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() Getting off the GoldVarb Standard: Introducing Rbrul for mixed-effects variable rule analysis. Language and Linguistics Compass, 3(1), – /j‑Xx. Rbrul provides basic functions for statistical analyses and works on a question-answer basis: Rbrul asks a simple question, the user answers with a few keystrokes, e.g. by entering numbers or pressing Enter. For example, entering 1 whileintheMainMenu.  · The regressions reported in this section were conducted in R, rather than Rbrul, because of the added flexibility available in R for model comparison. 8. Analyses in Tables 11 to 15 conducted in R (R Core Development Team, ), using the lme4 package (Bates et al., Reference Bates, Maechler, Bolker and Walker ) with speaker and word as.


Rbrul is a variable rule program in the mold of Goldvarb (Sankoff et al., Reference Sankoff, Tagliamonte and Smith ), yet which incorporates mixed-effects modelling. The result is a model which "can still capture external effects, but only when they are strong enough to rise above the inter-speaker variation" (Johnson, Reference Johnson. having to learn to use an entirely unfamiliar platform. In this, Rbrul shares the goals of R-Varb (Paolillo b), but it offers a number of specific advantages.7 Rbrul over GoldVarb: Other Advantages GoldVarb requires its input to be in a dedicated token file, with each factor level represented by a single-character code. Rbrul can read comma- or. This article provides an overview of the diversity of Latino communities in the USA and examines how issues of ethnicity and identity have been treated in representative recent studies. The article offers suggestions for coding information about identity and ethnic orientation that will enable researchers to go beyond overly general and often contested superordinate terms. Finally, the article.


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