#' Measure Asymmetric conditioning
#' @return a dataframe
#' @inheritParams default_params_doc
#' @author Giovanni Laudanno
#' @export
plot_asymmetric_conditioning <- function(
pars,
age = 10,
saveit = TRUE
) {
n_0 <- 2
# pass Rcheck
measure <- NULL; rm(measure)
median <- NULL; rm(median)
quantile <- NULL; rm(quantile)
x <- NULL; rm(x)
full_filename <- get_full_filename(
pars = pars,
age = age
)
file <- full_filename
testit::assert(file.exists(full_filename))
load(full_filename)
df <- measure
df_pc <- df[, !grepl(pattern = "t_", x = names(df))]
meltdf <- reshape2::melt(df_pc, id = "lx")
plot <- ggplot2::ggplot(
data = meltdf,
ggplot2::aes(
x = lx,
y = value,
colour = variable,
group = variable
)
) +
ggplot2::geom_line()
plot_filename <- paste0(
"pc_plots",
".png"
)
if (saveit == TRUE) {
ggplot2::ggsave(
filename = file.path(dirname(full_filename), plot_filename),
plot = plot,
width = 10,
height = 10,
)
}
plot
}
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