For histogram number j, you get the following PHYSICA variables: variable name type description ------------------------------------------------------------------------ ID1[j] vector histogram identifier NBINS[j] vector number of bins HSTART[j] vector starting index HXLO[j] vector xmin HXINC[j] vector bin size HLO[j] vector underflow HHI[j] vector overflow STRTHT[j] vector starting index for title LENHT[j] vector length of title
For scatterplot number j, you get the following PHYSICA variables: variable name type description ------------------------------------------------------------------------ ID2[j] vector scatterplot identifier NSBINX[j] vector number of bins in x NSBINY[j] vector number of bins in y ISCAT[j] vector index of first bin SXLO[j] vector x minimum SXINC[j] vector x increment SYLO[j] vector y minimum SYINC[j] vector y increment OUTSID[1:8,j] matrix underflows and overflows STRTST[j] vector starting index for title LENST[j] vector length of title
Additional Information on:
To plot histogram n: label\xaxis htitle[strtht[n]:strtht[n]+lenht[n]-1] scalar\dummy j graph\hist loop(hxlo[n]+(j-0.5)*hxinc[n],j,1:nbins[n]) - data[hstart[n]:hstart[n]+nbins[n]-1]
To plot scatterplot n, using the diffusion type of density plot: label\xaxis stitle[strtst[n]:strtst[n]+lenst[n]-1] scalar\dummy j x = loop(sxlo[n]+(j-0.5)*sxinc[n],j,1:nsbinx[n]) y = loop(sylo[n]+(j-0.5)*syinc[n],j,1:nsbiny[n]) m = fold(data[iscat[n]:iscat[n]+nsbinx[n]*nsbiny[n]-1],nsbinx[n]) density\profiles\diffusion x y <-m ! <- is the transpose operator