Scatter ggplot that is coloured, but not facetted.
ggplot_scatter_col(data, x_var, y_var, col_var, hover_var = NULL,
col_method = NULL, col_title = "", quantile_cuts = NULL,
bin_cuts = NULL, size = 1, pal = NULL, rev_pal = FALSE,
remove_na = FALSE, x_scale_zero = TRUE, x_scale_zero_line = TRUE,
x_scale_trans = "identity", 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, legend_ncol = 3, legend_digits = 1,
title = "[Title]", subtitle = NULL, x_title = "[X title]",
y_title = "[Y 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)An ungrouped summarised tibble or dataframe. Required input.
Unquoted numeric variable to be on the x axis. Required input.
Unquoted numeric variable to be on the y axis. Required input.
Unquoted variable for points to be coloured by. Required input.
Unquoted variable to be an additional hover variable for when used inside plotly::ggplotly(). Defaults to NULL.
The method of colouring features, either "bin", "quantile" or "category." If numeric, defaults to "quantile".
Colour title string for the legend. Defaults to NULL.
A vector of probability cuts applicable where col_method of "quantile" is selected. The first number in the vector should 0 and the final number 1. Defaults to quartiles.
A vector of bin cuts applicable where col_method of "bin" is selected. The first number in the vector should be either -Inf or 0, and the final number Inf. If NULL, 'pretty' breaks are used.
Size of points. Defaults to 1.
Character vector of hex codes. Defaults to NULL, which selects the Stats NZ palette or viridis.
Reverses the palette. Defaults to FALSE.
TRUE or FALSE of whether to remove NAs of the colour variable. Defaults to FALSE.
TRUE or FALSE whether the minimum of the x 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 x scale. Defaults to "identity".
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 scale. 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.
The number of columns in the legend.
Select the appropriate number of decimal places for numeric variable auto legend labels. Defaults to 1.
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]".
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::sample_frac(ggplot2::diamonds, 0.05)
plot <- ggplot_scatter_col(data = plot_data, x_var = carat, y_var = price, col_var = color)
plot
plotly::ggplotly(plot, tooltip = "text")
# }
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