exposures_barplot: Wrapper for enhanced_barplot

Description Usage Arguments Value Examples

Description

Wrapper for enhanced_barplot

Usage

1
2
3
4
5
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

1
2
3
4
5

eilslabs/YAPSA documentation built on May 16, 2019, 1:23 a.m.