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[RsR] error/warning messages with lmrob()

1 message · Emily Klein

Original
Emily Klein
# 
Dear all,

I am running lmrob() under the robustbase package, and I have a few
error/warning messages I would greatly appreciate help with - I am
unfamiliar with robust linear models, so my apologies in advance if the
answers here are obvious. In addition, any discussion will help me get a
handle on what we're doing, which always helps.

(1) I get the repeated error seemingly on random species when running a
loop of lmrob() over all our ecological time series (different ones almost
every time):

Error in eigen(ret, symmetric = TRUE) : infinite or missing values in 'x'

I have checked my data many times, and if I just repeatedly run lmrob() it
eventually works. Any idea what this error is in reference to? Could it be
because I am using a previous version of R (3.4.1)?

(2) I have several two error messages that come up with some time series; I
have some idea their meaning, but again, as a newbie with RLMS, I am
wondering if those time series that garner these warnings should be
excluded from our meta-analysis. Also, any additional insight on the
process or something I might be missing greatly welcomed!

Warning in lmrob.S(x, y, control = control) :
  find_scale() did not converge in 'maxit.scale' (= 200) iterations with
tol=1e-10, last rel.diff=0

Warning in lmrob.fit(x, y, control, init = init) :
  M-step did NOT converge. Returning unconverged SM-estimate

Warning in lmrob.S(x, y, control = control) :
  S-estimated scale == 0:  Probably exact fit; check your data


Thank you very much in advance,

Emily