gg_pt: Plots for power transformations

In ggcleveland: Implementation of Plots from Cleveland's Visualizing Data Book

Description

Returns normal QQ plots for a set of power transformations. If there are groups in the data, transformations can be applied separately to each of them.

Usage

gg_pt(
  df,
  vble,
  group = NULL,
  taus = c(-1, -0.5, -0.25, 0, 0.25, 0.5, 1),
  xlabel = "Normal quantiles",
  ylabel = paste("Transformed", quo_text(vble)),
  nrow = 2,
  ...
)

Arguments

df	dataframe
vble	numeric variable in df to be transformed
group	optional character or factor grouping variable in df. Defaults to NULL.
taus	vector of numeric values for the power transformations (0 is considered to be the log transform)
xlabel	x-axis label
ylabel	y-axis label
nrow	number of rows for facet_wrap, only applied when group is NULL.
...	parameters to be passed to stat_qq(), such as size, color, shape.

Value

a ggplot

Examples

library(dplyr)

# Without groups
fusion %>%
  filter(nv.vv == "VV") %>%
  gg_pt(time)

fusion %>%
  filter(nv.vv == "VV") %>%
  gg_pt(time, taus = c(-0.25, -0.5, -1, 0),
        xlabel = "Cuantiles normales", ylabel = "Valores transformados",
        nrow = 3, color = "red")

# With groups
gg_pt(fusion, time, nv.vv, taus = c(-0.5, -0.25, 0, 0.25, 0.5))

ggcleveland documentation built on Aug. 16, 2021, 9:07 a.m.