Construct an RSA (Representational Similarity Analysis) model

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, distmethod = "spearman", regtype = "pearson")

Arguments

dataset

An instance of an mvpa_dataset.

design

An instance of an rsa_design created by rsa_design().

distmethod

A character string specifying the method used to compute distances between observations. One of: "pearson" or "spearman" (defaults to "spearman").

regtype

A character string specifying the analysis method. One of: "pearson", "spearman", "lm", or "rfit" (defaults to "pearson").

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 with default parameters
rsa_mod <- rsa_model(mvpa_data, rdes)
#> Error: object 'mvpa_data' not found

# Create an RSA model with custom parameters
rsa_mod_custom <- rsa_model(mvpa_data, rdes, distmethod = "pearson", regtype = "lm")
#> Error: object 'mvpa_data' not found