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Data:
1.967478768 2.001817584 2.045607581 2.002844284 2.041901208 2.032960967 1.966356052 1.997684181 2.051104827 2.050649534 2.051104827 2.019415808 2.039567496 2.039099144 2.071520755 2.031053477 2.057426369 2.071953539 1.998721552 2.017443159 2.046988839 2.06672997 2.043758604 2.004889809 2.027211349 2.025761096 2.05921478 2.053826002 2.046528938 2.055630135 2.018430691 2.005399561 2.059660669 2.080515568 2.044684139 2.02137885 2.043295048 2.034859533 2.065852913 2.057874202 2.036277655 2.062768432 2.027693613 1.997684181 2.07881725 2.083891515 2.042366351 2.064973986 2.031053477 2.050649534 2.106389843 2.07881725 2.05427778 2.11349835 2.049280611 2.050649534 2.114280833 2.106787926 2.093858169 2.10519333 2.07539961 2.068914491 2.113889773 2.099564073 2.077965477 2.123559329 2.036277655 2.056079931 2.123941553 2.102388141 2.112321897 2.109168539 2.089319671 2.093858169 2.148077383 2.092625281 2.124704971 2.142992985 2.064533819 2.08136213 2.138955273 2.151314361 2.137847422 2.116230718 2.119717993 2.113106563 2.161231844 2.120103698 2.137847422 2.167488974 2.115451844 2.115451844 2.153102192 2.190344444 2.156301668 2.131139173 2.153102192 2.158773808 2.166798195 2.182080588 2.156301668 2.182414166 2.146268447 2.109564002 2.191978616 2.184742092 2.123941553 2.131514639 2.076684529 2.088904622 2.130387246 2.099159078 2.110353816 2.132264578 2.08136213 2.074110693 2.138955273 2.135623052 2.121643016 2.113889773 2.099564073 2.129633986 2.179402721 2.138217025 2.131889773 2.19165227 2.122026973 2.121643016 2.183413372 2.175354748 2.171952371 2.164371738 2.142992985 2.161581852 2.232467447 2.165413316 2.193281573 2.181078317 2.123559329 2.155592727 2.201976644 2.173996997 2.165759952 2.157362895 2.149519056 2.159828968 2.221926109 2.149159091 2.161931575 2.190671767 2.146268447 2.146268447 2.181078317 2.192956197 2.170241119 2.134133665 2.145179409 2.139323919 2.184742092 2.179402721 2.175015708 2.190998846 2.167488974 2.130763375 2.184742092 2.206733887 2.174336834 2.153458868 2.157716056 2.16610631 2.193606707 2.190016875 2.180073734 2.202613924 2.159828968 2.128123451 2.219787477 2.21299801 2.174676404 2.170241119 2.157009443 2.152030387 2.216405768 2.190016875 2.16471921 2.211128095 2.157716056 2.142261687 2.217946111 2.208622484 2.188046291 2.170241119 2.154882617 2.179738357 2.215788126 2.195875912 2.181412664 2.227980299 2.156655701 2.164023986 2.216097055 2.196199127 2.192630579 2.204837157 2.170583911 2.189032694 2.243346493 2.18274749 2.209250223 2.231275289 2.168178653 2.181412664
Box-Cox transformation parameter
FALSE
1
-2.0
-1.9
-1.8
-1.7
-1.6
-1.5
-1.4
-1.3
-1.2
-1.1
-1.0
-0.9
-0.8
-0.7
-0.6
-0.5
-0.4
-0.3
-0.2
-0.1
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
2.0
Degree (d) of non-seasonal differencing
0.2
0
1
2
Degree (D) of seasonal differencing
1
0
1
2
Seasonal Period
1
1
2
3
4
12
Chart options
R Code
par1 <- as.numeric(par1) par2 <- as.numeric(par2) par3 <- as.numeric(par3) par4 <- as.numeric(par4) if (par1 == 0) { x <- log(x) } else { x <- (x ^ par1 - 1) / par1 } if (par2 > 0) x <- diff(x,lag=1,difference=par2) if (par3 > 0) x <- diff(x,lag=par4,difference=par3) bitmap(file='test1.png') r <- spectrum(x,main='Raw Periodogram') dev.off() bitmap(file='test2.png') cpgram(x,main='Cumulative Periodogram') dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Raw Periodogram',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Parameter',header=TRUE) a<-table.element(a,'Value',header=TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Box-Cox transformation parameter (lambda)',header=TRUE) a<-table.element(a,par1) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Degree of non-seasonal differencing (d)',header=TRUE) a<-table.element(a,par2) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Degree of seasonal differencing (D)',header=TRUE) a<-table.element(a,par3) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Seasonal Period (s)',header=TRUE) a<-table.element(a,par4) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Frequency (Period)',header=TRUE) a<-table.element(a,'Spectrum',header=TRUE) a<-table.row.end(a) for (i in 1:length(r$freq)) { a<-table.row.start(a) mylab <- round(r$freq[i],4) mylab <- paste(mylab,' (',sep='') mylab <- paste(mylab,round(1/r$freq[i],4),sep='') mylab <- paste(mylab,')',sep='') a<-table.element(a,mylab,header=TRUE) a<-table.element(a,round(r$spec[i],6)) a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable.tab')
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Raw Output
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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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