Summarize a Multidesign Object by Design Variables — summarize_by.multidesign • multidesign

Computes summaries of the data matrix grouped by combinations of design variables.

Usage

# S3 method for class 'multidesign'
summarize_by(x, ..., sfun = colMeans, extract_data = FALSE)

Arguments

x: A multidesign object
...: Unquoted names of variables to group by
sfun: Summary function to apply (default is colMeans)
extract_data: Logical; whether to extract raw data instead of computing summary

Value

A new multidesign object containing:

x: Matrix of summary statistics
design: Design information for each summary
column_design: Original column metadata

See also

split.multidesign

Other multidesign functions: multidesign(), reduce.multidesign(), split.multidesign(), split_indices.multidesign(), subset.multidesign()

Examples

X <- matrix(rnorm(100*20), 100, 20)
Y <- tibble::tibble(
  condition = rep(c("A", "B"), each=50),
  block = rep(1:2, times=50)
)
mds <- multidesign(X, Y)

# Get means by condition
means_by_cond <- summarize_by(mds, condition)

# Get means by condition and block
means_by_both <- summarize_by(mds, condition, block)