Create a Multiframe Object

Constructs a new multivariate design object linking vector-valued observations with arbitrary design variables. A multiframe combines experimental design metadata with lazy-evaluated observations, providing a flexible interface for data manipulation.

Usage

multiframe(x, y, ...)

Arguments

x

The multivariate data (a matrix, list, or other data container)

y

A design matrix or data frame with same number of rows/elements as x

...

Additional arguments passed to methods

Value

A multiframe object containing:

design

A tibble with design variables and observation functions

Details

A multiframe object is similar to a multidesign but with enhanced support for data frame operations. Key features include: * Lazy evaluation of observations (only loaded when needed) * Integration with tidyverse functions for data manipulation * Support for various data sources (matrices, lists, vectors) * Methods for splitting, summarizing, and transforming data

See also

multidesign for an alternative implementation, observation for the underlying observation structure, obs_group for creating groups of observations

Examples

# Create sample data
X <- matrix(rnorm(20*100), 20, 100)
Y <- tibble::tibble(condition = rep(letters[1:5], 4))

# Create multiframe object
mf <- multiframe(X, Y)

# Access first observation
obs1 <- mf$design$.obs[[1]]()

# Split by condition
split_by_cond <- split(mf, condition)

# Summarize by condition
means_by_cond <- summarize_by(mf, condition)