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...levant timeframe... dslice<-PmatTS[(i-period):i,] #slicing past 100 days dslicets<-ts(dslice) #operating on sliced data... Pmin<-rollapply(dslicets, wind, by=wind, min, na.rm=F) #getting min data at per quintile Pmax<-rollapply(dslicets, wind, by=wind, max, na.rm=F) Pmult<-Pmin*Pmax #calculating product tt<-time(Pmult) for (j in 1:5) #1st nested loop { PmatWt[j,]<-Pmult[j,]*mult_col[j,] } #rolling regression analysis... for (k in 1:maxcol) #2nd nested loop { sel_col<-PmatWt[,k] if(!all(is.na(sel_col)...

...-fpic -std=gnu99 -O3 -pipe -g -c fdhess.c -o fdhess.o gcc -I/usr/share/R/include -fpic -std=gnu99 -O3 -pipe -g -c fdmin.c -o fdmin.o gcc -I/usr/share/R/include -fpic -std=gnu99 -O3 -pipe -g -c fdsim.c -o fdsim.o gcc -I/usr/share/R/include -fpic -std=gnu99 -O3 -pipe -g -c pmult.c -o pmult.o gcc -shared -o fracdiff.so fdcore.o fdgam.o fdhess.o fdmin.o fdsim.o pmult.o -lblas -lgfortran -lm -L/usr/lib/R/lib -lR 安装至 /home/zzk/R/i686-pc-linux-gnu-library/2.12/fracdiff/libs ** R ** preparing package for lazy loading ** help *** installing help indices ** building package indice...