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This is probably simple, but I just can't see it... I want to calculate the R^2s for a series of linear models where each term is dropped in turn. I can get the RSS from drop1(), and the r.squared from summary() for a given model, but don't know how to use the result of drop1() to get the r.squared for each model with one term dropped. Working example: library(vcd) # for

...65 models were selected Best 5 models (cumulative posterior probability = 0.2022 ): p!=0 EV SD model 1 model 2 model 3 model 4 model 5 Intercept 100.0 -5.712e-01 0.6720850 -9.097e-01 -9.099e-01 -1.001e+00 1.610e-01 -1.146e+00 atbats 1.2 -7.598e-05 0.0006955 . . . . . hits 7.9 4.280e-04 0.0023605 . . . . . homers 2.3 -1.562e-04 0.0011977 . . . . . runs 0.0...

I'm trying to make correlograms using corrgram. See below for a simple example. #### library(corrgram) data(baseball) vars1 <- c("Assists","Atbat","Errors","Hits","Homer","logSal") vars2 <- c("Putouts","RBI","Runs","Walks","Years")

Dear all, I generated a Correlograms and used the panel.ellipse (confidence ellipse and smoothed line) option. Is there a way to get instead of the smoothed line the linear regression? Thanks, As hz -- View this message in context: http://r.789695.n4.nabble.com/Correlograms-and-linear-regression-tp2331071p2331071.html Sent from the R help mailing list archive at Nabble.com.

Hello Folks, I do hope this is the correct place to post (and not in R-SIG-DB). I have spent the better part of a day searching for an answer to this question, and have yet to resolve it. I am trying to query an .accdb Access database (with 32-bit Office 2007 currently residing on the machine) with 64-bit R via RODBC. There seem to be some conflicting accounts as to whether or not this is