Select Variables Based on Column Design

Subsets the columns (variables) of an object based on conditions applied to the column design metadata. This allows filtering variables by their properties (e.g., region, type, hemisphere) using dplyr-style filter expressions.

Usage

select_variables(x, ...)

# S3 method for class 'hyperdesign'
select_variables(x, ...)

# S3 method for class 'multidesign'
select_variables(x, ...)

Arguments

x

The object to select variables from (multidesign, hyperdesign, etc.)

...

Filter expressions evaluated against the column design (using dplyr::filter semantics)

Value

An object of the same class with a subset of columns/variables

See also

column_design for extracting column metadata, multidesign for creating multidesign objects

Examples

X <- matrix(rnorm(20*10), 20, 10)
Y <- data.frame(condition = rep(c("A", "B"), each=10))
col_info <- data.frame(
  region = rep(c("frontal", "parietal"), 5),
  hemisphere = rep(c("left", "right"), each=5)
)
mds <- multidesign(X, Y, col_info)

# Select only frontal variables
mds_frontal <- select_variables(mds, region == "frontal")