iheatmapr (version 0.7.1)

add_col_clustering: add_col_clustering

Description

add_col_clustering

Usage

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

Value

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

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

Author

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