v1.10.0

Minor improvements

• gamem(), gamem_met(), and waasb() now have a by argument and understand data passed from group_by.
• mtsi() and mgidi() now returns the ranks for the contribution of each factor and understand models fitted with gamem() and waasb() using the by argument.
• plot.mtsi() and plot.mgidi() now returns a radar plot by default when using type = "contribution".
• get_model_data() now returns the genotypic and phenotypic correlation matrices from objects of class waasb and gamem.
• replace_string(), replace_number(), extract_string(), and extract_number() now accepts tidy evaluation in the new ... argument.

New functions

• get_dist() to get distance matrices from objects of class clustering.
• get_corvars() to get normal, multivariate correlated variables.
• get_covmat() to obtain covariance matrix based on variances and correlation values.
• as_numeric(), as_integer(), as_logical(), as_character(), and as_factor() to coerce variables to specific formats quickly.
• n_valid(), n_missing(), and n_unique() to count valid, missing, and unique values, respectively.
• tidy_colnames() to clean up column names. It is a shortcut to tidy_strings() applied to the column names of a data frame.
• env_stratification() to perform environment stratification using factor analysis.