guideR (version 0.8.1)

plot_continuous: Plot a continuous variable by sub-groups

Description

Plot one or several continuous variables by sub-groups. See median_iqr() for more details on the way statistics are computed. Return a box plot (see examples).

Usage

plot_continuous(
  data,
  outcome,
  by = NULL,
  drop_na_by = FALSE,
  convert_continuous = TRUE,
  ...,
  show_overall = TRUE,
  overall_label = "Overall",
  show_pvalues = TRUE,
  pvalues_labeller = scales::label_pvalue(add_p = TRUE),
  pvalues_size = 3.5,
  facet_labeller = ggplot2::label_wrap_gen(width = 50, multi_line = TRUE),
  flip = FALSE,
  minimal = FALSE,
  free_scale = FALSE,
  return_data = FALSE
)

Arguments

data

A data frame, data frame extension (e.g. a tibble), or a survey design object.

outcome

<tidy-select> List of continuous variables to be plotted.

by

<tidy-select> List of variables to group by (comparison is done separately for each variable).

drop_na_by

Remove NA values in by variables?

convert_continuous

Should continuous by variables (with 5 unique values or more) be converted to quartiles (using cut_quartiles())?

...

Additional arguments passed to ggplot2::geom_boxplot().

show_overall

Display "Overall" column?

overall_label

Label for the overall column.

show_pvalues

Display p-values in the top-left corner? p-values are computed with stats::kruskal.test() for data frames, and with survey::svyranktest() for survey objects.

pvalues_labeller

Labeller function for p-values.

pvalues_size

Text size for p-values.

facet_labeller

Labeller function for strip labels.

flip

Flip x and y axis?

minimal

Should a minimal theme be applied? (no y-axis, no grid)

free_scale

Allow y axis to vary between conditions?

return_data

Return computed data instead of the plot?

Examples

iris |>
  plot_continuous(Petal.Length, by = Species)

iris |>
  plot_continuous(
    dplyr::starts_with("Petal"),
    by = Species,
    free_scale = TRUE,
    fill = "lightblue",
    outlier.color = "red"
  )

# \donttest{

mtcars |>
  plot_continuous(
    mpg,
    by = c(cyl, gear),
    flip = TRUE,
    mapping = ggplot2::aes(fill = by)
  )

# works with continuous by variables
mtcars |>
  plot_continuous(
    mpg,
    by = c(disp, drat),
    flip = TRUE,
    minimal = TRUE
  )

# works with survey object
iris |>
  srvyr::as_survey() |>
  plot_continuous(
    Petal.Length,
    by = c(Species, Petal.Width),
    flip = TRUE
  )
# }