Draw an heatmap

h_map(
  mRList = NULL,
  column_ann = "class",
  data.use = c("data", "data_ann"),
  col_ann = NULL,
  col = NULL,
  scale_features = TRUE,
  features = NULL,
  samples = NULL,
  top = 200,
  use_top_annotated_metab = FALSE,
  test_method = "anova",
  test_value = "q",
  truncate_row_labels = FALSE,
  rm_outliers = FALSE,
  ...
)

Arguments

mRList: mRList object
column_ann: sample_ann column for sample annotation
data.use: whether to use mRList$data (default) or mRList$data_ann, which is the annotated version obtained via metabolite_identification
col_ann: set of colors for sample annotation
col: set of color for data values
scale_features: whether to scale features or not
features: names of features to plot (optional)
samples: samples to consider (optional)
top: only the top most variable features are plotted (if features is NULL)
use_top_annotated_metab: if TRUE, it'll use the best name for the metabolite from the annotation, considering the level and also the top significant specified in the following arguments.
test_method: the name of the statistical test table contained in the mRlist object
test_value: the column of the statistical test table to consider (e.g.: p or q)
truncate_row_labels: FALSE or a integer that specifies the number of characters to keep
rm_outliers: remove outliers when setting colours
...: further arguments for ComplexHeatmap::Heatmap