Hi, I have a data with the forum a b c 8.9 0 0 7.4 1 0 4.2 0 1 2.3 1 1 Which are explanatory variables in this data? And also I want to fit logistic regression model with two explanatory variables? (I think that I should use glm, but how should I put these variables in glm)? Do I need also other functions, other than glm? Please help me. Thanks! kind regards, T. Bal [[alternative HTML version deleted]]
Hi, I want to estimate the probability within logistic regression? How can I do this (within R) ? For example; I have a data with the form. How should I estimate the probability that a has the value 4.2 and b=1 and also c=1?: a b c 8.9 0 0 7.4 1 0 4.2 0 1 2.3 1 1 Please help me, thanks! kind regards, T. Bal [[alternative HTML version deleted]]
>From the posting guide of this mailing list: Basic statistics and classroom homework: R-help is not intended for these.Ask your fellow students or your teacher. ir. Thierry Onkelinx Instituut voor natuur- en bosonderzoek / Research Institute for Nature and Forest team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance Kliniekstraat 25 1070 Anderlecht Belgium + 32 2 525 02 51 + 32 54 43 61 85 Thierry.Onkelinx at inbo.be www.inbo.be To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination: he may be able to say what the experiment died of. ~ Sir Ronald Aylmer Fisher The plural of anecdote is not data. ~ Roger Brinner The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data. ~ John Tukey -----Oorspronkelijk bericht----- Van: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] Namens T Bal Verzonden: dinsdag 8 mei 2012 8:15 Aan: r-help at r-project.org Onderwerp: [R] please help! Hi, I have a data with the forum a b c 8.9 0 0 7.4 1 0 4.2 0 1 2.3 1 1 Which are explanatory variables in this data? And also I want to fit logistic regression model with two explanatory variables? (I think that I should use glm, but how should I put these variables in glm)? Do I need also other functions, other than glm? Please help me. Thanks! kind regards, T. Bal [[alternative HTML version deleted]] ______________________________________________ R-help at 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. * * * * * * * * * * * * * D I S C L A I M E R * * * * * * * * * * * * * Dit bericht en eventuele bijlagen geven enkel de visie van de schrijver weer en binden het INBO onder geen enkel beding, zolang dit bericht niet bevestigd is door een geldig ondertekend document. The views expressed in this message and any annex are purely those of the writer and may not be regarded as stating an official position of INBO, as long as the message is not confirmed by a duly signed document.
I don't know if we can figure that out... I would figure out what these data are, and then read the relevant help files, ?glm, and literature associated with linear modeling. HTH, Stephen On 05/08/2012 01:15 AM, T Bal wrote:> Hi, > > I have a data with the forum > > a b c > 8.9 0 0 > 7.4 1 0 > 4.2 0 1 > 2.3 1 1 > > > Which are explanatory variables in this data? > > And also I want to fit logistic regression model with two explanatory > variables? (I think that I should use glm, but how should I put these > variables in glm)? > > Do I need also other functions, other than glm? Please help me. Thanks! > > kind regards, > T. Bal > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at 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.-- Stephen Sefick ************************************************** Auburn University Biological Sciences 331 Funchess Hall Auburn, Alabama 36849 ************************************************** sas0025 at auburn.edu 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