aggregate: Aggregate data based on given grouping.

Description Usage Arguments Value Examples

Description

aggregate aggregates data based on the specified aggregation method.

Usage

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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

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population <- tibble::data_frame(
   Metadata_group = c("control", "control", "control", "control",
                      "experiment", "experiment", "experiment",
                      "experiment"),
   Metadata_batch = c("a", "a", "b", "b", "a", "a", "b", "b"),
   AreaShape_Area = c(10, 12, 15, 16, 8, 8, 7, 7)
 )
variables <- c("AreaShape_Area")
strata <- c("Metadata_group", "Metadata_batch")
aggregate(population, variables, strata, operation = "mean")

CellProfiler/cytominr documentation built on May 6, 2019, 9:29 a.m.