summarizeRobWeights {robustbase} | R Documentation |
Print a nice “summary” about a numeric vector of robustness weights. Observations with weights around zero are marked as outliers.
summarizeRobWeights(w, digits = getOption("digits"), header = "Robustness weights:", eps = 0.1 / length(w), eps1 = 1e-3, ...)
w |
numeric vector of robustness weigths. |
digits |
digits to be used for print ing. |
header |
string to be printed as header line. |
eps |
numeric tolerance eps: values of w
with |w[i]| < eps/n are said to
be outliers. |
eps1 |
numeric tolerance: values of w with
|1 - w[i]| < eps1 are said to
have weight ‘~= 1 ’. |
... |
potential further arguments, passed to
print() . |
none; the function is used for its side effect of printing.
Martin Maechler
The summary
methods for lmrob
and glmrob
make use of summarizeRobWeights()
.
w <- c(1,1,1,1,0,1,1,1,1,0,1,1,.9999,.99999, .5,.6,1e-12) summarizeRobWeights(w) # two outside ~= {0,1} summarizeRobWeights(w, eps1 = 5e-5)# now three outside {0,1} ## See the summary(<lmrob>) outputs