generics {geva} | R Documentation |
Exhaustive list of generic methods exported from GEVA. Use findMethods
to retrieve the specific usages.
inputvalues(object) inputweights(object, normalized) inputdata(object) inputnames(object) infolist(object, field, ...) infolist(object) <- value factors(object) factors(object) <- value classification.table(object) classification.table(object) <- value analysis.params(gobject) featureTable(object) featureTable(object) <- value sv(object) svattr(S, V) elem.class(typedlist) elem.class(typedlist) <- value groupsets(object) groupsets(object) <- value groups(object) scores(object, group) centroids(object) offsets(object) sv.scores(object) qindexes(object) qareasizes(object) qcount(object) quantiles(object) quantiles.method(object) group.rels(object) cluster.method(object) results.table(gres) sv.data(object) variation(object, ...) get.summary.method(x) get.variation.method(x) get.distance.method(x) as.SVTable(x, ...)
object, x, gobject |
Primary object. See the documentation from each class for specific usages |
normalized |
|
field |
When used with a information list, returns the information entry with the corresponding name |
... |
Additional parameters. If used with an imported S3 method, passes the arguments to the default |
value |
The value to be assigned |
S |
Vector to construct the |
V |
Vector to construct the |
typedlist |
A |
group |
Character to filter the returned groups. Omit it to return all groups |
gres |
A |
See the specific usages for each method.
# Returing analysis parameters from an object gsummary <- geva.summarize(geva.ideal.example(), summary.method="mean", variation.method="sd") anpars <- analysis.params(gsummary) print(anpars) # $summary.method # [1] "mean" # $variation.method # [1] "sd"