Identical to stats::p.adjust
, but includes method = "oleson"
p_adjust(p, method = "oleson", n = length(p), alpha = 0.05, df, rho, cores = 0)
Returns a vector of adjusted p-values just as in p.adjust
, but
with additional attributes for alphastar and rho.
numeric vector of p-values (possibly with NAs).
correction method, a character string. Can be any of the methods in
p.adjust.methods, with the additional value method = "oleson"
number of comparisons, must be at least length(p)
; only set this
(to non-default) when you know what you are doing!
adjustment to be made with method oleson
degrees of freedom, if using method = "oleson"
AR1 correlation coefficient, if using method = "oleson"
number of cores for use in parallel, only valid for
method = "oleson"
. Default is zero, using half of the available cores
This function works identically to the function p.adjust
, with
the additional option to use method = "oleson"
. For this option, user
must include a value for df
, alpha
. If method = "oleson"
and
no value is given for rho
, 0.9 will be used. To compute a value for rho
from t-statistics, use ar1Solver
.
ar1Solver