compute_count_vec: Count unique observations (vector).

In hadley/ggstat: Statistical Computations for Visualisation

Description

This function is very similar to table except that: it counts missing values if present, can use weights, only does 1d, returns a 2 column data frame instead of a named vector, and is much much faster.

Usage

compute_count_vec(x, w = NULL)

Arguments

x	A logical vector, a factor, a double or integer vector (or S3 object with restore() method), or a character vector.
w	Optionally, a vector of weights. If present, weights are summed instead of counting observations. In other words, the default behaviour is to assign weight 1 to each point.

Value

A data frame with columns:

x_	value (same type as x)
count_	number of observations/sum of weights (numeric)

Examples

compute_count_vec(sample(100, 1e4, rep = TRUE))
compute_count_vec(sample(c(TRUE, FALSE, NA), 1e4, rep = TRUE))

hadley/ggstat documentation built on May 17, 2019, 10:40 a.m.