weighted_se: Weighted standard error
In diagis: Diagnostic Plot and Multivariate Summary Statistics of Weighted Samples from Importance Sampling
weighted_se R Documentation
Weighted standard error
Description
Computes a weighted standard error of a vector or matrix.
Usage
weighted_se(x, w, na.rm)
Arguments
x
A numeric vector or matrix. For matrix, standard errors are
computed for each column
w
A numeric vector of non-negative weights. Will be automatically normalised to sum to one.
na.rm
If TRUE, NA values in x (and corresponding weights in w) are
omitted from the computation. Default is FALSE.
Value
A weighted variance.
Note
Compared to some other R functions, here the weights are regarded as probability weights,
not frequency weights.
diagis documentation built on Sept. 8, 2023, 6:13 p.m.
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| weighted_se | R Documentation |
Weighted standard error
Description
Computes a weighted standard error of a vector or matrix.
Usage
weighted_se(x, w, na.rm)
Arguments
x |
A numeric vector or matrix. For matrix, standard errors are computed for each column |
w |
A numeric vector of non-negative weights. Will be automatically normalised to sum to one. |
na.rm |
If |
Value
A weighted variance.
Note
Compared to some other R functions, here the weights are regarded as probability weights, not frequency weights.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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