lcsm (version 0.3.2)

plot_trajectories: 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
)

Value

ggplot2 object

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.

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)