[R] How can I remove my e-mail address from R mailing List
Dear R Team, Can you please tell me how I can remove my e-mail address from the R mailing list. Kind regards, Mariam [[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.
Re: [R] lm()
Hi! I found predict() function? it seems to be works! Thanks Mari Mon, 23 Apr 2012 06:14:35 -0700 (PDT) Ð¾Ñ "stephen sefick-2 [via R]" : Rpart has a built in cross-validation proceedure.  the xerror and so on are based on a ten fold cross validation, I believe.  Read the manual for more results.  If you plot the fit with post and then look at the postscript file it should have a misclassification rate under the terminal nodes. HTH, Stephen On Mon 23 Apr 2012 02:58:37 AM CDT, Mariam wrote: > Hi, Jorge! > Help me please! I made a classification tree (rpart package) according to my > train data and set of variables. How can I validate my test data? I want to > check if the test data will classified properly by the same tree. Thanks > cheers > Maria > > > Tue, 10 Apr 2012 08:44:39 -0700 (PDT) þÃâ "Jorge I Velez [via > R]"<[hidden email]>: > > >  Hi Mariam, > > Check out the ?poly function. > > Best, > Jorge.- > > > On Tue, Apr 10, 2012 at 10:12 AM, Mariam<>  wrote: > >> People, help me please! >> How to use lm() function to defind a cofficient for 7-polinom, and what >> expression should I put in /formula/ >> >> -- >> View this message in context: >> http://r.789695.n4.nabble.com/lm-tp4545740p4545740.html >> Sent from the R help mailing list archive at Nabble.com. >> >> __ >> [hidden email] 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. >> > à  à  à  à  [[alternative HTML version deleted]] > > __ > [hidden email] 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. > > > > -- > > > If you reply to this email, your message will be added to the discussion > below: http://r.789695.n4.nabble.com/lm-tp4545740p4546022.html >  To unsubscribe from lm(), click here. >  NAML > > > -- > View this message in context: > http://r.789695.n4.nabble.com/lm-tp4545740p4579717.html > Sent from the R help mailing list archive at Nabble.com. > [[alternative HTML version deleted]] > > > > __ > [hidden email] 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. -- Stephen Sefick ** Auburn University Biological Sciences 331 Funchess Hall Auburn, Alabama 36849 ** [hidden email] http://www.auburn.edu/~sas0025 ** Let's not spend our time and resources thinking about things that are so little or so large that all they really do for us is puff us up and make us feel like gods.  We are mammals, and have not exhausted the annoying little problems of being mammals.                 -K. Mullis "A big computer, a complex algorithm and a long time does not equal science."                -Robert Gentleman __ [hidden email] 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. -- If you reply to this email, your message will be added to the discussion below: http://r.789695.n4.nabble.com/lm-tp4545740p4580359.html To unsubscribe from lm(), click here. NAML -- View this message in context: http://r.789695.n4.nabble.com/lm-tp4545740p4582712.html Sent from the R help mailing list archive at Nabble.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.
Re: [R] lm()
Hi, Jorge! Help me please! I made a classification tree (rpart package) according to my train data and set of variables. How can I validate my test data? I want to check if the test data will classified properly by the same tree. Thanks cheers Maria Tue, 10 Apr 2012 08:44:39 -0700 (PDT) Ð¾Ñ "Jorge I Velez [via R]" : Hi Mariam, Check out the ?poly function. Best, Jorge.- On Tue, Apr 10, 2012 at 10:12 AM, Mariam <> wrote: > People, help me please! > How to use lm() function to defind a cofficient for 7-polinom, and what > expression should I put in /formula/ > > -- > View this message in context: > http://r.789695.n4.nabble.com/lm-tp4545740p4545740.html > Sent from the R help mailing list archive at Nabble.com. > > __ > [hidden email] 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. >     [[alternative HTML version deleted]] __ [hidden email] 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. -- If you reply to this email, your message will be added to the discussion below: http://r.789695.n4.nabble.com/lm-tp4545740p4546022.html To unsubscribe from lm(), click here. NAML -- View this message in context: http://r.789695.n4.nabble.com/lm-tp4545740p4579717.html Sent from the R help mailing list archive at Nabble.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.
[R] lm()
People, help me please! How to use lm() function to defind a cofficient for 7-polinom, and what expression should I put in /formula/ -- View this message in context: http://r.789695.n4.nabble.com/lm-tp4545740p4545740.html Sent from the R help mailing list archive at Nabble.com. __ 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.
[R] gradient
Hello In matlab we have " gradient(F,h) " where h is a scalar uses h as the spacing between points in each direction. Now I need to use this function in R. and I dont know how can I should define my function that I haave "h" in R? thanks [[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.
[R] tm.plugin.sentiment
Hello, Can you please, as a matter of urgency, tell me which R version support tm.plugin.sentiment and how I can install the package in R studio. I use window 7. Thanks. [[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.
[R] I need help with the mean equation in rgarch package
Dear R users, I hope this email finds you well, My name is Mariam and I am currently using R in my thesis project. I is about modeling investors' sentiment. My R skills are very modest and I am trying to solve a Garch in mean equation using the "rgarch" package. The main issue I am facing is with the mean equation, and I need a code for it or a lead on how to edit already existing functions. My mean equation looks like the this: Return = alpha + C1*Variance - (C3 + C4*Variance)*pastReturn - (C5 + C6*Variance)*pastReturn + error ; (C3 and C4 if pastReturn > 0, C5 and C6 if pastReturn<0) The variance is modeled following a GARCH or eGARCH process, but this can be done using the rgarch library. Thank you so much for your consideration and help. I hope to hear from you soon Best Regards, Mariam. __ 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.
[R] je veux me sésinscrir!!!!!!!!!!!help
[[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.
