| Histogram-class | R Documentation |
"Histogram"Object of class Histogram.
Objects can be created by calls of the form new("Histogram", ...). Accessor methods for the slots are a.Y(x = NULL),
a.K(x = NULL), a.ymin(x = NULL), a.ymax(x = NULL), a.y0(x = NULL), a.h(x = NULL), a.n(x = NULL) and a.ns(x = NULL).
Y:a data frame of size v \times (d + 1) containing d-dimensional histogram.
Each of the first d columns represents one random variable and contains bin means
\bar{\bm{y}}_{1}, \ldots, \bar{\bm{y}}_{v}. Column d + 1 contains frequencies k_{1}, \ldots, k_{v}.
K:an integer or a vector of length d containing numbers of bins v.
ymin:a vector of length d containing minimum observations.
ymax:a vector of length d containing maximum observations.
y0:a vector of length d containing origins.
h:a vector of length d containing bin widths.
n:an integer containing total number n of observations.
ns:an integer containing number n_{\mathrm{s}} of samples.
Marko Nagode
Y <- as.data.frame(matrix(1.0, nrow = 8, ncol = 3))
hist <- new("Histogram", Y = Y, K = c(4, 2), ymin = c(2, 1), ymax = c(10, 8))
a.Y(hist)
a.K(hist)
a.ymin(hist)
a.ymax(hist)
a.y0(hist)
a.h(hist)
a.n(hist)
a.ns(hist)
# Multiplay Y[ , d + 1] by 0.1.
a.Y(hist) <- 0.1
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