This is to all R-helpers (Sarah is just the one that I am replying to), Have we become a little too draconian on the "not a homework help list" issue?
Now if someone just states the HW question, gives no indication that they have done anything to try to solve it themselves, and expects us to give them a completed answer without effort on their part, I am happy to light up the flame thrower (and if they are my students they could very well lose points for poor questions). But I think there are cases where it is reasonable for us to help point students in the right direction (at our own discretion, but without a knee jerk "no homework" response). Some of the types of questions that we have seen on this list that I think would qualify here would include things like: I already turned in my homework after using <program other than R> that the teacher uses, but now I would like to learn how to do it in R as well, can anyone give me pointers to which help page(s) I should read to learn how to do <topic>. My teacher says we can use any program we want and I chose R, but the teacher and TA's don't know R, I have figured out most of this problem <problem statement and code tried so far>, but I can't figure out how to do this last part, any pointers? I fit this model <model info> to the HW data using <R commands> and these are the results that I see <results>, but the answer in the book while matching on some things has a different value for these coefficients <list with other numbers>. I am thinking that R must be using a different default or encoding than the book, can anyone explain the reason for the difference or give a pointer to where it is documented? And other cases where a student is clearly doing homework, but shows that they have made an effort on their own and is not demanding we do the work for them, but would rather like a pointer or hint to help them learn better. I vote that we adopt a policy (unofficial) that if a student shows effort and asks a reasonable question that we respond with answers that will help the student continue to learn (and become a better member of the R community). What do others think? On Sat, Nov 10, 2012 at 11:40 AM, Sarah Goslee <sarah.gos...@gmail.com>wrote: > This is not a homework help list. > > On Saturday, November 10, 2012, parvez_200207 wrote: > > > hi > > could you help me to solve this issue > > > > Question: > > Using command rweibull(100,8,15), simulate n = 100 realizations from > > Weibull(8; 15) distribution. Using the simulated sample, compute the > sample > > mean, variance and standard deviation of these observations. > > > > I am trying like this > > > > sim<-rweibull(100,8,15) # simulated sample > > SM<-mean(sim) # simulated sample mean > > var(sim) # variance > > sd(sim) #SD > > > > Thank you in advance. > > > > Parvez > > > > > > > > -- > > View this message in context: > > http://r.789695.n4.nabble.com/sample-mean-variance-and-SD-tp4649190.html > > Sent from the R help mailing list archive at Nabble.com. > > > > ______________________________________________ > > R-help@r-project.org <javascript:;> mailing list > > https://stat.ethz.ch/mailman/listinfo/r-help > > PLEASE do read the posting guide > > http://www.R-project.org/posting-guide.html > > and provide commented, minimal, self-contained, reproducible code. > > > > > -- > Sarah Goslee > http://www.stringpage.com > http://www.sarahgoslee.com > http://www.functionaldiversity.org > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > -- Gregory (Greg) L. Snow Ph.D. 538...@gmail.com [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
