search for: x7418

I am new on R, so I have a maybe naive question: if I have many large data.frames and I use only one or two per session, what's the best way? If all are stored in the actual .Rdata, the system gets slow. On the other hand, I wouldn't like to make a separate package for the data. Should I save it with save() and then remove it with rm() ? Could I reload it then? Thanks for suggestions

Dear All, I'am looking for examples showing that correlation does not imply causality, the targeted audience consists of undergraduate students (their first year at the university but in the BioMathStat track). All practicals are under R. I was able to extract this from R datasets: ### begin data(sunspots) data(lynx) spots <- window(sunspots, freq = 1, start = 1880, end = 1900) lnx <-

...ill be in R. Reed is a small (1100 students) liberal arts school, in Portland Or, USA. regards albyn -- -------------------------------------------------------------- http://www.reed.edu/~jones Albyn Jones jones at reed.edu Reed College, Portland OR 97202 (503)-771-1112 x7418 ----------------------------------------- I do teach a course in Econometrics using R. This is a two semester course, after another course in Mathematical Statistics. Here are my data: Prof. Agustin Alonso Royal College "Escorial-Maria Cristina" San Lorenzo del Escorial(Ma...