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Handles missing values in MEA datasets using various imputation strategies or removal methods.
handle_missing_values(data, value_column, method, verbose)
Data frame with missing values handled according to specified method
Data frame containing MEA data
Character string specifying the column with values to process
Character string specifying handling method: "remove", "impute_mean", "impute_zero"
Logical indicating whether to print progress messages
test_data <- data.frame( ID = 1:10, Value = c(1.2, NA, 3.4, 2.1, NA, 5.6, 4.3, NA, 2.8, 3.9) ) cleaned <- handle_missing_values(test_data, "Value", "remove", FALSE)
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