RCTS (version 0.2.4)

plot_VCsquared: Plots expression(VC^2) along with the corresponding number of groups (orange), common factors (darkblue) and group factors of the first group (lightblue).

Description

Plots expression(VC^2) along with the corresponding number of groups (orange), common factors (darkblue) and group factors of the first group (lightblue).

Usage

plot_VCsquared(
  VC_squared,
  rc,
  rcj,
  C_candidates,
  S_cand,
  xlim_min = 0.001,
  xlim_max = 100,
  add_true_lines = FALSE,
  verbose = FALSE
)

Value

A ggplot object.

Arguments

VC_squared

measure of variability in the optimal configuration between the subsets

rc

dataframe containg the numer of common factors for all candidate C's and all subsamples

rcj

dataframe containg the numer of groupfactors for all candidate C's and all subsamples

C_candidates

candidates for C (parameter in PIC)

S_cand

candidate numbers for the number of groups

xlim_min

starting point of the plot

xlim_max

end point of the plot

add_true_lines

if set to TRUE, for each C the true number of groups, common factors, and group specific factors of group 1 will be added to the plot

verbose

if TRUE, more details are printed

Examples

# \donttest{
set.seed(1)
#requires filled in dataframes rc and rcj
all_best_values <- calculate_best_config(add_configuration(initialise_df_results(TRUE),
  3, 0, c(3, 3, 3, rep(NA, 17))),
  data.frame(t(1:20)), 1:20)
rc <- fill_rc(initialise_rc(0:1, 1:20), all_best_values, 0)
rc <- fill_rc(rc, all_best_values, 1)
rcj <- fill_rcj(initialise_rcj(0:1, 1:20) , all_best_values, 0, 2:4, 2:4)
rcj <- fill_rcj(rcj, all_best_values, 1, 2:4, 2:4)
plot_VCsquared(c(runif(9), 0, 0, runif(9)), rc, rcj, 1:20, 2:4)
# }