scatterplot: Scatterplot

In kim: Behavioral Scientists' Analysis Toolkit

Description

Creates a scatter plot and calculates a correlation between two variables.

Usage

scatterplot(
  data = NULL,
  x_var_name = NULL,
  y_var_name = NULL,
  point_label_var_name = NULL,
  weight_var_name = NULL,
  alpha = 1,
  annotate_stats = FALSE,
  annotate_y_pos = 5,
  line_of_fit_type = "lm",
  ci_for_line_of_fit = FALSE,
  x_axis_label = NULL,
  y_axis_label = NULL,
  point_label_size = NULL,
  point_size_range = c(3, 12),
  jitter_x_percent = 0,
  jitter_y_percent = 0,
  cap_axis_lines = FALSE
)

Arguments

data	a data object (a data frame or a data.table)
x_var_name	name of the variable that will go on the x axis
y_var_name	name of the variable that will go on the y axis
point_label_var_name	name of the variable that will be used to label individual observations
weight_var_name	name of the variable by which to weight the individual observations for calculating correlation and plotting the line of fit
alpha	opacity of the dots (0 = completely transparent, 1 = completely opaque)
annotate_stats	if TRUE, the correlation and p-value will be annotated at the top of the plot
annotate_y_pos	position of the annotated stats, expressed as a percentage of the range of y values by which the annotated stats will be placed above the maximum value of y in the data set (default = 5). If annotate_y_pos = 5, and the minimum and maximum y values in the data set are 0 and 100, respectively, the annotated stats will be placed at 5% of the y range (100 - 0) above the maximum y value, y = 0.05 * (100 - 0) + 100 = 105.
line_of_fit_type	if line_of_fit_type = "lm", a regression line will be fit; if line_of_fit_type = "loess", a local regression line will be fit; if line_of_fit_type = "none", no line will be fit
ci_for_line_of_fit	if ci_for_line_of_fit = TRUE, confidence interval for the line of fit will be shaded
x_axis_label	alternative label for the x axis
y_axis_label	alternative label for the y axis
point_label_size	size for dots' labels on the plot. If no input is entered for this argument, it will be set as point_label_size = 5 by default. If the plot is to be weighted by some variable, this argument will be ignored, and dot sizes will be determined by the argument point_size_range
point_size_range	minimum and maximum size for dots on the plot when they are weighted
jitter_x_percent	horizontally jitter dots by a percentage of the range of x values
jitter_y_percent	vertically jitter dots by a percentage of the range of y values
cap_axis_lines	logical. Should the axis lines be capped at the outer tick marks? (default = TRUE)

Details

If a weighted correlation is to be calculated, the following package(s) must be installed prior to running the function: Package 'weights' v1.0 (or possibly a higher version) by John Pasek (2018), https://cran.r-project.org/package=weights

Value

the output will be a scatter plot, a ggplot object.

Examples

scatterplot(data = mtcars, x_var_name = "wt", y_var_name = "mpg")
scatterplot(
  data = mtcars, x_var_name = "wt", y_var_name = "mpg",
  point_label_var_name = "hp", weight_var_name = "drat",
  annotate_stats = TRUE
)
scatterplot(
  data = mtcars, x_var_name = "wt", y_var_name = "mpg",
  point_label_var_name = "hp", weight_var_name = "cyl",
  point_label_size = 7, annotate_stats = TRUE
)

kim documentation built on April 25, 2021, 1:06 a.m.