plot_trajectories: Plot individual trajectories

In milanwiedemann/lcstools: Univariate and Bivariate Latent Change Score Modelling

Plot individual trajectories

Description

Plot individual trajectories

Usage

plot_trajectories(
  data,
  id_var,
  var_list,
  line_colour = "blue",
  group_var = NULL,
  point_colour = "black",
  line_alpha = 0.2,
  point_alpha = 0.2,
  point_size = 1,
  smooth = FALSE,
  smooth_method = "loess",
  smooth_se = FALSE,
  xlab = "X",
  ylab = "Y",
  scale_x_num = FALSE,
  scale_x_num_start = 1,
  random_sample_frac = 1,
  seed = 1234,
  title_n = FALSE,
  connect_missing = TRUE
)

Arguments

data	Dataset in wide format.
id_var	String, specifying id variable.
var_list	Vector, specifying variable names to be plotted in sequential order.
line_colour	String, specifying colour of lines.
group_var	String, specifying variable name of group, each group will get individual colour lines. This overwrites the line_colour argument. Also consider other options to look at trajectories like facet_wrap which may be more appropriate.
point_colour	String, specifying, colour of points.
line_alpha	Numeric, specifying alpha of lines.
point_alpha	Numeric, specifying alpha of points.
point_size	Numeric, size of point
smooth	Logical, add smoothed conditional means using geom_smooth.
smooth_method	String, specifying method to be used for calculating average line, see geom_smooth.
smooth_se	Logical, specifying whether to add standard error of average line or not.
xlab	String for x axis label.
ylab	String for y axis label.
scale_x_num	Logical, if TRUE print sequential numbers starting from 1 as x axis labels, if FALSE use variable names.
scale_x_num_start	Numeric, if scale_x_num = TRUE this is the starting value of the x axis.
random_sample_frac	The fraction of rows to select (from wide dataset), default is set to 1 (100 percent) of the sample.
seed	Set seed for random sample if random_sample_frac argument is used.
title_n	Logical, specifying whether to print title with number and percentage of cases used for the plot.
connect_missing	Logical, specifying whether to connect points by id_var across missing values.

Value

ggplot2 object

Examples

# Create plot for construct x
plot_trajectories(data = data_bi_lcsm,
                  id_var = "id", 
                  var_list = c("x1", "x2", "x3", "x4", "x5", 
                               "x6", "x7", "x8", "x9", "x10"))

# Create plot for construct y specifying some ather arguments
plot_trajectories(data = data_bi_lcsm,
                  id_var = "id", 
                  var_list = c("y1", "y2", "y3", "y4", "y5", 
                               "y6", "y7", "y8", "y9", "y10"),
                  xlab = "Time", ylab = "Y Score",
                  connect_missing = FALSE, random_sample_frac = 0.5)

milanwiedemann/lcstools documentation built on March 3, 2023, 5:14 a.m.