data_grid

0th

Percentile

Generate a data grid.

To visualise a model, it is very useful to be able to generate an evenly spaced grid of points from the data. data_grid helps you do this by wrapping around tidyr::expand().

Usage
data_grid(data, ..., .model = NULL)
Arguments
data

A data frame

...

Variables passed on to tidyr::expand()

.model

A model. If supplied, any predictors needed for the model not present in ... will be filled in with "typical" values.

See Also

seq_range() for generating ranges from continuous variables.

Aliases
  • data_grid
Examples
# NOT RUN {
data_grid(mtcars, vs, am)

# For continuous variables, seq_range is useful
data_grid(mtcars, mpg = seq_range(mpg, 10))

# If you optionally supply a model, missing predictors will
# be filled in with typical values
mod <- lm(mpg ~ wt + cyl + vs, data = mtcars)
data_grid(mtcars, .model = mod)
data_grid(mtcars, cyl = seq_range(cyl, 9), .model = mod)
# }
Documentation reproduced from package modelr, version 0.1.2, License: GPL-3

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