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Taak 7 -Q6 (6)

*The author of this computation has been verified*
R Software Module: rwasp_autocorrelation.wasp (opens new window with default values)
Title produced by software: (Partial) Autocorrelation Function
Date of computation: Fri, 28 Nov 2008 05:57:42 -0700
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2008/Nov/28/t1227877114aokpxgpyghue7nz.htm/, Retrieved Fri, 28 Nov 2008 12:58:36 +0000
 
BibTeX entries for LaTeX users:
@Manual{KEY,
    author = {{YOUR NAME}},
    publisher = {Office for Research Development and Education},
    title = {Statistical Computations at FreeStatistics.org, URL http://www.freestatistics.org/blog/date/2008/Nov/28/t1227877114aokpxgpyghue7nz.htm/},
    year = {2008},
}
@Manual{R,
    title = {R: A Language and Environment for Statistical Computing},
    author = {{R Development Core Team}},
    organization = {R Foundation for Statistical Computing},
    address = {Vienna, Austria},
    year = {2008},
    note = {{ISBN} 3-900051-07-0},
    url = {http://www.R-project.org},
}
 
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
 
Feedback Forum:
2008-11-27 13:41:43 [a2386b643d711541400692649981f2dc] [reply
test

Post a new message
 
Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
112 118 132 129 121 135 148 148 136 119 104 118 115 126 141 135 125 149 170 170 158 133 114 140 145 150 178 163 172 178 199 199 184 162 146 166 171 180 193 181 183 218 230 242 209 191 172 194 196 196 236 235 229 243 264 272 237 211 180 201 204 188 235 227 234 264 302 293 259 229 203 229 242 233 267 269 270 315 364 347 312 274 237 278 284 277 317 313 318 374 413 405 355 306 271 306 315 301 356 348 355 422 465 467 404 347 305 336 340 318 362 348 363 435 491 505 404 359 310 337 360 342 406 396 420 472 548 559 463 407 362 405 417 391 419 461 472 535 622 606 508 461 390 432
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132


Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.332039-3.80040.00011
20.083440.9550.170664
3-0.210458-2.40880.008698
40.0391540.44810.327398
50.0499150.57130.284388
60.0440820.50450.307362
7-0.062545-0.71590.237675
8-0.001067-0.01220.495139
90.1627181.86240.032394
10-0.05311-0.60790.272161
110.0764850.87540.191476
12-0.410552-4.6993e-06
130.1696681.94190.027145
14-0.070911-0.81160.209242
150.1448061.65740.049917
16-0.148873-1.70390.045382
170.0941441.07750.141611
180.0087220.09980.460318
190.0024560.02810.48881
20-0.112715-1.29010.099646
210.0223840.25620.399102
22-0.069491-0.79540.213922
230.211752.42360.008367
24-0.013944-0.15960.436724
25-0.11199-1.28180.10109
260.0404430.46290.322105
27-0.026113-0.29890.382756
280.061910.70860.23992
29-0.026866-0.30750.379477
30-0.053749-0.61520.269748
31-0.039517-0.45230.325905
320.1937132.21710.014169
33-0.123472-1.41320.079983
340.0792220.90670.183105
35-0.178556-2.04370.021495
360.0072280.08270.467096


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.332039-3.80040.00011
2-0.030132-0.34490.365372
3-0.215899-2.47110.007377
4-0.114704-1.31280.095766
50.0279820.32030.374638
60.0378550.43330.332767
7-0.052061-0.59590.276146
8-0.016784-0.19210.423981
90.2092842.39540.009009
100.0593970.67980.248906
110.0915281.04760.14838
12-0.351236-4.02014.9e-05
13-0.09691-1.10920.134691
14-0.088253-1.01010.157154
15-0.063526-0.72710.234235
16-0.170035-1.94610.026889
170.0397630.45510.32489
180.1321321.51230.06643
19-0.003849-0.04410.482464
20-0.127537-1.45970.07338
210.1340731.53450.063655
22-0.039893-0.45660.324357
230.1820592.08380.019562
24-0.074983-0.85820.19617
25-0.107887-1.23480.109553
26-0.038152-0.43670.331534
27-0.004094-0.04690.48135
28-0.125009-1.43080.077436
290.0383610.43910.33067
300.0057170.06540.473964
31-0.061196-0.70040.242453
320.0375050.42930.334219
330.0249780.28590.387709
340.0120340.13770.44533
350.0294660.33730.368232
36-0.165042-1.8890.030552
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/28/t1227877114aokpxgpyghue7nz/1d4k21227877061.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/28/t1227877114aokpxgpyghue7nz/1d4k21227877061.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/28/t1227877114aokpxgpyghue7nz/25mp31227877061.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/28/t1227877114aokpxgpyghue7nz/25mp31227877061.ps (open in new window)


 
Parameters (Session):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
 
Parameters (R input):
par1 = 36 ; par2 = -0.3 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
 
R code (references can be found in the software module):
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 (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 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='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,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='mytable1.tab')
 





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