R version 2.15.2 (2012-10-26) -- "Trick or Treat"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> x <- c(41
+ ,48
+ ,52
+ ,53
+ ,65
+ ,68
+ ,64
+ ,57
+ ,55
+ ,54
+ ,59
+ ,66
+ ,83
+ ,100
+ ,101
+ ,98
+ ,92
+ ,85
+ ,92
+ ,94
+ ,90
+ ,99
+ ,108
+ ,106
+ ,99
+ ,100
+ ,99
+ ,93
+ ,92
+ ,93
+ ,98
+ ,95
+ ,86
+ ,85
+ ,83
+ ,85
+ ,80
+ ,84
+ ,86
+ ,87
+ ,85
+ ,83
+ ,76
+ ,70
+ ,78
+ ,83
+ ,88
+ ,90
+ ,90
+ ,97
+ ,102
+ ,101
+ ,98
+ ,98
+ ,100
+ ,102
+ ,108
+ ,112
+ ,110
+ ,110
+ ,117
+ ,120
+ ,119
+ ,113
+ ,123
+ ,120
+ ,129
+ ,132
+ ,136
+ ,141
+ ,122
+ ,137
+ ,145
+ ,155
+ ,148
+ ,153
+ ,172
+ ,169
+ ,180
+ ,190
+ ,233
+ ,231
+ ,245
+ ,299
+ ,385
+ ,381
+ ,322
+ ,317
+ ,323
+ ,393
+ ,372
+ ,387
+ ,413
+ ,405
+ ,407
+ ,392
+ ,363
+ ,358
+ ,375
+ ,370
+ ,386
+ ,353
+ ,347
+ ,363
+ ,350
+ ,347
+ ,333
+ ,327
+ ,328
+ ,309
+ ,286
+ ,319
+ ,285
+ ,301
+ ,315
+ ,388
+ ,383
+ ,417
+ ,423
+ ,430
+ ,486
+ ,394
+ ,411
+ ,431
+ ,447
+ ,432
+ ,457
+ ,453
+ ,441
+ ,416
+ ,451
+ ,432
+ ,436
+ ,429
+ ,421
+ ,425
+ ,437
+ ,432
+ ,413
+ ,419
+ ,436
+ ,421
+ ,424
+ ,402
+ ,403
+ ,400
+ ,426
+ ,418
+ ,403
+ ,405
+ ,394
+ ,400
+ ,376
+ ,367
+ ,354
+ ,348
+ ,364
+ ,329
+ ,348
+ ,330
+ ,351
+ ,336
+ ,332
+ ,349
+ ,384
+ ,370
+ ,346
+ ,338
+ ,335
+ ,338
+ ,347
+ ,372
+ ,376
+ ,373
+ ,392
+ ,374
+ ,385
+ ,372
+ ,372
+ ,352
+ ,353
+ ,330
+ ,348
+ ,346
+ ,361
+ ,364
+ ,375
+ ,369
+ ,342
+ ,338
+ ,337
+ ,333
+ ,336
+ ,322
+ ,329
+ ,322
+ ,325
+ ,331
+ ,311
+ ,318
+ ,312
+ ,315
+ ,333
+ ,311
+ ,321
+ ,316
+ ,284
+ ,281
+ ,280
+ ,266
+ ,268
+ ,278
+ ,292
+ ,263
+ ,265
+ ,266
+ ,251
+ ,256
+ ,280
+ ,283
+ ,289
+ ,308
+ ,293
+ ,281
+ ,274
+ ,277
+ ,278
+ ,250
+ ,265
+ ,269
+ ,262
+ ,258
+ ,251
+ ,243
+ ,247
+ ,224
+ ,241
+ ,255
+ ,261
+ ,267
+ ,264
+ ,270
+ ,275
+ ,281
+ ,301
+ ,321
+ ,355
+ ,319
+ ,299
+ ,319
+ ,328
+ ,348
+ ,335
+ ,333
+ ,331
+ ,318
+ ,325
+ ,318
+ ,313
+ ,313
+ ,315
+ ,298
+ ,311
+ ,309
+ ,297
+ ,294
+ ,291
+ ,292
+ ,290
+ ,287
+ ,281
+ ,295
+ ,289
+ ,286
+ ,295
+ ,291
+ ,315
+ ,306
+ ,304
+ ,309
+ ,307
+ ,299
+ ,294
+ ,295
+ ,296
+ ,294
+ ,292
+ ,290
+ ,289
+ ,310
+ ,297
+ ,301
+ ,302
+ ,297
+ ,305
+ ,298
+ ,299
+ ,273
+ ,267
+ ,266
+ ,284
+ ,276
+ ,284
+ ,285
+ ,267
+ ,273
+ ,262
+ ,246
+ ,251
+ ,248
+ ,255
+ ,245
+ ,251
+ ,261
+ ,259
+ ,271
+ ,258
+ ,253
+ ,239
+ ,241
+ ,281
+ ,285
+ ,289
+ ,290
+ ,290
+ ,305
+ ,289
+ ,302
+ ,294
+ ,301
+ ,299
+ ,312
+ ,310
+ ,312
+ ,309
+ ,292
+ ,284
+ ,290
+ ,292
+ ,297
+ ,316
+ ,320
+ ,304
+ ,301
+ ,322
+ ,309
+ ,308
+ ,311
+ ,328
+ ,343
+ ,345
+ ,342
+ ,350
+ ,322
+ ,311
+ ,319
+ ,328
+ ,320
+ ,321
+ ,331
+ ,342
+ ,322
+ ,307
+ ,302
+ ,307
+ ,301
+ ,315
+ ,342
+ ,333
+ ,332
+ ,332
+ ,330
+ ,322
+ ,319
+ ,345
+ ,324
+ ,322
+ ,325
+ ,325
+ ,335
+ ,335
+ ,335
+ ,341
+ ,320
+ ,324
+ ,328
+ ,329
+ ,338
+ ,336
+ ,361
+ ,353
+ ,352
+ ,393
+ ,393
+ ,420
+ ,435
+ ,468
+ ,466
+ ,481
+ ,511
+ ,508
+ ,480
+ ,496
+ ,487
+ ,473
+ ,473
+ ,488
+ ,479
+ ,501
+ ,503
+ ,497
+ ,496
+ ,490
+ ,482
+ ,486
+ ,493
+ ,522
+ ,546
+ ,534
+ ,570
+ ,624
+ ,640
+ ,589
+ ,559
+ ,570
+ ,590
+ ,588
+ ,566
+ ,630
+ ,576
+ ,642
+ ,626
+ ,718
+ ,750
+ ,690
+ ,667
+ ,689
+ ,666
+ ,662
+ ,666
+ ,681
+ ,705
+ ,783
+ ,758
+ ,776
+ ,812
+ ,824
+ ,887
+ ,984
+ ,1016
+ ,897
+ ,980
+ ,957
+ ,969
+ ,1063
+ ,1048
+ ,968
+ ,1022
+ ,1014
+ ,1035
+ ,1069
+ ,1038
+ ,1133
+ ,1260
+ ,1207
+ ,1235
+ ,1297
+ ,1179
+ ,1332
+ ,1323
+ ,1248
+ ,1248
+ ,1260
+ ,1260
+ ,1317
+ ,1308
+ ,1380
+ ,1327
+ ,1327)
> par8 = ''
> par7 = '0.95'
> par6 = 'White Noise'
> par5 = '12'
> par4 = '1'
> par3 = '1'
> par2 = '1'
> par1 = 'Default'
> 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)
> 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="/var/fisher/rcomp/tmp/1gcb71356025769.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()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/2u6gz1356025769.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()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/3166g1356025769.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()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000 -0.177029658 -0.051916550  0.002124185 -0.041601293
 [6]  0.037081767  0.094343140 -0.106436067  0.076225770 -0.038473024
[11] -0.062142944  0.159818839 -0.385187656 -0.020121766  0.056789379
[16] -0.000730356  0.013357574  0.060740706 -0.087148204 -0.005803982
[21] -0.030300993  0.049607622  0.032907411 -0.041207447 -0.094050980
[26]  0.068332890 -0.020609961
> (mypacf <- c(rpacf$acf))
 [1] -0.177029658 -0.085949669 -0.023995899 -0.052175644  0.018928538
 [6]  0.102844298 -0.069068846  0.059456481 -0.022139284 -0.064049576
[11]  0.129975647 -0.372070520 -0.133079492 -0.044920319 -0.007394072
[16] -0.004293444  0.061820006  0.048586058 -0.076559682 -0.012418602
[21]  0.037301266 -0.042304285  0.031966164 -0.266306882 -0.058069377
[26] -0.050157905
> lengthx <- length(x)
> sqrtn <- sqrt(lengthx)
> 
> #Note: the /var/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/fisher/rcomp/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 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="/var/fisher/rcomp/tmp/4ev8k1356025769.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,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="/var/fisher/rcomp/tmp/5g9ms1356025769.tab") 
> 
> try(system("convert tmp/1gcb71356025769.ps tmp/1gcb71356025769.png",intern=TRUE))
character(0)
> try(system("convert tmp/2u6gz1356025769.ps tmp/2u6gz1356025769.png",intern=TRUE))
character(0)
> try(system("convert tmp/3166g1356025769.ps tmp/3166g1356025769.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.917   0.591   2.521