High-performance scatter plots using the scattermore package for plotting millions of points efficiently with advanced customization options.
Usage
jscattermore(
data,
x_var,
y_var,
color_var,
size_var,
plot_type = "ggplot2",
point_size = 0.5,
alpha = 0.8,
pixels = 512,
pointsize = 0,
interpolate = TRUE,
color_palette = "viridis",
show_smooth = FALSE,
smooth_method = "loess",
show_density = FALSE,
facet_var,
log_transform_x = FALSE,
log_transform_y = FALSE,
x_label = "",
y_label = "",
plot_title = "",
show_correlation = TRUE,
show_performance = FALSE,
theme_style = "default"
)Arguments
- data
The data as a data frame.
- x_var
Variable for the X-axis.
- y_var
Variable for the Y-axis.
- color_var
Variable for color mapping.
- size_var
Variable for size mapping.
- plot_type
Type of scatter plot to generate.
- point_size
Size of the points in the scatter plot.
- alpha
Transparency level of points (0 = fully transparent, 1 = opaque).
- pixels
Resolution of the raster graphics in pixels.
- pointsize
Point size for raster graphics (0 = automatic).
- interpolate
Whether to interpolate the raster graphics.
- color_palette
Color palette for continuous color mapping.
- show_smooth
Whether to add a smooth regression line.
- smooth_method
Method for smooth line fitting.
- show_density
Whether to overlay density contours.
- facet_var
Variable for creating multiple panels.
- log_transform_x
Whether to apply log transformation to X variable.
- log_transform_y
Whether to apply log transformation to Y variable.
- x_label
Custom label for X-axis.
- y_label
Custom label for Y-axis.
- plot_title
Title for the plot.
- show_correlation
Whether to display correlation coefficient.
- show_performance
Whether to display rendering performance information.
- theme_style
Visual theme for the plot.
Value
A results object containing:
results$plot | Fast scatter plot using scattermore package | ||||
results$summary | Summary statistics and performance information | ||||
results$performance | Detailed performance metrics and comparisons |
Examples
# \donttest{
# Example usage:
library(scattermore)
# Fast scatter plot
scattermoreplot(x, y)
#> Error: object 'x' not found
# ggplot2 integration
ggplot(data) + geom_scattermore(aes(x = x, y = y))
#> Error in ggplot(data): `data` cannot be a function.
#> ℹ Have you misspelled the `data` argument in `ggplot()`
# }