | -0.211118 | -1.9001 | 0.969509 |
| 40 | 0.020381 | 0.1834 | 0.427461 |
| 41 | -0.01242 | -0.1118 | 0.544362 |
| 42 | -0.095039 | -0.8554 | 0.80256 |
| 43 | -0.107462 | -0.9672 | 0.831827 |
| 44 | 0.038925 | 0.3503 | 0.363502 |
| 45 | -0.146845 | -1.3216 | 0.904989 |
| 46 | -0.230024 | -2.0702 | 0.979191 |
| 47 | -0.140101 | -1.2609 | 0.894519 |
| Partial Autocorrelation Function | |||
| Time lag k | PACF(k) | T-STAT | P-value |
| 0 | 0.218154 | 1.9634 | 0.026516 |
| 1 | -0.202498 | -1.8225 | 0.963964 |
| 2 | 0.053533 | 0.4818 | 0.315624 |
| 3 | 0.352094 | 3.1688 | 0.00108 |
| 4 | -0.018381 | -0.1654 | 0.565491 |
| 5 | 0.197664 | 1.779 | 0.039498 |
| 6 | 0.187148 | 1.6843 | 0.047984 |
| 7 | 0.211576 | 1.9042 | 0.030218 |
| 8 | -0.225 | -2.025 | 0.976919 |
| 9 | -0.166282 | -1.4965 | 0.9308 |
| 10 | -0.021619 | -0.1946 | 0.576892 |
| 11 | 0.567209 | 5.1049 | 1e-06 |
| 12 | -0.402845 | -3.6256 | 0.999749 |
| 13 | -0.001328 | -0.012 | 0.504754 |
| 14 | -0.106831 | -0.9615 | 0.830412 |
| 15 | -0.065905 | -0.5931 | 0.722632 |
| 16 | 0.111936 | 1.0074 | 0.158366 |
| 17 | -0.023022 | -0.2072 | 0.581814 |
| 18 | -0.002757 | -0.0248 | 0.509867 |
| 19 | 0.015137 | 0.1362 | 0.445987 |
| 20 | 0.023778 | 0.214 | 0.415542 |
| 21 | -0.014567 | -0.1311 | 0.551992 |
| 22 | -0.03109 | -0.2798 | 0.609833 |
| 23 | -0.011711 | -0.1054 | 0.54184 |
| 24 | 0.070373 | 0.6334 | 0.264142 |
| 25 | -0.114893 | -1.034 | 0.847903 |
| 26 | -0.096514 | -0.8686 | 0.80619 |
| 27 | -0.091528 | -0.8237 | 0.79375 |
| 28 | 0.045345 | 0.4081 | 0.342138 |
| 29 | -0.140401 | -1.2636 | 0.895002 |
| 30 | -0.003788 | -0.0341 | 0.513555 |
| 31 | -0.045985 | -0.4139 | 0.659966 |
| 32 | -0.021755 | -0.1958 | 0.577371 |
| 33 | 0.049899 | 0.4491 | 0.327282 |
| 34 | 0.018733 | 0.1686 | 0.433266 |
| 35 | 0.025265 | 0.2274 | 0.410347 |
| 36 | -0.063309 | -0.5698 | 0.714799 |
| 37 | 0.150695 | 1.3563 | 0.089393 |
| 38 | -0.034985 | -0.3149 | 0.623161 |
| 39 | -0.063026 | -0.5672 | 0.713939 |
| 40 | -0.114294 | -1.0286 | 0.846647 |
| 41 | 0.017677 | 0.1591 | 0.436996 |
| 42 | -0.122882 | -1.1059 | 0.863987 |
| 43 | -0.011428 | -0.1029 | 0.540834 |
| 44 | -0.017999 | -0.162 | 0.564143 |
| 45 | -0.07403 | -0.6663 | 0.746434 |
| 46 | 0.051422 | 0.4628 | 0.322375 |
| 47 | -0.078419 | -0.7058 | 0.758821 |
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| http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Nov/27/t11961689780q9t1uvcmhfmsv6/1fwxy1196169542.ps (open in new window) |
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| http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Nov/27/t11961689780q9t1uvcmhfmsv6/2saud1196169542.png (open in new window) |
| http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Nov/27/t11961689780q9t1uvcmhfmsv6/2saud1196169542.ps (open in new window) |
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('http://www.xycoon.com/basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(mytstat,lengthx),6))
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,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('http://www.xycoon.com/basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
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