Plot ACF and repeated measures

Creates two GGPlot objects to visualize (1) repeated measures over time, with the option to color observations by group; and (2) the autocorrelation function (ACF). The data argument must be in long format. The generated plot of the data may be further manipulated (to multiple facets, with additional layers, etc.).

Usage

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

Examples

data <- read.csv(
  "https://raw.githubusercontent.com/alejandroh3005/longitudinal-data/main/data/cdc-birthwt.csv")
data$"Low weight" <- as.factor(ifelse(data$bweight < 1200, 1, 0))
plot_res <- plot(data = data,
                 outcome = "bweight",
                 time = "mage",
                 id = "mid",
                 col_group = "Low weight")
#> 
#> 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
plot_res$data_plot

plot_res$acf_plot