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Full thread here: https://github.com/tidyverse/broom/issues/287 Reproducible example: is.object(freeny$y) # [1] TRUE attr(freeny$y, 'class') # [1] "ts" class(freeny$y) # [1] "ts" # ts attribute wiped by model.frame class(model.frame(y ~ ., data = freeny)$y) # [1] "numeric" attr(model.frame(y ~ ., data = freeny)$y, 'class') # NULL # but still:

my teachers doesnt understand R and I don't know how to use SAS. Anyone interested in translating my codes to test whether your SAS codes are as good as R??? I can test it on SAS codes once you have translated it .... regards:working: -- View this message in context: http://old.nabble.com/Translation-from-R-codes-to-SAS.-tp26486117p26486117.html Sent from the R help mailing list

It seems that with their specific Xen packages, Debian likes to go against the norm, and rather than calling the Xen bridging device something sensible like "xenbr0", they rename the main physical ethernet device "eth0" to "peth0" and create "eth0" as the Xen bridge (as far as I can tell, anyways). Anyone know where exactly they do this so I can reverse it?

Dear R useRs, I have a problem with nls.lm function of minpackl.lm package. I need to fit the Van Genuchten Model to a set of data of Theta and hydraulic conductivity with nls.lm function of minpack.lm package. For the first fit, the parameter estimates keep changing even after 1000 iterations (Th) and I have a following error message for fit of hydraulic conductivity (k); Reason for