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Project n-dimensional measurement by aggregating across dimensions

Source: R/nd_reduce.R
measure_project.Rd

Reduces dimensionality by applying an aggregation function across one or more dimensions.

Usage

measure_project(x, along, fn = mean, na_rm = TRUE, ...)

Arguments

x

A measure_nd_tbl or measure_nd_list object.

along

Integer or character specifying which dimension(s) to aggregate across. Can use dimension numbers or names.

fn

Aggregation function. Default is mean.

na_rm

Logical. Remove NA values before aggregation? Default TRUE.

...

Additional arguments passed to fn.

Value

A measure_tbl, measure_nd_tbl, measure_list, or measure_nd_list with reduced dimensionality.

Examples

# Create 2D measurement (time x wavelength)
m2d <- new_measure_nd_tbl(
  location_1 = rep(1:5, each = 3),
  location_2 = rep(c(254, 280, 320), times = 5),
  value = rnorm(15, mean = 100),
  dim_names = c("time", "wavelength")
)

# Project across wavelength (average spectrum at each time)
time_trace <- measure_project(m2d, along = 2)

# Project across time (average time profile at each wavelength)
wavelength_profile <- measure_project(m2d, along = 1)

# Use sum instead of mean
total <- measure_project(m2d, along = 2, fn = sum)