getters_linearFilter: Getters for linearFilter objects

In xnet: Two-Step Kernel Ridge Regression for Network Predictions

Description

These functions allow you to extract slots from objects of the class linearFilter.

Usage

alpha(x)

na_removed(x)

## S3 method for class 'linearFilter'
mean(x, ...)

## S4 method for signature 'linearFilter'
mean(x, ...)

## S4 method for signature 'linearFilter'
colMeans(x)

## S4 method for signature 'linearFilter'
rowMeans(x)

## S4 method for signature 'linearFilter'
alpha(x)

## S4 method for signature 'linearFilter'
na_removed(x)

Arguments

x	a linearFilter object
...	arguments passed to or from other methods.

Value

for mean: the mean of the original matrix

for colMeans: a numeric vector with the column means

for rowMeans: a numeric vector with the row means

for alpha: a numeric vector of length 4 with the alpha values.

for na_removed: a logical value indicating whether missing values were removed prior to the fitting of the filter.

Examples

data(drugtarget)
lf <- linear_filter(drugTargetInteraction, alpha = 0.25)
alpha(lf)
mean(lf)
colMeans(lf)
na_removed(lf)

xnet documentation built on Feb. 4, 2020, 9:10 a.m.