Problem solved! The simple '._sage_()' does the trick. It converts data from R into something that can be handled by Python or Sage.
def ndistribpts(x): return (x,r.dnorm(x,mean=100,sd=25)._sage_()) def cube(x): return (x,x*x*x) v=map(ndistribpts,range(98,103)) scatter_plot(v) Works though I'm still far from a pretty curve, but we are improving rapidly. Thank you. R. -- To post to this group, send email to sage-support@googlegroups.com To unsubscribe from this group, send email to sage-support+unsubscr...@googlegroups.com For more options, visit this group at http://groups.google.com/group/sage-support URL: http://www.sagemath.org
