statnet.common (version 4.10.0)

Welford: A Welford accumulator for sample mean and variance

Description

A simple class for keeping track of the running mean and the sum of squared deviations from the mean for a vector.

Usage

Welford(dn, means, vars)
# S3 method for Welford
update(object, newdata, ...)

Value

an object of type Welford: a list with four elements:

1. n: Running number of observations

2. means: Running mean for each variable

3. SSDs: Running sum of squared deviations from the mean for each variable

4. vars: Running variance of each variable

Arguments

dn, means, vars

initialization of the Welford object: if means and vars are given, they are treated as the running means and variances, and dn is their associated sample size, and if not, dn is the dimension of the vector (with sample size 0).

object

a Welford object.

newdata

either a numeric vector of length d, a numeric matrix with d columns for a group update, or another Welford object with the same d.

...

additional arguments to methods.

Methods (by generic)

• update(Welford): Update a Welford object with new data.

Examples

X <- matrix(rnorm(200), 20, 10)
w0 <- Welford(10)

w <- update(w0, X)
stopifnot(isTRUE(all.equal(w$means, colMeans(X))))
stopifnot(isTRUE(all.equal(w$vars, apply(X,2,var))))

w <- update(w0, X[1:12,])
w <- update(w, X[13:20,])
stopifnot(isTRUE(all.equal(w$means, colMeans(X))))
stopifnot(isTRUE(all.equal(w$vars, apply(X,2,var))))

w <- Welford(12, colMeans(X[1:12,]), apply(X[1:12,], 2, var))
w <- update(w, X[13:20,])
stopifnot(isTRUE(all.equal(w$means, colMeans(X))))
stopifnot(isTRUE(all.equal(w$vars, apply(X,2,var))))