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ggally_*(): List of available high-level plots

GGally Team

May 28, 2020

Source: vignettes/ggally_plots.Rmd
ggally_plots.Rmd

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(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))
#> `stat_bin()` using `bins = 30`. Pick better value with
#> `binwidth`.
#> Warning: Removed 45 rows containing missing values or values outside the scale
#> range (`geom_bar()`).

ggally_denstrip(tips, aes(x = total_bill, y = day, colour = time))
#> `stat_bin()` using `bins = 30`. Pick better value with
#> `binwidth`.
#> Warning: Removed 45 rows containing missing values or values outside the scale
#> range (`geom_bar()`).

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))
#> Warning: Groups with fewer than two data points have been
#> dropped.
#> Warning: Removed 1 row containing missing values or values outside the scale
#> range (`geom_line()`).

ggally_facethist() 

ggally_facethist(tips, aes(x = total_bill, y = day))
#> `stat_bin()` using `bins = 30`. Pick better value with
#> `binwidth`.

ggally_facethist(tips, aes(x = total_bill, y = day, colour = time))
#> `stat_bin()` using `bins = 30`. Pick better value with
#> `binwidth`.

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(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))
#> `stat_bin()` using `bins = 30`. Pick better value with
#> `binwidth`.

ggally_barDiag(tips, aes(x = total_bill, colour = time))
#> `stat_bin()` using `bins = 30`. Pick better value with
#> `binwidth`.

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))
#> Warning: Groups with fewer than two data points have been
#> dropped.
#> Warning in max(ids, na.rm = TRUE): no non-missing arguments to max;
#> returning -Inf

Additional plots