add_col_clustering: add_col_clustering

In iheatmapr: Interactive, Complex Heatmaps

add_col_clustering

Description

add_col_clustering

Usage

## S4 method for signature 'Iheatmap'
add_col_clustering(
  p,
  method = c("hclust", "kmeans", "groups"),
  name = "Col<br>Clusters",
  k = NULL,
  groups = NULL,
  clust_dist = stats::dist,
  colors = NULL,
  show_colorbar = TRUE,
  side = c("top", "bottom"),
  yname = NULL,
  xname = current_xaxis(p)
)

Arguments

p	iheatmap object
method	"hclust" or "kmeans" for hierarchical or k-means clustering, respectively
name	name of colorbar indicating cluster membership
k	number of clusters for rows, needed if order is kmeans or optional if hclust
groups	vector of group assignments
clust_dist	distance function to use for clustering if hierarchical clustering
colors	colors to use for annotation of grouping, can be RColorBrewer palette name or vector of colors
show_colorbar	show the colorbar for the heatmap indicating cluster membership
side	side of plot on which to add subplot
yname	name of yaxis
xname	name of xaxis

Value

Iheatmap-class object, which can be printed to generate an interactive graphic

Author(s)

Alicia Schep

See Also

add_row_clustering, iheatmap

Examples

mat <- matrix(rnorm(20), ncol = 5, nrow = 4)
hm <- iheatmap(mat) %>% add_col_clustering(method = "hclust", k = 2)

# Print heatmap if interactive session 
if (interactive()) hm 

iheatmapr documentation built on May 29, 2024, 8:55 a.m.