Save iteration plots in PDF file

Usage

save_clustering_iterations(
  sessions,
  k,
  filename,
  it = 12,
  seeds = round(runif(it, min = 1, max = 1000)),
  plot_scale = 2,
  points_size = 0.25,
  mclust_tol = 1e-08,
  mclust_itmax = 10000,
  log = FALSE,
  start = getOption("evprof.start.hour")
)

Arguments

sessions: tibble, sessions data set in evprof standard format.
k: number of clusters
filename: string defining the PDF output file path (with extension .pdf)
it: number of iterations
seeds: seed for each iteration
plot_scale: scale of each iteration plot for a good visualization in pdf file
points_size: integer, size of points in the scatter plot
mclust_tol: tolerance parameter for clustering
mclust_itmax: maximum number of iterations
log: logical, whether to transform ConnectionStartDateTime and ConnectionHours variables to natural logarithmic scale (base = exp(1)).
start: integer, start hour in the x axis of the plot.

Value

nothing, but a PDF file is saved in the path specified by parameter filename

Examples

# \donttest{
temp_file <- file.path(tempdir(), "iteration.pdf")
save_clustering_iterations(california_ev_sessions, k = 2, it = 4, filename = temp_file)
#> Optimal seed: 935 with BIC = -271194
# }