Add a smoothed condition mean with a given scatter plot.
ggally_smooth( data, mapping, ..., method = "lm", formula = y ~ x, se = TRUE, shrink = TRUE ) ggally_smooth_loess(data, mapping, ...) ggally_smooth_lm(data, mapping, ...)
data set using
aesthetics being used
parameters supplied to
other arguments to add to geom_smooth
boolean to determine if y range is reduced to range of points or points and error ribbon
Y limits are reduced to match original Y range with the goal of keeping the Y axis the same across plots.
# Small function to display plots only if it's interactive p_ <- GGally::print_if_interactive data(tips, package = "reshape") p_(ggally_smooth(tips, mapping = ggplot2::aes(x = total_bill, y = tip)))p_(ggally_smooth(tips, mapping = ggplot2::aes_string(x = "total_bill", y = "tip")))p_(ggally_smooth(tips, mapping = ggplot2::aes_string(x = "total_bill", y = "tip", color = "sex")))