View source: R/summary_functions.R
RAB | R Documentation |
Computes the relative absolute bias given the bias estimates for multiple estimators.
RAB(x, percent = FALSE, unname = FALSE)
x |
a |
percent |
logical; change returned result to percentage by multiplying by 100? Default is FALSE |
unname |
logical; apply |
returns a vector
of absolute bias ratios indicating the relative bias
effects compared to the first estimator. Values less than 1 indicate better bias estimates
than the first estimator, while values greater than 1 indicate worse bias than the first estimator
Phil Chalmers rphilip.chalmers@gmail.com
Chalmers, R. P., & Adkins, M. C. (2020). Writing Effective and Reliable Monte Carlo Simulations
with the SimDesign Package. The Quantitative Methods for Psychology, 16
(4), 248-280.
\Sexpr[results=rd]{tools:::Rd_expr_doi("10.20982/tqmp.16.4.p248")}
Sigal, M. J., & Chalmers, R. P. (2016). Play it again: Teaching statistics with Monte
Carlo simulation. Journal of Statistics Education, 24
(3), 136-156.
\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/10691898.2016.1246953")}
pop <- 1
samp1 <- rnorm(5000, 1)
bias1 <- bias(samp1, pop)
samp2 <- rnorm(5000, 1)
bias2 <- bias(samp2, pop)
RAB(c(bias1, bias2))
RAB(c(bias1, bias2), percent = TRUE) # as a percentage
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