This is a statistics question, which is largely off topic on this list. However, I'll give you a very brief OT response:
I would strongly suggest you consult a local statistician to explain to why what you are doing is likely to result in complete nonsense (best subset of 5 or 6 from 21 predictors on 79 cases). Failing that, try asking on a statistics site, like stats.stackexchange.com. Note also: This is a plain text list. Please don't post in HTML. Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Wed, Jun 29, 2016 at 11:24 AM, D Wolf via R-help <r-help@r-project.org> wrote: > Hello All, > I am working on a linear regression model and trying to find the best subset > of variables for my dataset. I have 21 predictors, 1 response variable, and > 79 observations. I need to find the best 5 or 6 predictors for my model. I've > used leaps for lm() and I'm now trying bestglm for glm(). I'm following this > webpage, which gives the code below. > https://rstudio-pubs-static.s3.amazonaws.com/2897_9220b21cfc0c43a396ff9abf122bb351.html > My code:library(bestglm)library(base)lbw.for.bestglm <- within(df_Chl, {y <- > df_Chl$Chloro })res.bestglm <- bestglm(Xy = lbw.for.bestglm, family = > gaussian, IC = "AIC", method = "exhaustive") > # get coefficientsres.bestglm$BestModelsHere is a sample of my results (I > removed the 5th through 21st predictors for brevity).> res.bestglm$BestModels > R21 R31 R32 R41 1 FALSE FALSE FALSE FALSE 2 FALSE TRUE FALSE FALSE > 3 FALSE FALSE FALSE FALSE 4 FALSE TRUE FALSE FALSE 5 FALSE TRUE FALSE > FALSE Criterion1 326.73272 326.95253 327.06594 327.09125 327.8208 > Is it correct to assume I should keep variables that are TRUE from 1 through > 5? What do those five rows represent? > I know the AIC criterion result should be as low as possible. Is it possible > to discern a good result for any of the IC criterion results, such as AIC, > LOOCV, BICg, etc..? If BIC returns lower Criterion results, does that mean I > need to use the BIC subset instead of the subset from AIC? > Thank You, > Doug > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
