Nothing
r2mlm_long_manual
to be user-facing.r2mlm_manual
and r2mlm_comp_manual
documentation to reflect changes to teachsat
dataset implemented in version 0.3.0. (#53)bargraph = FALSE
. For example, r2mlm(model, bargraph = FALSE)
. (Issue #46)clustermeancentered = TRUE
. This update changes the code to test whether the absolute value of the means are roughly zero, to address the case in which a cluster has a negative non-zero mean (that would otherwise mistakenly be assigned to clustermeancentered = TRUE
because the negative number is less than 0.0000001). (Issue #41)r2mlm_comp()
to accept optional data argument. You can now call r2mlm_comp(modelA, modelB)
or r2mlm_comp(modelA, modelB, data)
. If data is provided, the function will use that data. If data is not provided and models are hierarchically nested, the function will extract data automatically. If data is not provided and models are not hierarchically nested, the function will throw an error asking users to input data.r2mlm_manual()
documentation (#33)r2mlm()
and r2mlm_comp()
to note that models run in lme4
must be formatted with random effects at the end of the formula. (#30)Any scripts or data that you put into this service are public.
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