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



myrfcuid = 'r0654958'

x <- c(3840,3140,4580,4740,3920,4900,3400,3440,2600,2220,2190,2550,2720,3720,4710,5070,6030,5280,4420,3940,2750,2980,2690,2650,4000,4150,6050,6280,5520,4800,4610,3530,2790,2750,2470,2610,3680,3820,4460,4760,3290,3610,3650,3130,2850,2720,2740,2760,3330,3850,5430,5180,4770,5360,4950,3720,3330,3000,2760,3040,3260,3780,4670,4320,4080,4210,3350,3390,2630,2350,2330,2230,2830,3230,4240,3750,4160,3960,3000,2890,2300,2320,2270,1970,2920,3310,4370,3990,3970,3850,3510,2840,2130,2280,1960,1740,2370,1980,2680,3510,3350,3290,3150,2490,2490,2930,3590,2040,2480,2760,3400,3470,3130,3670,3080,2430)
par8 = ''
par7 = '0.95'
par6 = 'White Noise'
par5 = '12'
par4 = '0'
par3 = '0'
par2 = '1'
par1 = '48'
par8 <- ''
par7 <- '0.95'
par6 <- 'White Noise'
par5 <- '12'
par4 <- '0'
par3 <- '0'
par2 <- '1'
par1 <- '48'
#'GNU S' R Code compiled by R2WASP v. 1.2.327 (Mon, 26 Sep 2016 16:44:08 +0200)
#Author: root
#To cite this work: Wessa P., (2016), (Partial) Autocorrelation Function (v1.0.13) 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/1m4371481287945.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/2c7xg1481287945.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/370v61481287945.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/4f7qm1481287945.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/5fyya1481287945.tab") 

try(system("convert /home/pw/wessanet/rcomp/tmp/1m4371481287945.ps /home/pw/wessanet/rcomp/tmp/1m4371481287945.png",intern=TRUE))
try(system("convert /home/pw/wessanet/rcomp/tmp/2c7xg1481287945.ps /home/pw/wessanet/rcomp/tmp/2c7xg1481287945.png",intern=TRUE))
try(system("convert /home/pw/wessanet/rcomp/tmp/370v61481287945.ps /home/pw/wessanet/rcomp/tmp/370v61481287945.png",intern=TRUE))