Line ggplot that is coloured and facetted.
ggplot_line_col_facet(data, x_var, y_var, col_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(), col_scale_drop = FALSE,
facet_scales = "fixed", facet_nrow = NULL, points = TRUE,
point_size = 1, lines = TRUE, pal = NULL, rev_pal = FALSE,
legend_ncol = 3, 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, wrap_title = 70,
wrap_subtitle = 80, wrap_x_title = 50, wrap_y_title = 50,
wrap_col_title = 25, wrap_caption = 80, isMobile = FALSE)A tibble or dataframe. Required input.
Unquoted numeric or date variable to be on the x axis. Required input.
Unquoted numeric variable to be on the y axis. Required input.
Unquoted categorical variable for lines and points to be coloured by. Required input.
Unquoted categorical variable to facet the data by. Required input.
Unquoted variable to be an additional hover variable for when used inside plotly::ggplotly(). Defaults to NULL.
Argument to adjust the format of the x scale labels.
TRUE or FALSE whether the minimum of the y scale is zero. Defaults to TRUE.
TRUE or FALSE whether to add a zero line in for when values are above and below zero. Defaults to TRUE.
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.
TRUE or FALSE of whether to drop unused levels from the legend. Defaults to FALSE.
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. Not applicable to where isMobile is TRUE.
TRUE or FALSE of whether to include points. Defaults to TRUE.
Size of points. Defaults to 1. Only applicable to where points equals TRUE.
TRUE or FALSE of whether to include lines. Defaults to TRUE.
Character vector of hex codes. Defaults to NULL, which selects the Stats NZ palette.
Reverses the palette. Defaults to FALSE.
The number of columns in the legend.
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. Not applicable where isMobile equals TRUE.
Number of characters to wrap the subtitle to. Defaults to 80. Not applicable where isMobile equals TRUE.
Number of characters to wrap the x title to. Defaults to 50. Not applicable where isMobile equals TRUE.
Number of characters to wrap the y title to. Defaults to 50. Not applicable where isMobile equals TRUE.
Number of characters to wrap the colour title to. Defaults to 25. Not applicable where isMobile equals TRUE.
Number of characters to wrap the caption to. Defaults to 80. Not applicable where isMobile equals TRUE.
Whether the plot is to be displayed on a mobile device. Defaults to FALSE. In a shinyapp, isMobile should be specified as input$isMobile.
A ggplot object.
# NOT RUN {
plot_data <- dplyr::storms %>%
dplyr::mutate(status = stringr::str_to_sentence(status)) %>%
dplyr::group_by(year, status) %>%
dplyr::summarise(wind = round(mean(wind), 2))
plot <- ggplot_line_col_facet(data = plot_data, x_var = year, y_var = wind, col_var = status,
facet_var = status)
plot
plotly::ggplotly(plot, tooltip = "text")
# }
Run the code above in your browser using DataLab