re[R-sig-finance] commended books
You should get used to English terms not saying what they mean. However, in this instance the term can make sense if you change your picture to: xlab = "Amount Learned" ylab = "Efort and/or Frustration" Patrick Burns patrick at burns-stat.com +44 (0)20 8525 0696 http://www.burns-stat.com (home of "The R Inferno" and "A Guide for the Unwilling S User")
Bogaso wrote:
[Off-topic] ""steep"-learning curve" means what? which takes very little time to learn a lot of things? I thought steep learning curve means a curve with high slope and hence my conclusion. Can guys here please clarify that? If I am right then Stefan perhaps rightly asked a "FLAT learning curve" i.e. it takes lot of times to understand a small thing. Regards, Stefan Janse van Rensburg wrote:
Dear list, I apologise for the fact that this is somewhat off topic, but I wanted to know if the list could recommend some good books on R. My colleague is new to both statistics and R and I would like to get him something to ease the "steep"-learning curve. His knowledge of statistics is quite limited, but being a PHD in applied maths I do not want to get anything that will insult his intelligence. Is Modern Applied Statistics with S still a good bet? I used it a few years back and thought it was an excellent guide. I was, however, already proficient with R and I'm not sure how good it would be for a novice. Also, our work is mostly concerned with econometrics / time series. Apart from that, I am personally in need of a book covering state space methods in time series analysis, possibly with applications covering dynamic latent factor models. My preference would be for an applied type book, especially one using R. Any and all comments are welcome. Kind regards, Stefan Janse van Rensburg
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