clusterQp | R Documentation |
Sample quantiles in each cluster of observations.
clusterQp(
formula,
data,
f_sum_ = mean.default,
probs = seq.int(from = 0.01, to = 0.99, by = 0.01),
...
)
formula |
formula,
including response
|
data |
data.frame |
f_sum_ |
function to summarize the sample quantiles from
lower-level cluster |
probs |
double vector,
probabilities |
... |
additional parameters of function quantile |
Function clusterQp returns an aggregated data.frame, in which
the highest cluster c_1
and cluster-specific covariate(s) x
's
are retained.
If the input formula
takes form of y ~ . | c1
or y ~ . - z1 | c1
,
then all covariates (except for z_1
) are considered cluster-specific;
Sample quantiles from lower-level clusters (e.g., c_2
) are point-wise summarized using function f_sum_
.
response y
is removed; instead, a double matrix of N
columns stores
the cluster-specific sample quantiles.
This matrix
is named after the parsed expression of response y
in formula
;
colnames are the probabilities \mathbf{p}
, for the ease of subsequent programming.
# see ?`Qindex-package` for examples
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