View source: R/misc_mle_core.R
summarize_results | R Documentation |
Summarize simulation study in results table
summarize_results(
data,
vars = "final.theta",
rules = c("oracle", "default", "within1SE", "optimalEFP"),
comp = c(4, 3),
NE = list(400, 800),
NL = list(c(400, 800)),
alpha = 0.01,
digits = 3
)
data |
data.frame, containing simulation results |
vars |
character, list of variables to report |
rules |
character vector, selection rules to investigate |
comp |
numeric of length 2, which two selection rules should be compared (delta = rules[comp[1]] - rules[comp[2]]) |
NE |
list, each element is a numeric vector hinting which evaluation sample sizes (n.eval) are considered |
NL |
list, each element is a numeric vector hinting which learning sample sizes (n.learn) are considered |
alpha |
numeric, significance level of t-test in comparison |
digits |
numeric, to which degree should results be rounded |
data.frame with aggregated results
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