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Plot Basic Transformations of Predictor Variables for GAM Modelling
plot_transformations.Rd
This function generates diagnostic plots to visualise the distribution of predictor variables and the effects of basic transformations (square root and log transformations) on these variables. It creates scatter plots and histograms for the raw, square root, and log-transformed data. The function is useful for exploring the suitability of different transformations before fitting a Generalized Additive Model (GAM).
Examples
if (FALSE) { # \dontrun{
# Assuming 'dat' is a data frame containing the predictor variables and 'opcode' or 'sample' column
plot_transformations(pred.vars = c("var1", "var2"), dat = dat)
} # }