In ggobi/ggally: Extension to 'ggplot2'

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

The purpose of this vignette is to display all high-level plots available in GGally to be used in particular with ggduo() and ggpairs(). The name of all the corresponding functions are of the form ggally_*(). Most of them accept a discrete variables to be passed to the colour aesthetic.

We can distinct bivariate plots requiring two variables for x and y axis respectively and diagonal plots when the same variable is plotted on x and y axis.

library(GGally, quietly = TRUE)
data(tips)

Bivariate plots

with 2x continuous variables

ggally_autopoint()

ggally_autopoint(tips, aes(x = total_bill, y = tip))
ggally_autopoint(tips, aes(x = total_bill, y = tip, colour = time))

ggally_cor()

ggally_cor(tips, aes(x = total_bill, y = tip))
ggally_cor(tips, aes(x = total_bill, y = tip, colour = time))

See also ggally_statistic().

ggally_density()

ggally_density(tips, aes(x = total_bill, y = tip))
ggally_density(tips, aes(x = total_bill, y = tip, colour = time))

ggally_points()

ggally_points(tips, aes(x = total_bill, y = tip))
ggally_points(tips, aes(x = total_bill, y = tip, colour = time))

ggally_smooth(), ggally_smooth_lm() & ggally_smooth_loess()

ggally_smooth_lm(tips, aes(x = total_bill, y = tip))
ggally_smooth_lm(tips, aes(x = total_bill, y = tip, colour = time))

ggally_smooth_loess(tips, aes(x = total_bill, y = tip))
ggally_smooth_loess(tips, aes(x = total_bill, y = tip, colour = time))

See also ggally_smooth() for more options.

with 2x discrete variables

ggally_colbar()

ggally_colbar(tips, aes(x = day, y = smoker))

Note: the colour aesthetic is not taken into account.

ggally_autopoint()

ggally_autopoint(tips, aes(x = day, y = smoker))
ggally_autopoint(tips, aes(x = day, y = smoker, colour = time))

ggally_count()

ggally_count(tips, aes(x = day, y = smoker))
ggally_count(tips, aes(x = day, y = smoker, colour = time))

ggally_cross()

ggally_cross(tips, aes(x = day, y = smoker))
ggally_cross(tips, aes(x = day, y = smoker, colour = time))
ggally_cross(tips, aes(x = day, y = smoker, colour = smoker))

Note: colour aesthetic is taken into account only if it corresponds to x or to y.

ggally_crosstable()

ggally_crosstable(tips, aes(x = day, y = smoker))
ggally_crosstable(tips, aes(x = day, y = smoker), cells = "col.prop", fill = "std.resid")

Note: colour aesthetic is not taken into account.

ggally_facetbar()

ggally_facetbar(tips, aes(x = day, y = smoker))
ggally_facetbar(tips, aes(x = day, y = smoker, colour = time))

ggally_ratio()

ggally_ratio(tips, aes(x = day, y = smoker))
ggally_ratio(tips, aes(x = day, y = smoker, colour = time))

ggally_rowbar()

ggally_rowbar(tips, aes(x = day, y = smoker))

Note: the colour aesthetic is not taken into account.

ggally_table()

ggally_table(tips, aes(x = day, y = smoker))
ggally_table(tips, aes(x = day, y = smoker, colour = time))
ggally_table(tips, aes(x = day, y = smoker, colour = smoker))

Note: colour aesthetic is taken into account only if it corresponds to x or to y.

ggally_trends()

ggally_trends(tips, aes(x = day, y = smoker))
ggally_trends(tips, aes(x = day, y = smoker, colour = time))

with 1x continuous and 1x discrete variables

ggally_autopoint()

ggally_autopoint(tips, aes(x = total_bill, y = day))
ggally_autopoint(tips, aes(x = total_bill, y = day, colour = time))

ggally_box() & ggally_box_no_facet()

ggally_box(tips, aes(x = total_bill, y = day))
ggally_box(tips, aes(x = total_bill, y = day, colour = time))
ggally_box_no_facet(tips, aes(x = total_bill, y = day))
ggally_box_no_facet(tips, aes(x = total_bill, y = day, colour = time))

ggally_denstrip()

ggally_denstrip(tips, aes(x = total_bill, y = day))
ggally_denstrip(tips, aes(x = total_bill, y = day, colour = time))

ggally_dot() & ggally_dot_no_facet()

ggally_dot(tips, aes(x = total_bill, y = day))
ggally_dot(tips, aes(x = total_bill, y = day, colour = time))
ggally_dot_no_facet(tips, aes(x = total_bill, y = day))
ggally_dot_no_facet(tips, aes(x = total_bill, y = day, colour = time))

ggally_facetdensitystrip()

ggally_facetdensitystrip(tips, aes(x = total_bill, y = day))
ggally_facetdensitystrip(tips, aes(x = total_bill, y = day, colour = time))

ggally_facethist()

ggally_facethist(tips, aes(x = total_bill, y = day))
ggally_facethist(tips, aes(x = total_bill, y = day, colour = time))

ggally_summarise_by()

ggally_summarise_by(tips, aes(x = total_bill, y = day))
ggally_summarise_by(tips, aes(x = total_bill, y = day, colour = day))

Note: colour aesthetic is kept only if corresponding to the discrete axis.

ggally_trends()

ggally_trends(tips, aes(y = total_bill, x = day))
ggally_trends(tips, aes(y = total_bill, x = day, colour = time))

Diagonal plots

with 1x continuous variable

ggally_autopointDiag()

ggally_autopointDiag(tips, aes(x = total_bill))
ggally_autopointDiag(tips, aes(x = total_bill, colour = time))

ggally_barDiag()

ggally_barDiag(tips, aes(x = total_bill))
ggally_barDiag(tips, aes(x = total_bill, colour = time))

ggally_densityDiag()

ggally_densityDiag(tips, aes(x = total_bill))
ggally_densityDiag(tips, aes(x = total_bill, colour = time))

with 1x discrete variable

ggally_autopointDiag()

ggally_autopointDiag(tips, aes(x = day))
ggally_autopointDiag(tips, aes(x = day, colour = time))

ggally_barDiag()

ggally_barDiag(tips, aes(x = day))
ggally_barDiag(tips, aes(x = day, colour = time))

ggally_countDiag()

ggally_countDiag(tips, aes(x = day))
ggally_countDiag(tips, aes(x = day, colour = time))

ggally_densityDiag()

ggally_densityDiag(tips, aes(x = day))
ggally_densityDiag(tips, aes(x = day, colour = time))

Additional plots

• ggally_statistic() and ggally_text() to display custom text
• ggally_blank() and ggally_blankDiag() for blank plot
• ggally_na() and ggally_naDiag() to display a large NA

ggobi/ggally documentation built on May 9, 2024, 7:21 a.m.