[R] Robust ANCOVA
Martin Maechler
maechler at stat.math.ethz.ch
Mon Mar 28 10:24:18 CEST 2016
>>>>> David Winsemius <dwinsemius at comcast.net>
>>>>> on Sun, 27 Mar 2016 19:30:31 -0700 writes:
>> On Mar 27, 2016, at 9:52 AM, HAMID REZA ASHRAFI via
>> R-help <r-help at r-project.org> wrote:
>>
>> HiI have a set of data with two independent variables, a
>> pretest (covariate) and posttest (dependent variable).Can
>> anyone help me run robust ANCOVA?If you wish I can send
>> you the data file.yours [[alternative HTML version
>> deleted]]
> https://cran.r-project.org/web/views/Robust.html
> help(pac=MASS, rlm)
> # A starting point perhaps:
> MASS::rlm( Post ~ pre +IV1 + IV2, data=yourdataframe)
> David Winsemius Alameda, CA, USA
Indeed.
Or use the more sophisticated (and somewhat more robust /
efficient) methods from package 'robustbase'
install.packages("robustbase")
require("robustbase")
fm <- lmrob(Post ~ pre +IV1 + IV2, setting = "KS2014",
data=yourdataframe)
where recent research lead to the recommendation of setting="KS2014",
which indeed maybe relevant for "ANCOVA".
Martin Maechler, ETH Zurich
(and maintainer of 'robustbase', hence "biased" !)
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