deconv_ranking_plot: Boxplot and rankings of deconvolution metrics for...

In CimpleG: A Method to Identify Single CpG Sites for Classification and Deconvolution

Boxplot and rankings of deconvolution metrics for deconvolution results.

Description

Produces data with varied deconvolution performance metrics. Produces one boxplot and one ranking plot with the for each metric.

Usage

deconv_ranking_plot(
  deconv_df,
  true_values_col,
  predicted_cols,
  sample_id_col,
  group_col,
  metrics = c("rmse", "r_squared", "adj.r.squared", "AIC"),
  custom_colours = NULL
)

Arguments

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'.
metrics	A list with two entries, 'x' and 'y', defining the limits of the x and y axis of the plot.
custom_colours	A named vector with colours, where the names are the values defined in 'predicted_cols'. If 'NULL', default colours will be used.

Value

list object with data and deconvolution performance plots

CimpleG documentation built on Dec. 7, 2025, 1:07 a.m.