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This plot is meant to supplement the package documentation.

Usage

plot_dots(
  df,
  nrow = 10,
  ncols = 10,
  col_group = "site",
  thresh = NULL,
  color_site_a = "#BDBDBD",
  color_site_b = "#757575",
  color_site_c = "gold3",
  color_high = "#00695C",
  color_low = "#25A69A",
  size_dots = 10
)

Arguments

df

dataframe, cols = c('site', 'patients', 'n_ae')

nrow

integer, number of rows, Default: 10

ncols

integer, number of columns, Default: 10

col_group

character, grouping column, Default: 'site'

thresh

numeric, threshold to determine color of mean_ae annotation, Default: NULL

color_site_a

character, hex color value, Default: '#BDBDBD'

color_site_b

character, hex color value, Default: '#757575'

color_site_c

character, hex color value, Default: 'gold3'

color_high

character, hex color value, Default: '#00695C'

color_low

character, hex color value, Default: '#25A69A'

size_dots

integer, Default: 10

Value

ggplot object

Examples

study <- tibble::tibble(
  site = LETTERS[1:3],
  patients = c(list(seq(1, 50, 1)), list(seq(1, 40, 1)), list(seq(1, 10, 1)))
) %>%
  tidyr::unnest(patients) %>%
  dplyr::mutate(n_ae = as.integer(runif(min = 0, max = 10, n = nrow(.))))

plot_dots(study)