Plot repeated measures and autocorrelation

Plot repeated measures and averages over time, and autocorrelation between those measures calculated with acf(). Returned ggplot objects may be further manipulated (to multiple facets, with additional layers, etc.). Data must be in long format.

Usage

plot(data, outcome, time, id, group_var)

Examples

library(ggplot2)

# Load repeated measures of adolescent tooth growth (must be of long format)
data <- read.csv("https://raw.githubusercontent.com/alejandroh3005/modelLong/main/data/ortho.csv")[-1]

# Plot the repeated measures and autocorrelation
plot_res <- modelLong::plot(
  data = data,
  outcome = "distance",
  time = "age",
  id = "Subject",
  group_var = "Sex")
#> 
#> Attaching package: ‘dplyr’
#> The following objects are masked from ‘package:stats’:
#> 
#>     filter, lag
#> The following objects are masked from ‘package:base’:
#> 
#>     intersect, setdiff, setequal, union

# View repeated measures plot
plot_res$data_plot +
  # Adjust labels and x-axis
  labs(title = "Repeated measures of tooth growth") +
  xlab("Age (years)") + ylab("Distance (mm)") +
  scale_x_continuous(breaks = seq(8,18,2))


# View autocorrelation plot
plot_res$acf_plot +
  # Adjust labels
  labs(title = "Autocorrelation of tooth growth") + xlab("Age (years)")