View source: R/JASPScatterPlot.R
JASPScatterPlot | R Documentation |
Create a scatter plot with density
JASPScatterPlot(
x,
y,
group = NULL,
xName = NULL,
yName = NULL,
addSmooth = TRUE,
addSmoothCI = TRUE,
smoothCIValue = 0.95,
forceLinearSmooth = FALSE,
plotAbove = c("density", "histogram", "none"),
plotRight = c("density", "histogram", "none"),
colorAreaUnderDensity = TRUE,
alphaAreaUnderDensity = 0.5,
showLegend = !is.null(group),
legendTitle = NULL,
emulateGgMarginal = FALSE,
...
)
x |
x variable. |
y |
y variable. |
group |
optional grouping variable. |
xName |
name on x-axis. |
yName |
name on y-axis. |
addSmooth |
should a smoothed regression line be drawn? |
addSmoothCI |
should a confidence interval be added to the smoothed regression line? |
smoothCIValue |
a numeric in (0, 1) indicating the confidence interval. |
forceLinearSmooth |
should the regression line be linear? |
plotAbove |
type of plot above the scatter plot. |
plotRight |
type of plot right of the scatter plot. |
colorAreaUnderDensity |
Logical, should the area under the density be colored? |
alphaAreaUnderDensity |
Real in [0, 1], transparency for area under density. |
showLegend |
Should the legend be shown? |
legendTitle |
A string for the title of the legend. |
emulateGgMarginal |
Should the result be as similar as possible to |
... |
passed to |
The only change added when emulateGgMarginal = TRUE
is that ggplot2::theme(plot.margin = unit(c(0, 0, 0.25, 0.25), "cm"))
is added to the main plot
## Not run:
x <- rnorm(100)
y <- rgamma(100, 1, 1)
JASPScatterPlot(x, y, xName = "Normal", yName = expression(gamma))
JASPScatterPlot(x, y, xName = "Normal", yName = expression(gamma), forceLinearSmooth = TRUE)
JASPScatterPlot(x, y, xName = "Normal", yName = expression(gamma), forceLinearSmooth = TRUE,
smoothCIValue = .99)
JASPScatterPlot(x, y, xName = "Normal", yName = "Gamma", addSmooth = FALSE)
JASPScatterPlot(x, y, xName = "Normal", yName = "Gamma", addSmoothCI = FALSE)
JASPScatterPlot(x, y, xName = "Normal", yName = "Gamma", plotAbove = "histogram")
JASPScatterPlot(x, y, xName = "Normal", yName = "Gamma", plotAbove = "histogram",
plotRight = "histogram")
JASPScatterPlot(x, y, xName = "Normal", yName = "Gamma", plotAbove = "histogram",
plotRight = "none")
JASPScatterPlot(x, y, xName = "Normal", yName = "Gamma", plotAbove = "none",
plotRight = "none")
# we can do the same with a grouping variable
data("mtcars")
JASPScatterPlot(x = mtcars$mpg, y = mtcars$disp, group = mtcars$cyl)
JASPScatterPlot(x = mtcars$mpg, y = mtcars$disp, group = mtcars$cyl, plotAbove = "none")
JASPScatterPlot(x = mtcars$mpg, y = mtcars$disp, group = mtcars$cyl, plotRight = "none")
JASPScatterPlot(x = mtcars$mpg, y = mtcars$disp, group = mtcars$cyl, plotRight = "none",
plotAbove = "none")
JASPScatterPlot(x = mtcars$mpg, y = mtcars$disp, group = mtcars$cyl, plotAbove = "histogram",
plotRight = "histogram")
# the color scheme can be changed with the global options:
oldColor <- graphOptions("palette")
graphOptions(palette = "ggplot2")
JASPScatterPlot(x = mtcars$mpg, y = mtcars$disp, group = mtcars$cyl)
graphOptions(palette = "viridis")
JASPScatterPlot(x = mtcars$mpg, y = mtcars$disp, group = mtcars$cyl)
graphOptions(palette = "colorblind3")
JASPScatterPlot(x = mtcars$mpg, y = mtcars$disp, group = mtcars$cyl)
graphOptions(palette = "gray")
JASPScatterPlot(x = mtcars$mpg, y = mtcars$disp, group = mtcars$cyl)
graphOptions(palette = oldColor)
## NOT RUN
# spot the differences (if you find any report them to the package maintainer!)
plot <- JASPScatterPlot(x, y, xName = "Normal", yName = "Gamma", addSmooth = FALSE,
emulateGgMarginal = TRUE)
plot
# ggExtra::ggMarginal(plot$subplots[[1]])
## End(Not run)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.