simplevis (version 1.5.0)

ggplot_vbar_facet: Vertical bar ggplot that is facetted.

Description

Vertical bar ggplot that is facetted, but not coloured.

Usage

ggplot_vbar_facet(data, x_var, y_var, facet_var, hover_var = NULL,
  x_scale_labels = waiver(), y_scale_zero = TRUE,
  y_scale_zero_line = TRUE, y_scale_trans = "identity",
  y_scale_labels = waiver(), facet_scales = "fixed",
  facet_nrow = NULL, pal = NULL, width = 0.75,
  na_grey_hover_value = "NA", na_grey = FALSE, title = "[Title]",
  subtitle = NULL, x_title = "[X title]", y_title = "[Y title]",
  caption = NULL, font_family = "Helvetica", font_size_title = NULL,
  font_size_body = NULL, wrap_title = 70, wrap_subtitle = 80,
  wrap_x_title = 50, wrap_y_title = 50, wrap_caption = 80,
  isMobile = FALSE)

Arguments

data

A tibble or dataframe. Required input.

x_var

Unquoted numeric, date or categorical variable to be on the x axis. Required input.

y_var

Unquoted numeric variable to be on the y axis. Required input.

facet_var

Unquoted categorical variable to facet the data by. Required input.

hover_var

Unquoted variable to be an additional hover variable for when used inside plotly::ggplotly(). Defaults to NULL.

x_scale_labels

Argument to adjust the format of the x scale labels.

y_scale_zero

TRUE or FALSE of whether the minimum of the y scale is zero. Defaults to TRUE.

y_scale_zero_line

TRUE or FALSE whether to add a zero line in for when values are above and below zero. Defaults to TRUE.

y_scale_trans

A string specifying a transformation for the y axis scale, such as "log10" or "sqrt". Defaults to "identity".

y_scale_labels

Argument to adjust the format of the y scale labels.

facet_scales

Whether facet_scales should be "fixed" across facets, "free" in both directions, or free in just one direction (i.e. "free_x" or "free_y"). Defaults to "fixed".

facet_nrow

The number of rows of facetted plots. Defaults to NULL, which generally chooses 2 rows. Not applicable to where isMobile is TRUE.

pal

Character vector of hex codes. Defaults to NULL, which selects the Stats NZ palette.

width

Width of bars. Defaults to 0.75.

na_grey_hover_value

Value to provide to users in the hover for any NA grey bars. Defaults to "NA".

na_grey

TRUE or FALSE of whether to provide wide grey bars for NA y_var values. Only works where facet_scales = "fixed" or "free_y". Defaults to FALSE.

title

Title string. Defaults to [Title].

subtitle

Subtitle string. Defaults to [Subtitle].

x_title

X axis title string. Defaults to [X title].

y_title

Y axis title string. Defaults to [Y title].

caption

Caption title string. Defaults to NULL.

font_family

Font family to use. Defaults NULL.

font_size_title

Font size for the title text. Defaults to 11.

font_size_body

Font size for all text other than the title. Defaults to 10.

wrap_title

Number of characters to wrap the title to. Defaults to 70. Not applicable where isMobile equals TRUE.

wrap_subtitle

Number of characters to wrap the subtitle to. Defaults to 80. Not applicable where isMobile equals TRUE.

wrap_x_title

Number of characters to wrap the x title to. Defaults to 50. Not applicable where isMobile equals TRUE.

wrap_y_title

Number of characters to wrap the y title to. Defaults to 50. Not applicable where isMobile equals TRUE.

wrap_caption

Number of characters to wrap the caption to. Defaults to 80. Not applicable where isMobile equals TRUE.

isMobile

Whether the plot is to be displayed on a mobile device. Defaults to FALSE. In a shinyapp, isMobile should be specified as input$isMobile.

Value

A ggplot object.

Examples

# NOT RUN {
plot_data <- dplyr::storms %>%
  dplyr::mutate(status = stringr::str_to_sentence(status)) %>%
  dplyr::group_by(year, status) %>%
  dplyr::summarise(average_wind = round(mean(wind), 2)) 

plot <- ggplot_vbar_facet(data = plot_data, x_var = year, y_var = average_wind,
                          facet_var = status)

plot

plotly::ggplotly(plot, tooltip = "text")
# }