Make tidy data for use in deconvolution plots — make_deconv_pred_obs

Produces data with varied deconvolution performance metrics.

Usage

make_deconv_pred_obs_data(
  dat,
  true_values_col,
  predicted_cols,
  sample_id_col,
  group_col
)

dat: data.frame with predictions as columns, each row should be a prediction for a given sample and given group/celltype
true_values_col: A string with the name of the column with the true values in `dat`. true values should be between 0 and 1.
predicted_cols: A vector of strings with the name of the columns with the predictions for different methods in `dat`. predictions should be between 0 and 1
sample_id_col: A string with the name of the column with the sample name or ID in `dat`.
group_col: A string with the name of the column containing the cell types or groups in `dat`. group col should be a factor, otherwise the function will make it a factor

tibble with tidied up deconvolution performance data in nested fields