anova_filter | R Documentation |
Simple univariate filter using anova (Welch's F-test) using the Rfast package for speed.
anova_filter( y, x, force_vars = NULL, nfilter = NULL, p_cutoff = 0.05, rsq_cutoff = NULL, type = c("index", "names", "full") )
y |
Response vector |
x |
Matrix of predictors |
force_vars |
Vector of column names within |
nfilter |
Number of predictors to return. If |
p_cutoff |
p value cut-off |
rsq_cutoff |
r^2 cutoff for removing predictors due to collinearity.
Default |
type |
Type of vector returned. Default "index" returns indices, "names" returns predictor names, "full" returns a matrix of p values. |
Integer vector of indices of filtered parameters (type = "index") or
character vector of names (type = "names") of filtered parameters. If
type
is "full"
full output from Rfast::ftests is returned.
data(iris) dt <- iris[, 1:4] y3 <- iris[, 5] anova_filter(y3, dt) # returns index of filtered predictors anova_filter(y3, dt, type = "full") # shows names of predictors anova_filter(y3, dt, type = "name") # full results table
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.