conjecture: Specialized "long to wide" reshaping

In sift: Intelligently Peruse Data

Description

On the surface, conjecture() appears similar to tidyr::pivot_wider(), but uses different logic tailored to a specific type of dataset:

• column corresponding to names_from contains only 2 levels

• there is no determinate combination of elements to fill 2 columns per row.

See vignette("conjecture") for more details.

Usage

conjecture(data, sort_by, names_from, names_first)

Arguments

data	A data frame to reshape.
sort_by	Column name, as symbol. Plays a similar role as values_from in pivot_wider(), but also serves as sorting dimension for underlying conjecture algorithm.
names_from	Column name, as symbol. Used to differentiate anterior/posterior observations. Column must only contain 2 levels (missing values not allowed).
names_first	level in variable specified by names_from indicating anterior observation.

Details

conjecture() uses the following routine to match elements:

1. Values in sort_by are separated into two vectors: anterior and posterior.

2. Each anterior element is matched with the closest posterior element measured by sort_by.

Value

An object of the same type as data.

Examples

# See vignette("conjecture") for more examples

conjecture(comms, timestamp, type, "send")

sift documentation built on July 5, 2021, 5:08 p.m.