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Construct an RSA (Representational Similarity Analysis) model

rsa_model.Rd

This function creates an RSA model object by taking an MVPA (Multi-Variate Pattern Analysis) dataset and an RSA design.

Usage

rsa_model(dataset, design)

Arguments

dataset

An instance of an mvpa_dataset.

design

An instance of an rsa_design created by rsa_design().

Value

A list with two elements: dataset and design, with the class attribute set to "rsa_model" and "list".

Examples

# Create a random MVPA dataset
data <- matrix(rnorm(100 * 100), 100, 100)
labels <- factor(rep(1:2, each = 50))
mvpa_data <- mvpa_dataset(data, labels)
#> Error: train_data does not inherit from class NeuroVec

# Create an RSA design
dismat <- dist(data)
rdes <- rsa_design(~ dismat, list(dismat = dismat))

# Create an RSA model
rsa_mod <- rsa_model(mvpa_data, rdes)
#> Error in eval(expr, envir, enclos): object 'mvpa_data' not found