fcm object with additional slots, described below. — fcm-class" />
fcm-class.Rd
Virtual class "fcm" for a feature co-occurrence matrix The fcm class of object is a special type of fcm object with additional slots, described below.
# S4 method for fcm t(x) # S4 method for fcm,numeric Arith(e1, e2) # S4 method for numeric,fcm Arith(e1, e2) # S4 method for fcm,index,index,missing [(x, i, j, ..., drop = TRUE) # S4 method for fcm,index,index,logical [(x, i, j, ..., drop = TRUE) # S4 method for fcm,missing,missing,missing [(x, i, j, ..., drop = TRUE) # S4 method for fcm,missing,missing,logical [(x, i, j, ..., drop = TRUE) # S4 method for fcm,index,missing,missing [(x, i, j, ..., drop = TRUE) # S4 method for fcm,index,missing,logical [(x, i, j, ..., drop = TRUE) # S4 method for fcm,missing,index,missing [(x, i, j, ..., drop = TRUE) # S4 method for fcm,missing,index,logical [(x, i, j, ..., drop = TRUE)
x | the fcm object |
---|---|
e1 | first quantity in "+" operation for fcm |
e2 | second quantity in "+" operation for fcm |
i | index for features |
j | index for features |
... | additional arguments not used here |
drop | always set to |
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
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
# 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, ]#> Feature co-occurrence matrix of: 3 by 12 features. #> 3 x 12 sparse Matrix of class "fcm" #> features #> features this contains lots of stopwords no if and or but about it #> this 0 1 1 1 1 0 0 0 0 0 0 0 #> contains 0 0 1 1 1 0 0 0 0 0 0 0 #> lots 0 0 0 1 1 1 1 1 1 1 1 1fcmat[4:5, 1:5]#> Feature co-occurrence matrix of: 2 by 5 features. #> 2 x 5 sparse Matrix of class "fcm" #> features #> features this contains lots of stopwords #> of 0 0 0 0 1 #> stopwords 0 0 0 0 0