PPforest (version 0.1.1)

ternary_str: Data structure with the projected and boundary by node and class.

Description

Data structure with the projected and boundary by node and class.

Usage

ternary_str(ppf, id, sp, dx, dy)

Arguments

ppf

is a PPforest object

id

is a vector with the selected projection directions

sp

is the simplex dimensions, if k is the number of classes sp = k - 1

dx

first direction included in id

dy

second direction included in id

Value

Data frame needed to visualize a ternary plot

Examples

# NOT RUN {
#crab data set with all the observations used as training
pprf.crab <- PPforest(data = crab, std =TRUE, class = "Type",
 size.tr = 1, m = 100, size.p = .5, PPmethod = 'LDA')
 require(dplyr)
pl_ter <- function(dat, dx, dy ){
  p1  <- dat[[1]] %>% dplyr::filter(pair %in% paste(dx, dy, sep = "-") ) %>%
    dplyr::select(Class, x, y) %>%
    ggplot2::ggplot(ggplot2::aes(x, y, color = Class)) +
    ggplot2::geom_segment(data = dat[[2]], ggplot2::aes(x = x1, xend = x2,
                                               y = y1, yend = y2), color = "black" ) +
    ggplot2::geom_point(size = I(3), alpha = .5) +
    ggplot2::labs(y = " ",  x = " ") +
    ggplot2::theme(legend.position = "none", aspect.ratio = 1) +
    ggplot2::scale_colour_brewer(type = "qual", palette = "Dark2") +
    ggplot2::labs(x = paste0("T", dx, " "), y = paste0("T", dy, " ")) +
    ggplot2::theme(aspect.ratio = 1)
  p1
}
#ternary plot in tree different selected dierections
 pl_ter(ternary_str(pprf.crab, id = c(1, 2, 3), sp = 3, dx = 1, dy = 2), 1, 2 )

# }

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