Compute aggregation of Ripley's K based on Baddeley et al. (1993)

Compute aggregation of Ripley's K based on Baddeley et al. (1993)

Usage

baddeley.avg(K.vec, n.vec)

Arguments

K.vec

Vector of Ripley's K estimates across a series of images

n.vec

Vector of the number of points in each image

Value

Returns a weighted average of the Ripley's K values based on the number of points in each image

References

Baddeley et al. (1993). Analysis of a Three-Dimensional Point Pattern with Replication. Journal of the Royal Statistical Society. Series C (Applied Statistics), 42(4), 641-668.

Examples

# Generate simulated Ripley's K values, areas, and number of points
K.vec <- rnorm(3, mean = 1000, sd = 100)
n.vec <- rnorm(3, mean = 300, sd = 50)

# Compute a weighted average
baddeley.avg(K.vec, n.vec)
#> [1] 874.9542