View source: R/auxiliary_visuals.R
| showClusterHeatmap | R Documentation | 
Creates heatmap based on identified clusters
showClusterHeatmap(
  gobject,
  spat_unit = NULL,
  feat_type = NULL,
  expression_values = c("normalized", "scaled", "custom"),
  feats = "all",
  genes = NULL,
  cluster_column,
  cor = c("pearson", "spearman"),
  distance = "ward.D",
  show_plot = NA,
  return_plot = NA,
  save_plot = NA,
  save_param = list(),
  default_save_name = "showClusterHeatmap",
  ...
)
| gobject | giotto object | 
| spat_unit | spatial unit (e.g. "cell") | 
| feat_type | feature type (e.g. "rna", "dna", "protein") | 
| expression_values | expression values to use (e.g. "normalized", "scaled", "custom") | 
| feats | vector of features to use, default to 'all' | 
| genes | deprecated. Replaced by  | 
| cluster_column | name of column to use for clusters (e.g. "leiden_clus") | 
| cor | correlation score to calculate distance (e.g. "pearson", "spearman") | 
| distance | distance method to use for hierarchical clustering, default to "ward.D" | 
| show_plot | show plot. TRUE or FALSE | 
| return_plot | return ggplot object. TRUE or FALSE | 
| save_plot | directly save the plot. TRUE or FALSE | 
| save_param | list of saving parameters, see  | 
| default_save_name | default save name for saving, don't change, change save_name in save_param | 
| ... | additional parameters passed to  | 
Correlation heatmap of selected clusters.
ggplot
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