Description Usage Arguments Details Note See Also
Uses lmer
to fit a random-intercepts only model, and then uses
mcmcsamp
to obtain p-values (one-factor design only).
1 | fitlmer.mcmc(mcr.data, wsbi, nmcmc = 10000)
|
mcr.data |
A dataframe formatted as described in |
wsbi |
Whether the design is between-items (TRUE) or within-items
(FALSE); has no effect because the model is random-intercepts only, but was
included for consistency with |
nmcmc |
Number of Markov-Chain Monte Carlo simulations (default = 10000). |
Tries to fit the most complex model requested, and if that fails to
converge, then tries progressively simpler models, before calculating mcmc
p-value. If no model converges, returns NAs. The MCMC procedure is based
on Baayen's pvals.fnc
in package languageR
.
This function no longer works and will throw an error, as the mcmcsamp
function was removed starting with lme4
package 1.0; see mcmcsamp
for details.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.