aggregate: Aggregate data based on given grouping.

In CellProfiler/cytominer: Methods for Image-Based Cell Profiling

Aggregate data based on given grouping.

Description

aggregate aggregates data based on the specified aggregation method.

Usage

aggregate(
  population,
  variables,
  strata,
  operation = "mean",
  univariate = TRUE,
  ...
)

Arguments

population	tbl with grouping (metadata) and observation variables.
variables	character vector specifying observation variables.
strata	character vector specifying grouping variables for aggregation.
operation	optional character string specifying method for aggregation, e.g. "mean", "median", "mean+sd". A sequence can comprise only of univariate functions.
univariate	boolean specifying whether the aggregation function is univariate or multivariate.
...	optional arguments passed to aggregation operation

Value

aggregated data of the same class as population.

Examples

population <- tibble::tibble(
  Metadata_group = c(
    "control", "control", "control", "control",
    "experiment", "experiment", "experiment",
    "experiment"
  ),
  Metadata_batch = c("a", "a", "b", "b", "a", "a", "b", "b"),
  Area = c(10, 12, 15, 16, 8, 8, 7, 7),
  Intensity = c(3, -3, 35, -3, 3, 0, 9, -7)
)
variables <- c("Area", "Intensity")
strata <- c("Metadata_group", "Metadata_batch")
aggregate(population, variables, strata, operation = "mean")
aggregate(population, variables, strata, operation = "mean+sd")
aggregate(population, variables, strata, operation = "median")
aggregate(population, variables, strata, operation = "covariance", univariate = FALSE)

CellProfiler/cytominer documentation built on July 2, 2023, 6:19 p.m.