compare_expousre_sets: Compare two sets of exposures by cosine distance

In YAPSA: Yet Another Package for Signature Analysis

Description

Compare two sets of exposures, stored in numerical data frames H1 and H2, by computing the row-wise cosine distance

Usage

compare_expousre_sets(in_df_small, in_df_big, in_distance = cosineDist)

Arguments

in_df_small, in_df_big	Numerical data frames H1 and H2, ideally the bigger one first, both with l rows and m1 and m2 columns, l being the number of signatures and m1 and m2 being the respective numbers of samples or patient identefier of H1 and H2
in_distance	A function which computes the distance measure, default is cosineDist

Value

A list with entries distance, hierarchy_small and hierarchy_big.

• distance: A numerical data frame with the cosine distances between the columns of H1, indexing the rows, and H2, indexing the columns

• hierarchy_small: A data frame carrying the information of ranked similarity between the signatures in H2 with the signatures in H1

• hierarchy_big: A data frame carrying the information of ranked similarity between the signatures in H1 with the signatures in H2

See Also

cosineDist

Examples

sig_1_df <- data.frame(matrix(c(1,0,0,0,0,1,0,0,0,0,1,0),ncol=3))
names(sig_1_df) <- paste0("B",seq_len(dim(sig_1_df)[2]))
sig_2_df <- data.frame(matrix(c(1,1,0,0,0,0,1,1),ncol=2))
compare_expousre_sets(sig_1_df,sig_2_df)

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