cut_breaks_as_intervals: Wrapper for cut

In YAPSA: Yet Another Package for Signature Analysis

Description

In this wrapper function for the known cut function, the breaks vector need not be supplied directly, instead, for every break, an interval is supplied and the function optimizes the choice of the breakpoint by chosing a local minimum of the distribution.

Usage

cut_breaks_as_intervals(
  in_vector,
  in_outlier_cutoffs = c(0, 3000),
  in_cutoff_ranges_list = list(c(60, 69), c(25, 32)),
  in_labels = c("late", "intermediate", "early"),
  in_name = "",
  output_path = NULL
)

Arguments

in_vector	Vector of numerical continuously distributed input
in_outlier_cutoffs	Interval specifyinf the upper and lower bounds of the range to be considered
in_cutoff_ranges_list	List if intervals in which the cutoffs for cut have to be optimized.
in_labels	Labels assigned to the strata or factors returned
in_name	String specifying the name of the quantity analyzed (and plotted on the x-axis of the figure to be created).
output_path	Path where the figure produced by the density function should be stored if non-NULL.

Value

A list with entries category_vector, and density_plot and cutoffs

• category_vector: Factor vector of the categories or strata, of the same length as in_vector

• density_plot: Density plot produced by the density function and indication of the chosen cutoffs.

• cutoffs: Vector of the computed optimal cutoffs

See Also

cut

density

Examples

 data(lymphoma_test)
 lymphoma_test_df$random_norm <- rnorm(dim(lymphoma_test_df)[1])
 temp_list <- cut_breaks_as_intervals(
   lymphoma_test_df$random_norm,
   in_outlier_cutoffs=c(-4,4),
   in_cutoff_ranges_list=list(c(-2.5,-1.5),c(0.5,1.5)),
   in_labels=c("small","intermediate","big"))
  temp_list$density_plot

YAPSA documentation built on Nov. 8, 2020, 4:59 p.m.