Scatter plots of observed (true) vs predicted values for deconvolution.

Produces one plot panel per number of methods with predictions. Each plot panel has one plot per cell type.

Usage

deconv_pred_obs_plot(
  deconv_df,
  true_values_col,
  predicted_cols,
  sample_id_col,
  group_col,
  axis_lims = list(x = c(0, 1), y = c(0, 1))
)

deconv_df: A data.frame with meta.data, true values and predictions for different methods as columns. Each row should be a prediction for a given sample and a given group/cell type.
true_values_col: A string with the name of the column with the true values in `deconv_df`.
predicted_cols: A vector of strings with the name of the columns with the predictions for different methods in `deconv_df`.
sample_id_col: A string with the name of the column with the sample name or ID in `deconv_df`.
group_col: A string with the name of the column containing the cell types or groups in `deconv_df`.
axis_lims: A list with two entries, `x` and `y`, defining the limits of the x and y axis of the plot.