plot_hetset: Visualize 'hetset' Object
In ZytoHMGU/hetset: Identification of Heterogeneous Subsets in Data

Description Usage Arguments Details Author(s) Examples

The result of scan_hetset run is visualized. Histogram, scatterplot or matrix of scatterplots of pairwise selected features are chosen according to the number of the selected features.

1	plot_hetset(H, plot_in = "no_file", file_name = "hetset_plot_temp")

`H`	`SummarizedExperiment` object as returned by `scan_hetset`
`plot_in`	Argument indicating an output device other than monitor. Possible obptions are `png`, `svg` and `pdf`, `png`
`file_name`	If the figure is plotted to a file, this `character` will be the name.

The set of selected features as returned by scan_hetset is visualized in a histogram, scatterplot or array of scatterplots according to the number of selected features (of 1, 2 or more than 2 respectively). If more than 10 features have been selected, the set is printed to console.

The samples are colored with respect to the partitioning indicated in sample data prt. Other coloring can be set by the color_type metadata field of the data container. raw sets all sample color to gray, when indiv is set to a column name of the sample data in H, the samples are colore according to the corresponding entry in the sample data.

Daniel Samaga

data("TCGA_HNSCC_expr")
Hds <- censor_data(H)
Hds1 <- scan_hetset(H = Hds,min_size = 1,max_size = 1)
plot_hetset(Hds1)

Hds2 <- scan_hetset(H = Hds,min_size = 2,max_size = 2)
plot_hetset(Hds2)

Hds3 <- scan_hetset(H = Hds,min_size = 3,max_size = 3)
plot_hetset(Hds3)

Hds <- scan_hetset(H = Hds3,min_size = 3,max_size = 6)
plot_hetset(Hds)