Workshop Bodo Winter 2019: 1 - Introduction to linear modeling with R (1/2)
Introduction to linear modeling with R
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Introduction to linear modeling with R
Linear models II + GLM intro (inferential stats with regression, interactions, logistic regression, Poisson regression)
Linear models II + GLM intro (inferential stats with regression, interactions, logistic regression, Poisson regression)
Linear models II + GLM intro (inferential stats with regression, interactions, logistic regression, Poisson regression)
Introduction to linear modeling with R
Mixed model intro (the independence assumption, fixed vs. random effects, random intercepts vs. random slopes, intercept/slope correlations, lme4 syntax)
Mixed model intro (the independence assumption, fixed vs. random effects, random intercepts vs. random slopes, intercept/slope correlations, lme4 syntax)
Mixed models II (afex package, mixed logistic regression exercise, dealing with convergence issues, rationale and philosophy for making decisions about what model to fit)
Mixed models II (afex package, mixed logistic regression exercise, dealing with convergence issues, rationale and philosophy for making decisions about what model to fit)