r - Constrict ggplot ellips to realistic/possible values -


when plotting ellips ggplot possible constrain ellips values possible?

for example, following reproducible code , data plots ele vs. var 2 species. var positive variable , cannot negative. nonetheless, negative values included in resulting ellips. possible bound ellips 0 on x-axis (using ggplot)?

more specifically, picturing flat edge ellipsoids truncated @ 0 on x-axis.

library(ggplot2) set.seed(123) df <- data.frame(species = rep(c("bhs", "mtg"), each = 100),                  ele = c(sample(1500:3000, 100), sample(2500:3500, 100)),                  var = abs(rnorm(200)))  ggplot(df, aes(var, ele, color = species)) +   geom_point() +   stat_ellipse(aes(fill = species), geom="polygon",level=0.95,alpha=0.2)

enter image description here

you edit default stat clip points particular value. here change basic stat trim x values less 0 0

statclipellipse <- ggproto("statclipellipse", stat,     required_aes = c("x", "y"),     compute_group = function(data, scales, type = "t", level = 0.95,        segments = 51, na.rm = false) {            xx <- ggplot2:::calculate_ellipse(data = data, vars = c("x", "y"), type = type,                level = level, segments = segments)            xx %>% mutate(x=pmax(x, 0))       } )

then have wrap in ggplot stat identical stat_ellipe except uses our custom stat object

stat_clip_ellipse <- function(mapping = null, data = null,                          geom = "path", position = "identity",                          ...,                          type = "t",                          level = 0.95,                          segments = 51,                          na.rm = false,                          show.legend = na,                          inherit.aes = true) {   layer(     data = data,     mapping = mapping,     stat = statclipellipse,     geom = geom,     position = position,     show.legend = show.legend,     inherit.aes = inherit.aes,     params = list(       type = type,       level = level,       segments = segments,       na.rm = na.rm,       ...     )   ) }

then can use make plot

ggplot(df, aes(var, ele, color = species)) +   geom_point() +   stat_clip_ellipse(aes(fill = species), geom="polygon",level=0.95,alpha=0.2)

enter image description here

this inspired source code stat_ellipse.


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