impute_REE: Impute Rare earth elements

In imputeREE: Impute Missing Rare Earth Element Data in Zircon

Impute Rare earth elements

Description

Imputes missing REE after modelling. Expect the output of 'model_REE()' function. Only missing values are replaced.

Usage

impute_REE(data, prefix = NULL, suffix = NULL, rsquared = 0.95)

Arguments

data	A dataframe resulting from 'model_ree()'
prefix	A prefix in your columns e.g. ICP_La
suffix	A suffix in your columns e.g. La_ppm
rsquared	A numerical value between 0 and 1. Tolerance to mis-fitting models. set as 0.9 by default.

Details

By default, exclude models with R-squared lower than 0.95. This limit is flexible and method dependent. As guidelines, the Chondrite-Lattice mthod should consider R-squared > 0.95 for at least 3 points. The Chondrite-Onuma method should consider R-squared >0.98 for at least 4 points.

Value

A dataframe

Examples

Ballard_et_al_Zircon %>%
dplyr::slice(1:100) %>%
model_REE(prefix = 'Zr', suffix = 'ppm') %>%
impute_REE(prefix = 'Zr', suffix = 'ppm')

imputeREE documentation built on July 9, 2023, 7:35 p.m.