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Remove redundant variables from compute_cv_means #13

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Remove redundant variables from compute_cv_means #13

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9 changes: 3 additions & 6 deletions R/compute_cv_means.R
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Original file line number Diff line number Diff line change
Expand Up @@ -169,14 +169,11 @@ compute_crossvalidated_means_sl <- function(sl_data,
} else {
# If no training data/labels for this fold, create an empty matrix with correct colnames
# This ensures consistency for later re-indexing into full_fold_means
num_unique_conds_total <- length(unique_conditions) # from outer scope
k_fold_levels <- character(0)
if (length(train_labels_fold) > 0) k_fold_levels <- levels(factor(train_labels_fold))
# If no data, it means no conditions from this fold, so 0 rows.
# The re-indexing to full_fold_means will handle this by having all NAs for this fold.
fold_means_mat <- matrix(NA_real_,
nrow = 0,
ncol = ncol(sl_data),
fold_means_mat <- matrix(NA_real_,
nrow = 0,
ncol = ncol(sl_data),
dimnames = list(NULL, colnames(sl_data)))
}

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