Skip to contents

Map Object Distances

Source: R/utils_shp.R
object_map.Rd

Computes distances between objects in an anal_obj object and returns a list of distances, coefficient of variation (CV), and means.

Usage

object_map(object, by_column = "img", direction = c("horizontal", "vertical"))

Arguments

object

An anal_obj object computed with analyze_objects_shp().

by_column

The column name in the object's results data frame to group objects by. Default is "img".

direction

The direction of mapping. Should be one of "horizontal" or "vertical". Default is "horizontal".

Value

A list with the following components:

distances

A list of distances between objects grouped by unique values in the specified column/row.

cvs

A vector of coefficient of variation (CV) values for each column/row.

means

A vector of mean distances for each column/row.

See also

analyze_objects_shp

Examples

if (interactive() && requireNamespace("EBImage")) {
library(pliman)
flax <- image_pliman("flax_leaves.jpg", plot =TRUE)
res <-
   analyze_objects_shp(flax,
                       nrow = 3,
                       ncol = 1,
                       watershed = FALSE,
                       index = "R/(G/B)",
                       plot = FALSE)
plot(res$final_image_mask)
plot(res$shapefiles)

# distance from each leave within each row
result <- object_map(res)
result$distances
result$cvs
result$means
}

#> Warning: no non-missing arguments to min; returning Inf
#> Warning: no non-missing arguments to max; returning -Inf
#> Warning: no non-missing arguments to min; returning Inf
#> Warning: no non-missing arguments to max; returning -Inf

#> Error in plot.window(...): need finite 'xlim' values