mutate_for_lmer: Prepare for 'glmer'
In kleinschmidt/phonetic-sup-unsup: Supervised/unsupervised adaptation analysis
Description
Set center, scale, and set contrasts for lmer modeling. Variables are
created both for shift-as-continuous predictor (bvotCond.s) and shift-
as-categorical (bvotCond, Helmert Coding). Likewise for supervision
(supervised and supCond).
Usage
1
mutate_for_lmer(.data)
Arguments
.data
Parsed data frame, with at least columns for vot, trial,
bvotCond, and supCond (e.g., 'data(supunsup)')
kleinschmidt/phonetic-sup-unsup documentation built on May 20, 2019, 12:33 p.m.
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Description
Set center, scale, and set contrasts for lmer modeling. Variables are created both for shift-as-continuous predictor (bvotCond.s) and shift- as-categorical (bvotCond, Helmert Coding). Likewise for supervision (supervised and supCond).
Usage
1 | mutate_for_lmer(.data)
|
Arguments
.data |
Parsed data frame, with at least columns for vot, trial, bvotCond, and supCond (e.g., 'data(supunsup)') |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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