get_emcontrasts | R Documentation |
The get_emmeans()
function is a wrapper to facilitate the usage of
emmeans::emmeans()
and emmeans::emtrends()
, providing a somewhat simpler
and intuitive API to find the specifications and variables of interest. It is
meanly made to for the developers to facilitate the organization and
debugging, and end-users should rather use the estimate_*()
series of
functions.
get_emcontrasts( model, contrast = NULL, at = NULL, fixed = NULL, transform = "none", method = "pairwise", ... ) model_emcontrasts( model, contrast = NULL, at = NULL, fixed = NULL, transform = "none", method = "pairwise", ... ) get_emmeans( model, at = "auto", fixed = NULL, transform = "response", levels = NULL, modulate = NULL, ... ) model_emmeans( model, at = "auto", fixed = NULL, transform = "response", levels = NULL, modulate = NULL, ... ) get_emtrends( model, trend = NULL, at = NULL, fixed = NULL, levels = NULL, modulate = NULL, ... ) model_emtrends( model, trend = NULL, at = NULL, fixed = NULL, levels = NULL, modulate = NULL, ... )
model |
A statistical model. |
contrast |
A character vector indicating the name of the variable(s) for which to compute the contrasts. |
at |
The predictor variable(s) at which to evaluate the desired effect / mean / contrasts. Other predictors of the model that are not included here will be collapsed and "averaged" over (the effect will be estimated across them). |
fixed |
A character vector indicating the names of the predictors to be "fixed" (i.e., maintained), so that the estimation is made at these values. |
transform |
Is passed to the |
method |
Contrast method. See same argument in emmeans::contrast. |
... |
Other arguments passed for instance to |
levels, modulate |
Deprecated, use |
trend |
A character indicating the name of the variable for which to compute the slopes. |
if (require("emmeans", quietly = TRUE)) { # Basic usage model <- lm(Sepal.Width ~ Species, data = iris) get_emcontrasts(model) # Dealing with interactions model <- lm(Sepal.Width ~ Species * Petal.Width, data = iris) # By default: selects first factor get_emcontrasts(model) # Can also run contrasts between points of numeric get_emcontrasts(model, contrast = "Petal.Width", length = 3) # Or both get_emcontrasts(model, contrast = c("Species", "Petal.Width"), length = 2) # Or with custom specifications estimate_contrasts(model, contrast = c("Species", "Petal.Width=c(1, 2)")) # Can fixate the numeric at a specific value get_emcontrasts(model, fixed = "Petal.Width") # Or modulate it get_emcontrasts(model, at = "Petal.Width", length = 4) } model <- lm(Sepal.Length ~ Species + Petal.Width, data = iris) if (require("emmeans", quietly = TRUE)) { # By default, 'at' is set to "Species" get_emmeans(model) # Overall mean (close to 'mean(iris$Sepal.Length)') get_emmeans(model, at = NULL) # One can estimate marginal means at several values of a 'modulate' variable get_emmeans(model, at = "Petal.Width", length = 3) # Interactions model <- lm(Sepal.Width ~ Species * Petal.Length, data = iris) get_emmeans(model) get_emmeans(model, at = c("Species", "Petal.Length"), length = 2) get_emmeans(model, at = c("Species", "Petal.Length = c(1, 3, 5)"), length = 2) } if (require("emmeans")) { model <- lm(Sepal.Width ~ Species * Petal.Length, data = iris) get_emtrends(model) get_emtrends(model, at = "Species") get_emtrends(model, at = "Petal.Length") get_emtrends(model, at = c("Species", "Petal.Length")) model <- lm(Petal.Length ~ poly(Sepal.Width, 4), data = iris) get_emtrends(model) get_emtrends(model, at = "Sepal.Width") }
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