Estimates R^2 (r-squared) values for a range of number of profiles
estimate_r_squared(df, ..., to_center = FALSE, to_scale = FALSE, distance_metric = "squared_euclidean", linkage = "complete", lower_bound = 2, upper_bound = 9, r_squared_table = TRUE)
| df | with two or more columns with continuous variables |
|---|---|
| ... | unquoted variable names separated by commas |
| to_center | (TRUE or FALSE) for whether to center the raw data with M = 0 |
| to_scale | Boolean (TRUE or FALSE) for whether to scale the raw data with SD = 1 |
| distance_metric | Distance metric to use for hierarchical clustering; "squared_euclidean" is default but more options are available (see ?hclust) |
| linkage | Linkage method to use for hierarchical clustering; "complete" is default but more options are available (see ?dist) |
| lower_bound | the smallest number of profiles in the range of number of profiles to explore; defaults to 2 |
| upper_bound | the largest number of profiles in the range of number of profiles to explore; defaults to 9 |
| r_squared_table | if TRUE (default), then a table, rather than a plot, is returned; defaults to FALSE |
A list containing a ggplot2 object and a tibble for the R^2 values
Returns ggplot2 plot of cluster centroids