weightedVar

weightedSd

a <code><a href="/link/numeric?package=matrixStats&version=0.12.2&to=base" rd-options="base" data-mini-rdoc="base::numeric">numeric</a></code> <code><a href="/link/vector?package=matrixStats&version=0.12.2&to=base" rd-options="base" data-mini-rdoc="base::vector">vector</a></code> containing the values whose
           weighted variance is to be computed.

a vector of weights the same length as <code>x</code> giving the weights
           to use for each element of <code>x</code>. Negative weights are treated
           as zero weights. Default value is equal weight to all values.

a logical value indicating whether <code><a href="/link/NA?package=matrixStats&version=0.12.2&to=base" rd-options="base" data-mini-rdoc="base::NA">NA</a></code> values in
           <code>x</code> should be stripped before the computation proceeds,
           or not.  If <code><a href="/link/NA?package=matrixStats&version=0.12.2&to=base" rd-options="base" data-mini-rdoc="base::NA">NA</a></code>, no che

na.rm

Optional <code><a href="/link/numeric?package=matrixStats&version=0.12.2&to=base" rd-options="base" data-mini-rdoc="base::numeric">numeric</a></code> scalar specifying the center
           location of the data.  If <code><a href="/link/NULL?package=matrixStats&version=0.12.2&to=base" rd-options="base" data-mini-rdoc="base::NULL">NULL</a></code>, it is estimated from data.

center

Computes a weighted variance of a numeric vector.

robust

univar

Methods operating on rows and columns of matrices, e.g. col/rowMedians(), col/rowRanks() and col/rowSds().  There are also some vector-based methods, e.g. binMeans(), madDiff() and weightedMedians().  All methods have been optimized for speed and memory usage.

Henrik Bengtsson

matrixStats

Methods that Apply to Rows and Columns of a Matrix

weightedVar function

Missing values are dropped at the very beginning, if argument
  <code>na.rm</code> is <code><a href="/link/TRUE?package=matrixStats&version=0.12.2&to=base%3Alogical" rd-options="base:logical" data-mini-rdoc="base:logical::TRUE">TRUE</a></code>, otherwise not.

weightedVar: Weighted variance

Description

Usage

Arguments

Value

Missing values

See Also