plotMetaDataCellsHeatmap#

Last Updated: Sep 07, 2023

Description#

Creates heatmap for numeric cell metadata within aggregated clusters.

Usage#

plotMetaDataCellsHeatmap(
  gobject,
  spat_unit = NULL,
  feat_type = NULL,
  metadata_cols = NULL,
  spat_enr_names = NULL,
  value_cols = NULL,
  first_meta_col = NULL,
  second_meta_col = NULL,
  show_values = c("zscores", "original", "zscores_rescaled"),
  custom_cluster_order = NULL,
  clus_cor_method = "pearson",
  clus_cluster_method = "complete",
  custom_values_order = NULL,
  values_cor_method = "pearson",
  values_cluster_method = "complete",
  midpoint = 0,
  x_text_size = 8,
  x_text_angle = 45,
  y_text_size = 8,
  strip_text_size = 8,
  show_plot = NA,
  return_plot = NA,
  save_plot = NA,
  save_param = list(),
  default_save_name = "plotMetaDataCellsHeatmap"
)

Arguments#

gobject

giotto object

spat_unit

spatial unit (e.g. “cell”)

feat_type

feature type (e.g. “rna”, “dna”, “protein”)

metadata_cols

annotation columns found in pDataDT(gobject)

spat_enr_names

spatial enrichment results to include

value_cols

value columns to use

first_meta_col

if more than 1 metadata column, select the x-axis factor

second_meta_col

if more than 1 metadata column, select the facetting factor

show_values

which values to show on heatmap (e.g. “zscores”, “original”, “zscores_rescaled”)

custom_cluster_order

custom cluster order (default = NULL)

clus_cor_method

correlation method for clusters, default to “pearson”

clus_cluster_method

hierarchical cluster method for the clusters, default to “complete”

custom_values_order

custom values order (default = NULL)

values_cor_method

correlation method for values, default to “pearson”

values_cluster_method

hierarchical cluster method for the values, default to “complete”

midpoint

midpoint of show_values

x_text_size

size of x-axis text

x_text_angle

angle of x-axis text

y_text_size

size of y-axis text

strip_text_size

size of strip text

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 showSaveParameters

default_save_name

default save name for saving, don’t change, change save_name in save_param

Details#

Creates heatmap for the average values of selected value columns in the different annotation groups.

Value#

ggplot or data.table

See Also#

plotMetaDataHeatmap for gene expression instead of numeric cell annotation data.