matchcases: Match cases by covariates

In egenn/rtemis: Machine Learning and Visualization

Match cases by covariates

Description

Find one or more cases from a pool data.frame that match cases in a target data.frame. Match exactly and/or by distance (sum of squared distances).

Usage

matchcases(
  target,
  pool,
  n.matches = 1,
  target.id = NULL,
  pool.id = NULL,
  exactmatch.factors = TRUE,
  exactmatch.cols = NULL,
  distmatch.cols = NULL,
  norepeats = TRUE,
  ignore.na = FALSE,
  verbose = TRUE
)

Arguments

target	data.frame you are matching against
pool	data.frame you are looking for matches from
n.matches	Integer: Number of matches to return
target.id	Character: Column name in target that holds unique cases IDs. Default = NULL, in which case integer case numbers will be used
pool.id	Character: Same as target.id for pool
exactmatch.factors	Logical: If TRUE, selected cases will have to exactly match factors available in target
exactmatch.cols	Character: Names of columns that should be matched exactly
distmatch.cols	Character: Names of columns that should be distance-matched
norepeats	Logical: If TRUE, cases in pool can only be chosen once.
ignore.na	Logical: If TRUE, ignore NA values during exact matching.
verbose	Logical: If TRUE, print messages to console. Default = TRUE

Author(s)

E.D. Gennatas

Examples

set.seed(2021)
cases <- data.frame(
  PID = paste0("PID", seq(4)),
  Sex = factor(c(1, 1, 0, 0)),
  Handedness = factor(c(1, 1, 0, 1)),
  Age = c(21, 27, 39, 24),
  Var = c(.7, .8, .9, .6),
  Varx = rnorm(4)
)
controls <- data.frame(
  CID = paste0("CID", seq(50)),
  Sex = factor(sample(c(0, 1), 50, TRUE)),
  Handedness = factor(sample(c(0, 1), 50, TRUE, c(.1, .9))),
  Age = sample(16:42, 50, TRUE),
  Var = rnorm(50),
  Vary = rnorm(50)
)

mc <- matchcases(cases, controls, 2, "PID", "CID")

egenn/rtemis documentation built on May 4, 2024, 7:40 p.m.