spathialStatistics: Correlation

In spathial: Evolutionary Analysis

Description

Get how much the features correlate with the path

Usage

spathialStatistics(spathial_res)

Arguments

spathial_res

principal path from the starting point to the ending point

Value

A list of objects

• correlations: Pearson's correlation coefficients between ea ch feature and the path (when ppath_perturbed is not NULL, a Fisher-integrated correlation coefficient is provided)

• ranks: ranks of associations between the n features and the path (when ppath_perturbed is not NULL, the mean of the ranks is provided)

• p_values: p values from the Pearson’s correlation scores

• p_adj: p values adjusted according to the Benjamini & Hochberg (BH) method

Examples

# Load data matrix X
load(system.file('extdata','X.rda',package='spathial',mustWork=TRUE))
# Load description vector X_labels
load(system.file('extdata','X_labels.rda',package='spathial',mustWork=TRUE))
# Run spathialBoundary
boundaryRes <- spathialBoundaryIds(X, X_labels, mode=2, from=3, to=6)
X <- boundaryRes$X
X_labels <- boundaryRes$X_labels
boundary_ids <- boundaryRes$boundary_ids
#Set the number of waypoints
NC <- 20
# Run spathialWay
spathial_res <- spathialWay(X, boundary_ids, NC)
#Run spathialStatistics with spathial_res
statistics <- spathialStatistics(spathial_res)

spathial documentation built on April 14, 2020, 6:41 p.m.