Get n-top linear associations — .get_n_top

Currently, n-top linear associations are selected based on values of q_value (column sorted increasing) and values of rho (column sorted decreasing)

Usage

.get_n_top_asssoc(dt_assoc, n_top = 4)

Arguments

dt_assoc: data.table with the calculated linear association between DepMap and metrics outputted by calc_assoc
n_top: number of requested top linear associations

Value

a vector with name of the n-top linear associations; when n_top will be higher than number of available features - only available will be returned.

Examples

# \donttest{
Y <- matrix(seq(0.5, 2, length.out = 50), nrow = 50,
            dimnames = list(sprintf("row_%s", 1:50), "met_1"))
X <- matrix(
  withr::with_seed(42, sample(c(NA, seq(0.35, 23.5, 1.25)),
                              size = 50*20, replace = TRUE)),
  nrow = 50,
  dimnames = list(sprintf("row_%s", 1:50), sprintf("feat_%s", 1:20)))
tab_assoc <- calc_assoc(X, Y)
gDRplots:::.get_n_top_asssoc(tab_assoc)
#> [1] "feat_11" "feat_8"  "feat_15" "feat_1" 
# }