rlstats {relevance} | R Documentation |
Calculate relevance and significance statistics for samples or two group comparisons
rlstats(x = NULL, se = NULL, df = Inf, testlevel = NULL, steff = NULL, rlv = TRUE, rlvthres = NULL, object = NULL)
x |
estimated effect(s) |
se |
their standard errors |
df |
degrees of freedom for the t test |
testlevel |
level of the statistical test, usually 0.05 |
steff |
vector of standardized effects, or |
rlv |
logical: should relevances be calculated? |
rlvthres |
relevance threshold. May be a vector containing
a component names |
object |
a regression fit, needed in case standardized effects (coefficients) need to be calculated. |
to be described
List with components ...
Werner A. Stahel
Maintainer: Werner A. Stahel <stahel@stat.math.ethz.ch>
Stahel, Werner A. (2020). Measuring Significance and Relevance instead of p-values. In preparation.
rlstats(5, se=3, rlv=FALSE)