Predict from a multivariate repeated measures DI model
Usage
# S3 method for class 'DImulti'
predict(object, newdata = NULL, stacked = TRUE, ...)Arguments
- object
an object of class DImulti
- newdata
an optional dataframe containing the communities from which to predict. If data is multivariate and in a wide format, to predict from a subset of ecosystem functions, as opposed to all, please include a column for each function with any numerical value, e.g.
newdata$Y2 <- 0. If predicting from all functions, these columns may be included or left out.- stacked
a logical value used to determine whether the output is in a wide or stacked format. Defaults to TRUE, meaning output is stacked/long.
If set to FALSE, non-unique groups of unit_IDs, ecosystem function, and time points will be aggregated upon widening using the mean function, please use unique unit_IDs values through newdata to avoid aggregation.- ...
some methods for this generic function require additional arguments. None are used in this method.
Value
The predictions from the supplied fitted DI models for the provided 'newdata', or the data used to fit the model if no 'newdata' is supplied. Predictions are returned in either a stacked or wide dataframe format.
See also
predict.gls which this function wraps.