Virtual class "fcm" for a feature co-occurrence matrix

Description

The fcm class of object is a special type of fcm object with additional slots, described below.

Usage

## S4 method for signature 'fcm'
t(x)

## S4 method for signature 'fcm,numeric'
Arith(e1, e2)

## S4 method for signature 'numeric,fcm'
Arith(e1, e2)

## S4 method for signature 'fcm,index,index,missing'
x[i, j, ..., drop = TRUE]

## S4 method for signature 'fcm,index,index,logical'
x[i, j, ..., drop = TRUE]

## S4 method for signature 'fcm,missing,missing,missing'
x[i, j, ..., drop = TRUE]

## S4 method for signature 'fcm,missing,missing,logical'
x[i, j, ..., drop = TRUE]

## S4 method for signature 'fcm,index,missing,missing'
x[i, j, ..., drop = TRUE]

## S4 method for signature 'fcm,index,missing,logical'
x[i, j, ..., drop = TRUE]

## S4 method for signature 'fcm,missing,index,missing'
x[i, j, ..., drop = TRUE]

## S4 method for signature 'fcm,missing,index,logical'
x[i, j, ..., drop = TRUE]

Arguments

Slots

context

the context definition

window

the size of the window, if context = "window"

count

how co-occurrences are counted

weights

context weighting for distance from target feature, equal in length to window

margin

frequencies of features in the original dfm or tokens

tri

whether the lower triangle of the symmetric V \times V matrix is recorded

ordered

whether a term appears before or after the target feature are counted separately

See Also

fcm

Examples

# fcm subsetting
fcmat <- fcm(tokens(c("this contains lots of stopwords",
                  "no if, and, or but about it: lots"),
                remove_punct = TRUE))
fcmat[1:3, ]
fcmat[4:5, 1:5]