linval: Breaks up the data into groups according to the user...

In hadley/linval: Explore linear models with grids of predictors.

Description

Breaks up the data into groups according to the user specified type and then plots using the geoms found in the ggplot2 package.

Usage

linval(formula, data, reduction, ...)

Arguments

formula	formula should be expressed as the model of interest in the form y ~ x1 + x2 + ...
data	input data
reduction	Either a string or a function. If a string, looks for function called paste("reduce_", reduction). Used to reduce the size of the data to make visualisation easier.
...	Other parameters passed on to reduction function.

Examples

# By quantile
d_quantiles <- linval(price ~ carat + color + clarity, data = diamonds,
  reduction = "qgrid", bins = 4)

d_evenly_spaced <- linval(formula = price ~ carat + color + clarity,
  data = diamonds, reduction = "egrid")

d_extremes <- linval(price ~ depth + table + carat + color + clarity,
  data = diamonds, reduction = "extremes")

d_user_breaks <- linval(price ~ carat + color + clarity,
  data = diamonds, reduction = "egrid",
  breaks = list(carat = c(0.4, 0.8, 3.0)))

d_as_is <- linval(price ~ carat + color + clarity,
  data = diamonds, reduction = "nothing")

hadley/linval documentation built on May 17, 2019, 10:42 a.m.