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I have spent a fair amount of time looking for a package that is automated to run glm (binomial) regression models with all possible subsets of my independent variables. Something akin to Lumley's "leaps" package, but can be applied to glms, not just lms; or something similar to Stata's brute force "tryem" function? If anyone can point me in the right direction I

Issue: After installing vms on vmware, I noticed a difference in behavior between centos 6 vs 7. On centos 6 I cannot ping the hostname and get a reply without first resolving in the /etc/hosts file by adding a new entry: 192.168.0.47 server1.example.com. But for centos 7 I am able to ping the hostname and get a reply even when I have not made any changes to the /etc/hosts file. Why is there

On Tue, 31 Mar 2020 at 13:22, Divine Tanyingoh <dtanying at lakeheadu.ca> wrote: > Issue: After installing vms on vmware, I noticed a difference in behavior > between centos 6 vs 7. On centos 6 I cannot ping the hostname and get a > reply without first resolving in the /etc/hosts file by adding a new entry: > 192.168.0.47 server1.example.com. > &g...

Dear R community, I've been writing simple functions for the past year and half and have come across a similar problem several times. The execution of a function within my own function produces NaN's or fails to execute as intended. My conundrum is that I can execute the function outside of my function without error, so it's difficult for me, as a novice functioneer, to figure out

Dear R users, I'm a little lost on how to define pmodels for the DRC package. My goals are to produce isoboles of binary toxicity data. any tips? I really just need to know what pmodels refers to. Cheers, Pat -- View this message in context: http://r.789695.n4.nabble.com/pmodels-in-DRC-tp4190567p4190567.html Sent from the R help mailing list archive at Nabble.com.

R-Masters, I need to produce high resolution line plots and place labels on the curves. It seems that cex must be high relative to the other cex values in order to produce sufficiently large & legible tick labels at high resolutions. But high cex values cause the curve labels to become gigantic when using Hmisc. I've struggled and searched the archives, but cannot find a way of

R-Masters, I need to produce high resolution line plots, with two or more plots per page. The commands I'm using cause the tick labels to appear on the x-axis line itself rather than below it. And the tick marks are so tiny they are invisible. These commands produce the problem on my PC: png("trial.png", width=3000, height=4800, res = 600 ) # width & height purposely set

Dear useRs, I'm trying to simply fill in the area under a curve using RGL. Here' the set up: x <- c(0.75,75.75,150.75,225.75,300.75,375.75,450.75,525.75,600.75,675.75, 0.5,50.5,100.5,150.5,200.5,250.5,300.5,350.5,400.5,450.5, 0.25,25.25,50.25,75.25,100.25,125.25,150.25,175.25,200.25,225.25) y <- c(0.05,4.91,9.78,14.64,19.51,24.38,29.24,34.11,38.97,43.84,

Dear useRs, I've just encountered a serious problem involving the F-test being carried out in aov() and anova(). In the provided example, aov() is not making the correct F-test for an hypothesis involving the expected mean square (EMS) of a factor divided by the EMS of another factor (i.e., instead of the error EMS). Here is the example: Expected Mean Square