exposures_barplot {YAPSA} | R Documentation

## Wrapper for enhanced_barplot

### Description

Wrapper for enhanced_barplot

### Usage

    exposures_barplot(in_exposures_df, in_signatures_ind_df = NULL,
      in_subgroups_df = NULL, in_sum_ind = NULL,
      in_subgroups.field = "subgroup", in_title = "", in_labels = TRUE,
      in_show_subgroups = TRUE, ylab = NULL, in_barplot_borders = TRUE,
      in_column_anno_borders = FALSE)

### Arguments

`in_exposures_df` | Numerical data frame encoding the exposures `H`, i.e. which signature contributes how much to which PID (patient identifier or sample).
`in_signatures_ind_df` | A data frame containing meta information about the signatures. If NULL, the colour information for the signatures is taken from a rainbow palette.
`in_subgroups_df` | A data frame indicating which PID (patient or sample identifyier) belongs to which subgroup. If NULL, it is assumed that all PIDs belong to one common subgroup. The colour coding for the default subgroup is red.
`in_sum_ind` | Index vector influencing the order in which the PIDs are going to be displayed
`in_subgroups.field` | String indicating the column name in `in_subgroups_df` to take the subgroup information from.
`in_title` | Title for the plot to be created.
`in_labels` | Flag, if `TRUE` the PIDs are displayed on the x-axis
`in_show_subgroups` | Flag, if `TRUE` then PIDs are grouped by subgroups
`ylab` | Label of the y-axis on the plot to be generate
`in_barplot_borders` | Whether or not to show border lines in barplot
`in_column_anno_borders` | Whether or not to draw separating lines between the fields in the annotation

### Value

The generated barplot - a ggplot2 plot

### Examples

     data(lymphoma_cohort_LCD_results)
     exposures_barplot(lymphoma_Nature2013_COSMIC_cutoff_exposures_df,
                       chosen_signatures_indices_df,
                       COSMIC_subgroups_df)

[Package YAPSA version 1.12.0 Index]