Produce a matrix visualisation of data types computed by feature calculation function.

Usage

plot_quality_matrix(data, ignore_good_features = FALSE)

Arguments

data: a dataframe with at least 2 columns called "names" and "values"
ignore_good_features: Boolean whether to remove "good" features (i.e., successful numeric values) from the plot. Defaults to FALSE

Value

an object of class ggplot

Author

Trent Henderson

Examples

featMat <- calculate_features(data = simData, 
  id_var = "id", 
  time_var = "timepoint", 
  values_var = "values", 
  group_var = "process", 
  feature_set = "catch22",
  seed = 123)
#> No IDs removed. All value vectors good for feature extraction.
#> Running computations for catch22...
#> 
#> Calculations completed for catch22.

plot_quality_matrix(data = featMat,
  ignore_good_features = FALSE)