source('/home/pw/wessanet/cretab')



myrfcuid = 'r0711355'

x <- c(78.7,88.6,104.2,88.2,94.7,112,78.9,111.4,132.5,121.6,116.1,123.3,107.9,107,115.8,91.8,93.5,107.1,80.5,100.5,100.2,100.3,96.6,86,76.9,79.7,93.1,79.5,80.3,88.8,72.4,75.5,92.9,101.5,94.7,93,79.8,82.2,87.6,83.2,81.6,85.9,71.9,71.8,98.3,93.6,86.1,96.2,78.6,82.1,94.4,86.4,82.2,96.7,84.2,73.6,94.9,96.9,90.2,104.2,78.4,81.5,96.7,87.5,86.2,105.1,72.9,76.4,100.5,92.4,96.3,103.6,75.1,78.8,93.7,82.5,88.3,95.7,73.3,72.4,94,96.9,92.4,90.9,93.5,92,115.9,97.8,97.7,116.9,96.7,97.7,103.9,124.1,117.3,113.8,100,114.2,116.3,111.4,103.4,125.3,92.5,92,121.6,113.3,92.5,100.3,83.2,81.2,94.5,87.7,82.3,99,72.4,80.8,105.5,98.4,94.5,109.2,84.1,88.4,111.3,93.2,86.3,111.4,85.4,89.7,110.9,119.4,109.3,110.7,101.3,99,117.9,89.3,105.4,99.9,79.5,88.3,116.2,110.6,99.3,105.4,89.9,100.7,122.5,97.4,97.9,124.3,94.7,85.2,101.9,110.9,102,95.8,86.9,90.3,97.9,91.9,90.4,98.9,81.3,79.8,93.7,101.5,88.6,94.6,84.2,86.5,92.6,84.2,85.9,90,79.1,75.6,97,96.4,85.2,100.3,76.7,79,94.4,82.8,74.6,92.8,69.7,68.9,97.5,92.9,93.4,92.1,80.6,86,93.6,90.3,81.3,98.4,73.3,77.1,91.4,89,94.1,94.7,80.7,85.2,107.9,81.6,83.8,98.8,75.6,80.7)
par8 = ''
par7 = '0.95'
par6 = 'White Noise'
par5 = '12'
par4 = '1'
par3 = '1'
par2 = '1'
par1 = 'Default'
par8 <- ''
par7 <- '0.95'
par6 <- 'White Noise'
par5 <- '12'
par4 <- '1'
par3 <- '1'
par2 <- '1'
par1 <- 'Default'
#'GNU S' R Code compiled by R2WASP v. 1.2.327 (Sat, 08 Jul 2017 19:39:16 +0200)
#Author: root
#To cite this work: Wessa P., (2017), (Partial) Autocorrelation Function (v1.0.15) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_autocorrelation.wasp/
#Source of accompanying publication: 
#
if (par1 == 'Default') {
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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
if (par8 != '') par8 <- as.numeric(par8)
x <- na.omit(x)
ox <- x
if (par8 == '') {
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
} else {
x <- log(x,base=par8)
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
postscript(file="/home/pw/wessanet/rcomp/tmp/10svv1513259964.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
op <- par(mfrow=c(2,1))
plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
if (par8=='') {
mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
} else {
mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
}
plot(x,type='l', main=mytitle,xlab='time',ylab='value')
par(op)
dev.off()
postscript(file="/home/pw/wessanet/rcomp/tmp/25gxy1513259964.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)
dev.off()
postscript(file="/home/pw/wessanet/rcomp/tmp/3bwsg1513259964.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)

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,'ACF(k)',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 2:(par1+1)) {
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(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file="/home/pw/wessanet/rcomp/tmp/4yw801513259964.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,'PACF(k)',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,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(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file="/home/pw/wessanet/rcomp/tmp/5tq381513259964.tab") 

try(system("convert /home/pw/wessanet/rcomp/tmp/10svv1513259964.ps /home/pw/wessanet/rcomp/tmp/10svv1513259964.png",intern=TRUE))
try(system("convert /home/pw/wessanet/rcomp/tmp/25gxy1513259964.ps /home/pw/wessanet/rcomp/tmp/25gxy1513259964.png",intern=TRUE))
try(system("convert /home/pw/wessanet/rcomp/tmp/3bwsg1513259964.ps /home/pw/wessanet/rcomp/tmp/3bwsg1513259964.png",intern=TRUE))