View source: R/calc_cramers_dist_equal_space.R
calc_cramers_dist_equal_space | R Documentation |
Approximate the Cramer’s distance between a pair of distributions F and G that are represented by a collection of equally-spaced quantiles.
calc_cramers_dist_equal_space(q_F, tau_F, q_G, tau_G, approx_rule)
q_F |
vector containing the quantiles of F |
tau_F |
vector containing the probability levels corresponding to the quantiles of F. |
q_G |
vector containing the quantiles of G |
tau_G |
vector containing the probability levels corresponding to the quantiles of G. |
approx_rule |
string specifying which formula to use for approximation. Valid rules are "approximation1" and "approximation2". See Details for more information. |
This function requires the two vectors of quantiles to be of equal length. The approximation methods are formulated based on two collections of quantiles corresponding to equally-spaced probability levels. The approximation formula for "approximation1" is
\text{CD}(F,G) \approx \left\{\frac{1}{K(K+1)}\sum^{2K-1}_{i=1}b_i(b_i+1)(q_{i+1}-q_i)\right\}
and the approximation formula for "approximation2" is
\text{CD}(F,G) \approx \left\{\frac{1}{(K+1)^2}\sum^{2K-1}_{i=1}b_i^2(q_{i+1}-q_i)\right\}
where q_i
is an element in a vector of an ordered pooled quantiles
of q_F
and q_G
and b_i
is an element of a vector of the absolute
values of cumulative sums of \mathbf{a}
, whose element is 1 if
q_i
is a quantile of F or -1 if q_i
is a quantile of G.
The "approximation1" formula reduces to the WIS if G is a point mass, while
the "approximation2" formula is a direct approximation of the integral
via a step function.
a single value of approximated pairwise Cramér distance between q_F and q_G
f_vector <- 1:9
tau_F_vector <- tau_G_vector <- seq(0.1, 0.9, 0.1)
g_vector <- seq(2, 18, 2)
calc_cramers_dist_equal_space(f_vector, tau_F_vector, g_vector, tau_G_vector, "approximation1")
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