scatterplot: Scatterplot

In jinkim3/ezr: Easy Use of R via Shiny App for Basic Analyses of Experimental Data

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,
  line_of_fit_type = "lm",
  ci_for_line_of_fit = FALSE,
  x_axis_label = NULL,
  y_axis_label = NULL,
  point_labels_size_range = c(3, 12),
  jitter_x_percent = 0,
  jitter_y_percent = 0
)

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
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_labels_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

Value

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",
annotate_stats = TRUE)

jinkim3/ezr documentation built on April 18, 2021, 3:33 a.m.