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Compute Similarity Between Two Objects

Source: R/all_generic.R
similarity.Rd

This function computes the similarity between two objects using a specified similarity metric.

Usage

similarity(x, y, method, ...)

Arguments

x

The first object to compare.

y

The second object to compare.

method

A character string specifying the similarity metric to be used.

...

Additional arguments passed to the similarity computation method.

Value

A numeric value representing the similarity between the two input objects.

Details

Density maps are compared cell by cell, so two maps must share a lattice: the same x and y grid coordinates, as produced by the same bounds and outdim. Comparing maps on different lattices is an error. A plain numeric y must have one value per grid cell of x.

See also

Other similarity: similarity.scanpath()

Examples

fg <- fixation_group(x = c(100, 200, 300), y = c(100, 150, 200),
                     onset = c(0, 200, 400), duration = c(200, 200, 200))
fg2 <- fixation_group(x = c(110, 190, 320), y = c(90, 160, 210),
                      onset = c(0, 200, 400), duration = c(200, 200, 200))
d1 <- eye_density(fg, sigma = 50, xbounds = c(0, 400), ybounds = c(0, 300),
                  outdim = c(40, 30))
d2 <- eye_density(fg2, sigma = 50, xbounds = c(0, 400), ybounds = c(0, 300),
                  outdim = c(40, 30))
similarity(d1, d2, method = "pearson")
#> [1] 0.9574041
similarity(d1, d2, method = "cosine")
#> [1] 0.9793084