expectation_data | R Documentation |
g
to
apply to each row of the data, and returns the expectation of g
under the
empirical distribution of the data. it also returns a confidence interval for
the expectation, and the number of samples used to compute the expectation.example: expectation_data(D, function(x) (x-colMeans(D)) %*% t(x-colMeans(D))) computes the covariance of the data D, except the matrix structure is lost (it's just a vector, which can be coerced back to a matrix if needed).
expectation_data(
data,
g = function(x) x,
...,
compute_stats = TRUE,
alpha = 0.05
)
data |
a matrix of data |
g |
a function to apply to each row of the data |
... |
additional arguments to pass to |
compute_stats |
whether to compute CIs for the expectations |
alpha |
the confidence level for the confidence interval for each component of the expectation (if compute_stats is TRUE) |
if compute_stats is TRUE, then a list with the following components: value - The estimate of the expectation ci - The confidence intervals for each component of the expectation n - The number of samples otherwise, just the value of the expectation.
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