Heatmap of relative abundance — abundance_heatmap

This function create a heatmap to visualize the relative abundance of ASV's, features o bacterial groups.

abundance_heatmap_plot(
  table,
  metadata,
  condition1 = NULL,
  condition2 = NULL,
  condition3 = NULL,
  colors_condition1 = NULL,
  colors_condition2 = NULL,
  colors_condition3 = NULL,
  name_legend_condition1 = NULL,
  name_legend_condition2 = NULL,
  name_legend_condition3 = NULL,
  top_n,
  cluster = TRUE,
  show_column_names = TRUE
)

Arguments

table: Data frame with taxonomy, where, the columns are the samples and rows are ASV's or taxa.
metadata: Data frame of characteristics or important information of the samples
condition1: Variable of the first horizontal annotation
condition2: Variable of the second horizontal annotation
condition3: Variable of the third horizontal annotation
colors_condition1: Color vector for condition 1
colors_condition2: Color vector for condition 2
colors_condition3: Color vector for condition 3
name_legend_condition1: Title assigned to legend of condition 1
name_legend_condition2: Title assigned to legend of condition 2
name_legend_condition3: Title assigned to legend of condition 3
top_n: Number of features to plot.
cluster: Logical indicating whether to cluster rows (TRUE) or order by abundance (FALSE)
show_column_names: Logical indicating whether to show column names (TRUE) or not (FALSE)

Value

A plot with the fifty (XX) taxonomic groups most abundant.

Examples

abundance_heatmap_plot(table = table_taxonomy, 
                       metadata = metadata.gestacion.recto,
                       condition1 = "poblacion",
                       condition2 = "temporada",
                       condition3 = "sexo",
                       top_n = 50,
                       cluster = TRUE,
                       show_column_names = FALSE,
                       name_legend_condition1 = "Altitude",
                       name_legend_condition2 = "Season",
                       name_legend_condition3 = "Sex",
                       colors_condition1 = c("#676778","#D9D9C2"),
                       colors_condition2 = c("#0E6251", "#1B5E20"),
                       colors_condition3 = c("#5D3277","#AF6502"))
#> Error: object 'table_taxonomy' not found