step_plot | R Documentation |
Plotting step functions, empirical distribution functions and empirical quantile functions.
step_plot(x, y, y0 = NA, x0 = NA, x1 = NA, method = c("edf", "eqf"), log = "",
verticals = NA, do.points = NA, add = FALSE,
col = par("col"), main = "", xlab = "x", ylab = "Function value at x",
plot.args = NULL, segments.args = NULL, points.args = NULL)
edf_plot(x, y0 = 0, x0 = NA, x1 = NA, log = "",
verticals = NA, do.points = NA, col = par("col"),
main = "", xlab = "x", ylab = "Distribution function at x", ...)
eqf_plot(x, y0 = NA, x0 = 0, x1 = 1, log = "",
verticals = NA, do.points = NA, col = par("col"),
main = "", xlab = "x", ylab = "Quantile function at x", ...)
x |
|
y |
y-values corresponding to |
y0 |
y-value of the graph extending to the left of the first x-value. |
x0 |
smallest x-value. |
x1 |
largest x-value. |
method |
|
log |
|
verticals |
|
do.points |
|
add |
|
col |
color (for |
main |
title. |
xlab |
x-axis label. |
ylab |
y-axis label. |
plot.args |
|
segments.args |
|
points.args |
|
... |
additional arguments passed to the underlying
|
Nothing (plot by side-effect).
Marius Hofert
x <- c(5, 2, 4, 2, 3, 2, 2, 2, 1, 2) # example data
edf_plot(x) # empirical distribution function (edf)
edf_plot(x, log = "x")
edf_plot(x, verticals = TRUE)
edf_plot(x, do.points = FALSE)
cols <- c("black", "royalblue3")
edf_plot(list(x, x+2), col = cols) # edf with shifted edf
edf_plot(list(x, x+2), col = cols, x0 = 0.5, x1 = 7.5)
edf_plot(list(x, x+2), col = cols, x0 = 0.5, x1 = 7.5, verticals = TRUE)
eqf_plot(x) # empirical quantile function
eqf_plot(x, verticals = TRUE)
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