Plot a resampling object — plot.resampling • resampling

Plot a resampling object. See the Details section below for further information.

Usage

# S3 method for resampling
plot(
  x,
  ...,
  cell.width = grid::unit(10, "mm"),
  cell.height = cell.width,
  col = c("purple", "lightblue", "gray"),
  border = NA,
  rect_gp = grid::gpar(col = "white"),
  heatmap.legend.title = "type",
  strata = NULL,
  strata.col = NULL
)

Arguments

x: an object of class resampling
...: additional plot arguments
cell.width, cell.height: width and height of the cells in the heatmap
col: length-3 vector containing the colors for the heatmap
border: Whether draw border. The value can be logical or a string of color.
rect_gp: Graphic parameters for drawing rectangles (for heatmap body). The value should be specified by gpar and fill parameter is ignored.
heatmap.legend.title: character string, title of the heatmap legend
strata: (optional) vector of stratification variables
strata.col: (optional) vector of colors for the stratification variables

Value

A Heatmap-class object.

Details

This function plot the samples taken from the population as an heatmap where each row corresponds to a different sample, while the columns represent the elements in the population. The elements belong to one of the following groups:

sample: the sample taken from the population
holdout: the data not selected in the sample
removed: the data removed from the population and not considered for sampling

If the sampling technique allows for replacement, the number of repetition are shown in the cells of the heatmap.

If strata is provided, an annotation is added to the heatmap.

Examples

#check needed package
require(ComplexHeatmap, quietly = TRUE)
#> ========================================
#> ComplexHeatmap version 2.14.0
#> Bioconductor page: http://bioconductor.org/packages/ComplexHeatmap/
#> Github page: https://github.com/jokergoo/ComplexHeatmap
#> Documentation: http://jokergoo.github.io/ComplexHeatmap-reference
#> 
#> If you use it in published research, please cite either one:
#> - Gu, Z. Complex Heatmap Visualization. iMeta 2022.
#> - Gu, Z. Complex heatmaps reveal patterns and correlations in multidimensional 
#>     genomic data. Bioinformatics 2016.
#> 
#> 
#> The new InteractiveComplexHeatmap package can directly export static 
#> complex heatmaps into an interactive Shiny app with zero effort. Have a try!
#> 
#> This message can be suppressed by:
#>   suppressPackageStartupMessages(library(ComplexHeatmap))
#> ========================================

#resampling object
x = resampling(
 method = 'rswor',
 N = 10,
 samples = list(c(1,5,7), c(6,2,9))
)

#plot
plot(x)


#plot with strata
plot(x, strata = c(rep("a", 5), rep("b", 5)))