Vertical bar ggplot that is coloured and facetted.
ggplot_vbar_col_facet(data, x_var, y_var, col_var, facet_var,
tip_var = NULL, x_labels = waiver(), x_pretty_n = 5,
x_expand = NULL, y_zero = TRUE, y_zero_line = NULL,
y_trans = "identity", y_labels = waiver(), y_pretty_n = 5,
y_expand = NULL, y_balance = FALSE, position = "stack",
facet_scales = "fixed", facet_nrow = NULL, pal = NULL,
pal_rev = FALSE, legend_ncol = 3, width = 0.75,
title = "[Title]", subtitle = NULL, x_title = "[X title]",
y_title = "[Y title]", col_title = "", caption = NULL,
legend_labels = NULL, font_family = "Helvetica",
font_size_title = NULL, font_size_body = NULL, title_wrap = 70,
subtitle_wrap = 80, x_title_wrap = 50, y_title_wrap = 50,
wrap_col_title = 25, caption_wrap = 80)A tibble or dataframe. Required input.
Unquoted numeric, date or categorical variable to be on the x axis. Required input.
Unquoted numeric variable to be on the y axis. Required input.
Unquoted categorical variable to colour the bars. Required input.
Unquoted categorical variable to facet the data by. Required input.
Unquoted variable to be used as a customised tooltip in combination with plotly::ggplotly(plot). Defaults to NULL.
Argument to adjust the format of the x scale labels.
The desired number of intervals on the x axis, as calculated by the pretty algorithm. Defaults to 5.
A vector of range expansion constants used to add some padding on the x scale.
TRUE or FALSE of whether the minimum of the y scale is zero. Defaults to TRUE.
TRUE or FALSE whether to add a zero reference line to the y axis. Defaults to NULL, which is TRUE if there are positive and negative values in y_var. Otherwise it is FALSE.
A string specifying a transformation for the y axis scale, such as "log10" or "sqrt". Defaults to "identity".
Argument to adjust the format of the y scale labels.
The desired number of intervals on the y axis, as calculated by the pretty algorithm. Defaults to 5.
A vector of range expansion constants used to add some padding on the y scale.
Add balance to the y axis so that zero is in the centre of the y scale. Only applicable where facet_scales equals "fixed" or "free_x".
Whether bars are positioned by "stack" or "dodge". Defaults to "stack".
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".
The number of rows of facetted plots. Defaults to NULL, which generally chooses 2 rows.
Character vector of hex codes. Defaults to NULL, which selects a default palette.
Reverses the palette. Defaults to FALSE.
The number of columns in the legend.
Width of bars. Defaults to 0.75.
Title string. Defaults to [Title].
Subtitle string. Defaults to [Subtitle].
X axis title string. Defaults to [X title].
Y axis title string. Defaults to [Y title].
Colour title string for the legend. Defaults to NULL.
Caption title string. Defaults to NULL.
A vector of manual legend label values. Defaults to NULL, which results in automatic labels.
Font family to use. Defaults to "Helvetica".
Font size for the title text. Defaults to 11.
Font size for all text other than the title. Defaults to 10.
Number of characters to wrap the title to. Defaults to 70.
Number of characters to wrap the subtitle to. Defaults to 80.
Number of characters to wrap the x title to. Defaults to 50.
Number of characters to wrap the y title to. Defaults to 50.
Number of characters to wrap the colour title to. Defaults to 25.
Number of characters to wrap the caption to. Defaults to 80.
A ggplot object.
# NOT RUN {
library(dplyr)
plot_data <- storms %>%
mutate(status = stringr::str_to_sentence(status)) %>%
group_by(year, status, name) %>%
summarise(average_wind = round(mean(wind), 2)) %>%
filter(year %in% 1975:1980) %>%
filter(!(status == "Tropical storm" & year == 1980)) %>%
filter(name %in% c("Karl", "Juliet", "Jeanne", "Ivan", "Hermine",
"Henri", "Gloria", "Georges", "Frederic"))
ggplot_vbar_col_facet(plot_data, year, average_wind, name, status)
# }
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