Notice
Workshop Bodo Winter 2019: 1 - Introduction to linear modeling with R (2/2)
- document 1 document 2 document 3
- niveau 1 niveau 2 niveau 3
Descriptif
Introduction to linear modeling with R
(tidyverse, R Markdown, multiple regression, categorical predictors, contrast coding schemes, centering & standardizing covariates, collinearity)
Thème
Dans la même collection
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Workshop Bodo Winter 2019: 4 - Mixed models II (3/3)
WinterBodoMixed models II (afex package, mixed logistic regression exercise, dealing with convergence issues, rationale and philosophy for making decisions about what model to fit)
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Workshop Bodo Winter 2019: 4 - Mixed models II (2/3)
WinterBodoMixed models II (afex package, mixed logistic regression exercise, dealing with convergence issues, rationale and philosophy for making decisions about what model to fit)
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Workshop Bodo Winter 2019: 3 - Introduction to mixed models (2/2)
WinterBodoMixed model intro (the independence assumption, fixed vs. random effects, random intercepts vs. random slopes, intercept/slope correlations, lme4 syntax)
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Workshop Bodo Winter 2019: 3 - Introduction to mixed models (1/2)
WinterBodoMixed model intro (the independence assumption, fixed vs. random effects, random intercepts vs. random slopes, intercept/slope correlations, lme4 syntax)
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Workshop Bodo Winter 2019: 2 - Linear models II + GLM intro (3/3)
WinterBodoLinear models II + GLM intro (inferential stats with regression, interactions, logistic regression, Poisson regression)
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Workshop Bodo Winter 2019: 2 - Linear models II + GLM intro (2/3)
WinterBodoLinear models II + GLM intro (inferential stats with regression, interactions, logistic regression, Poisson regression)
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Workshop Bodo Winter 2019: 2 - Linear models II + GLM intro (1/3)
WinterBodoLinear models II + GLM intro (inferential stats with regression, interactions, logistic regression, Poisson regression)
-
Workshop Bodo Winter 2019: 1 - Introduction to linear modeling with R (1/2)
WinterBodoIntroduction to linear modeling with R
Avec les mêmes intervenants et intervenantes
-
Workshop Bodo Winter 2019: 4 - Mixed models II (3/3)
WinterBodoMixed models II (afex package, mixed logistic regression exercise, dealing with convergence issues, rationale and philosophy for making decisions about what model to fit)
-
Workshop Bodo Winter 2019: 4 - Mixed models II (2/3)
WinterBodoMixed models II (afex package, mixed logistic regression exercise, dealing with convergence issues, rationale and philosophy for making decisions about what model to fit)
-
-
Workshop Bodo Winter 2019: 3 - Introduction to mixed models (2/2)
WinterBodoMixed model intro (the independence assumption, fixed vs. random effects, random intercepts vs. random slopes, intercept/slope correlations, lme4 syntax)
-
Workshop Bodo Winter 2019: 3 - Introduction to mixed models (1/2)
WinterBodoMixed model intro (the independence assumption, fixed vs. random effects, random intercepts vs. random slopes, intercept/slope correlations, lme4 syntax)
-
Workshop Bodo Winter 2019: 2 - Linear models II + GLM intro (3/3)
WinterBodoLinear models II + GLM intro (inferential stats with regression, interactions, logistic regression, Poisson regression)
-
Workshop Bodo Winter 2019: 2 - Linear models II + GLM intro (2/3)
WinterBodoLinear models II + GLM intro (inferential stats with regression, interactions, logistic regression, Poisson regression)
-
Workshop Bodo Winter 2019: 2 - Linear models II + GLM intro (1/3)
WinterBodoLinear models II + GLM intro (inferential stats with regression, interactions, logistic regression, Poisson regression)
-
Workshop Bodo Winter 2019: 1 - Introduction to linear modeling with R (1/2)
WinterBodoIntroduction to linear modeling with R