vim.chisq {logicFS} | R Documentation |
Determining the importance of interactions found by logic.bagging
or logicFS
by Pearson's ChiSquare Statistic.
vim.chisq(object, data = NULL, cl = NULL)
object |
either an object of class logicFS or the output of an application of
logic.bagging with importance = TRUE |
data |
a data frame or matrix consisting of 0's and 1's in which each column corresponds
to one of the explanatory variables used in the original analysis with logic.bagging
or logicFS , and each row corresponds to an observation. Must be specified if
object is an object of class logicFS , or cl is specified. If
object is an object of class logicBagg and neither data nor cl
is specified, data and cl stored in object is used to compute the
ChiSquare statistics. It is, however, highly recommended to use new data to test
the interactions contained in object , as they have been found using the data
stored in object , and it is very likely that most of them will show up as interesting
if they are tested on the same data set |
cl |
a numeric vector of 0's and 1's specifying the class labels of the observations in data .
Must be specified either if object is an object of class logicFS , or if data
is specified |
Currently Pearson's ChiSquare statistic is computed without continuity correction.
Contrary to vim.logicFS
(and vim.norm
and vim.perm
),
vim.chisq
does neither take the logic regression models into acount nor uses the out-of-bag
observations for computing the importances of the identified interactions. It "just" tests each
of the found interactions on the whole data set by calculating Pearson's ChiSquare statistic for
each of these interactions. It is, therefore, highly recommended to use an independent data set
for specifying the importances of these interactions with vim.chisq
.
An object of class logicFS
containing
primes |
the prime implicants |
vim |
the values of Pearson's ChiSquare statistic |
prop |
NULL |
type |
NULL |
param |
further parameters (if object is the output of logicFS or vim.logicFS
with addInfo = TRUE ) |
mat.imp |
NULL |
measure |
"ChiSquare Based" |
threshold |
the 1 - 0.05/m quantile of the ChiSquare distribution with one degree of freedom |
mu |
NULL |
Holger Schwender, holger.schwender@udo.edu
logic.bagging
, logicFS
,
vim.logicFS
, vim.norm
, vim.ebam