Textiel_Q2b
| Summary of compuational transaction | |
| Raw Input | view raw input (R code) |
| Raw Output | view raw output of R engine |
| Computing time | 1 seconds |
| R Server | 'Gwilym Jenkins' @ 72.249.127.135 |
| Autocorrelation Function | |||
| Time lag k | ACF(k) | T-STAT | P-value |
| 0 | 1 | 8.4853 | 0 |
| 1 | -0.257372 | -2.1839 | 0.983885 |
| 2 | -0.190883 | -1.6197 | 0.945165 |
| 3 | 0.150998 | 1.2813 | 0.102107 |
| 4 | -0.06813 | -0.5781 | 0.717499 |
| 5 | 0.002123 | 0.018 | 0.49284 |
| 6 | 0.150818 | 1.2797 | 0.102374 |
| 7 | -0.147515 | -1.2517 | 0.892636 |
| 8 | 0.004284 | 0.0364 | 0.485551 |
| 9 | 0.12404 | 1.0525 | 0.148041 |
| 10 | -0.098364 | -0.8347 | 0.796662 |
| 11 | 0.158512 | 1.345 | 0.09142 |
| 12 | -0.10643 | -0.9031 | 0.815255 |
| 13 | -0.182601 | -1.5494 | 0.937168 |
| 14 | -0.019204 | -0.163 | 0.564495 |
| 15 | 0.122493 | 1.0394 | 0.151052 |
| 16 | -0.010049 | -0.0853 | 0.533858 |
| 17 | -0.091762 | -0.7786 | 0.780625 |
| 18 | -0.092706 | -0.7866 | 0.782961 |
| 19 | 0.230249 | 1.9537 | 0.027309 |
| 20 | -0.150344 | -1.2757 | 0.896921 |
| 21 | 0.034838 | 0.2956 | 0.384188 |
| 22 | 0.051984 | 0.4411 | 0.33023 |
| 23 | -0.15881 | -1.3476 | 0.908986 |
| 24 | 0.09933 | 0.8428 | 0.201054 |
| 25 | -0.014106 | -0.1197 | 0.547471 |
| 26 | -0.005569 | -0.0473 | 0.51878 |
| 27 | 0.05979 | 0.5073 | 0.306736 |
| 28 | -0.071422 | -0.606 | 0.726802 |
| 29 | -0.120816 | -1.0252 | 0.845639 |
| 30 | 0.170111 | 1.4434 | 0.076617 |
| 31 | -0.00301 | -0.0255 | 0.510152 |
| 32 | -0.103844 | -0.8811 | 0.809414 |
| 33 | 0.039766 | 0.3374 | 0.36839 |
| 34 | -0.119603 | -1.0149 | 0.843216 |
| 35 | 0.0781 | 0.6627 | 0.25482 |
| 36 | 0.083826 | 0.7113 | 0.239603 |
| 37 | -0.066258 | -0.5622 | 0.712143 |
| 38 | 0.00264 | 0.0224 | 0.491096 |
| 39 | 0.030172 | 0.256 | 0.399335 |
| 40 | -0.030708 | -0.2606 | 0.602415 |
| 41 | 0.050562 | 0.429 | 0.334591 |
| 42 | 0.010155 | 0.0862 | 0.465786 |
| 43 | -0.027239 | -0.2311 | 0.591065 |
| 44 | -0.044476 | -0.3774 | 0.646502 |
| 45 | 0.029157 | 0.2474 | 0.402648 |
| 46 | 0.054898 | 0.4658 | 0.321374 |
| 47 | -0.030016 | -0.2547 | 0.600157 |
| Partial Autocorrelation Function | |||
| Time lag k | PACF(k) | T-STAT | P-value |
| 0 | -0.257372 | -2.1839 | 0.983885 |
| 1 | -0.275363 | -2.3365 | 0.988875 |
| 2 | 0.020246 | 0.1718 | 0.432041 |
| 3 | -0.075921 | -0.6442 | 0.739258 |
| 4 | 0.004138 | 0.0351 | 0.486043 |
| 5 | 0.138862 | 1.1783 | 0.121281 |
| 6 | -0.057541 | -0.4883 | 0.686573 |
| 7 | 0.000667 | 0.0057 | 0.497749 |
| 8 | 0.070007 | 0.594 | 0.277176 |
| 9 | -0.02213 | -0.1878 | 0.57421 |
| 10 | 0.182422 | 1.5479 | 0.063015 |
| 11 | -0.074894 | -0.6355 | 0.73644 |
| 12 | -0.159482 | -1.3532 | 0.909895 |
| 13 | -0.243056 | -2.0624 | 0.978611 |
| 14 | -0.034751 | -0.2949 | 0.615531 |
| 15 | 0.026145 | 0.2219 | 0.412529 |
| 16 | -0.102762 | -0.872 | 0.806936 |
| 17 | -0.14792 | -1.2551 | 0.893257 |
| 18 | 0.209626 | 1.7787 | 0.039752 |
| 19 | -0.111137 | -0.943 | 0.82559 |
| 20 | 0.099677 | 0.8458 | 0.200238 |
| 21 | 0.024148 | 0.2049 | 0.419114 |
| 22 | -0.025333 | -0.215 | 0.584794 |
| 23 | 0.086229 | 0.7317 | 0.23337 |
| 24 | -0.131058 | -1.1121 | 0.865094 |
| 25 | 0.006172 | 0.0524 | 0.47919 |
| 26 | -0.029695 | -0.252 | 0.59911 |
| 27 | -0.105068 | -0.8915 | 0.812192 |
| 28 | -0.081507 | -0.6916 | 0.754297 |
| 29 | -0.14337 | -1.2165 | 0.886123 |
| 30 | 0.069473 | 0.5895 | 0.278687 |
| 31 | -0.020317 | -0.1724 | 0.568195 |
| 32 | -0.012497 | -0.106 | 0.542077 |
| 33 | -0.139563 | -1.1842 | 0.879892 |
| 34 | 0.007245 | 0.0615 | 0.475574 |
| 35 | 0.092887 | 0.7882 | 0.216593 |
| 36 | 0.053017 | 0.4499 | 0.327079 |
| 37 | -0.025566 | -0.2169 | 0.585563 |
| 38 | 0.103201 | 0.8757 | 0.192056 |
| 39 | -0.014644 | -0.1243 | 0.549271 |
| 40 | -0.021414 | -0.1817 | 0.571837 |
| 41 | -0.040757 | -0.3458 | 0.634761 |
| 42 | -0.028578 | -0.2425 | 0.595456 |
| 43 | -0.010247 | -0.087 | 0.534524 |
| 44 | -0.100767 | -0.855 | 0.802316 |
| 45 | -0.0936 | -0.7942 | 0.785161 |
| 46 | -0.068187 | -0.5786 | 0.717664 |
| 47 | 0.00094 | 0.008 | 0.49683 |
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| http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Nov/27/t1196182175sygpaa7ymt3vtgh/1081e1196182721.png (open in new window) |
| http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Nov/27/t1196182175sygpaa7ymt3vtgh/1081e1196182721.ps (open in new window) |
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| http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Nov/27/t1196182175sygpaa7ymt3vtgh/2pri91196182721.png (open in new window) |
| http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Nov/27/t1196182175sygpaa7ymt3vtgh/2pri91196182721.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')
Copyright
This work is licensed under a
Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.
Software written by Ed van Stee & Patrick Wessa
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