fcm-class {quanteda} | R Documentation |
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
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 |
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
tri
whether the lower triangle of the symmetric
V \times V
matrix is recordedordered
whether a term appears before or after the target feature are counted separately
See Also
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]
[Package quanteda version 4.3.0 Index]