Extract a subset of an influence object, or extract the influence values at specified locations.

```
# S3 method for influence.ppm
[(x, i, ...)
```

x

A influence object (of class `"influence.ppm"`

)
computed by `influence.ppm`

.

i

Subset index (passed to `[.ppp`

).
Either a spatial window (object of class `"owin"`

)
or an integer index.

…

Ignored.

Another object of class `"influence.ppm"`

.

An object of class `"influence.ppm"`

contains the values of the
likelihood influence for a point process model, computed by
`influence.ppm`

. This is effectively a marked point
pattern obtained by marking each of the original data points
with its likelihood influence.

This function extracts a designated subset of the influence values, either as another influence object, or as a vector of numeric values.

The function `[.influence.ppm`

is a method for `[`

for the
class `"influence.ppm"`

. The argument `i`

should be
an index applicable to a point pattern. It may be either
a spatial window (object of class `"owin"`

)
or a sequence index.
The result will be another influence object
(of class `influence.ppm`

).

To extract the influence values as a numeric vector,
use `marks(as.ppp(x))`

.

# NOT RUN { fit <- ppm(cells, ~x) infl <- influence(fit) b <- owin(c(0.1, 0.3), c(0.2, 0.4)) infl[b] infl[1:5] marks(as.ppp(infl))[1:3] # }