R/unpack_matrix_cols.R

In marginaleffects: Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests

unpack_matrix_cols <- function(x) {
    # what data types are we working with
    dcs <- sapply(x, function(x) class(x)[1])

    # do something if we have matrix columns
    if (any(mcols <- dcs == "matrix")) {
        # assume that any matrix columns are of the same number of cols
        nc <- ncol(x[mcols][[1L]])
        out <- lapply(x[mcols], as.vector)
        other <- lapply(x[!mcols], function(y, nc) rep(y, times = nc), nc = nc)
        out <- as.data.frame(out)
        other <- as.data.frame(other)
        out <- cbind(out, other)
        # put order back as it was
        out <- out[names(x)]
    } else {
        return(x)
    }

    out
}


# The content of this file was adapted from the `gratia` package
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