extract_level

parameter

factor

<p>Extract the level from the factor name</p>

This is a cross-platform linear model to 'SQL' compiler. It generates 'SQL' from linear and generalized linear models. Its interface consists of a single function, modelc(), which takes the output of lm() or glm() functions (or any object which has the same signature) and outputs a 'SQL' character vector representing the predictions on the scale of the response variable as described in Dunn & Smith (2018) <doi:10.1007/978-1-4419-0118-7> and originating in Nelder & Wedderburn (1972) <doi:10.2307/2344614>. The resultant 'SQL' can be included in a 'SELECT' statement and returns output similar to that of the glm.predict() or lm.predict() predictions, assuming numeric types are represented in the database using sufficient precision. Currently log and identity link functions are supported.

Hugo Saavedra

modelc

A Linear Model to 'SQL' Compiler

Sparkfish Analytics 

extract_level function

Extract the level from the factor name — extract_level

Extract the level from the factor name

extract_level: Extract the level from the factor name

Description

Usage

Arguments

Value