spectacles: postResampleSpectro – R documentation

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postResampleSpectro

Calculates performance indictors across resamples

Description

Given two numeric vectors of data, the root mean squared error, the R-squared, the bias, the RPD, the RPIQ, the CCC and the standard error are calculated. For two factors, the overall agreement rate and Kappa are determined.

Usage

postResampleSpectro(pred, obs)
spectroSummary(data, lev = NULL, model = NULL)

Arguments

`data`	a data frame or matrix with columns obs and pred for the observed and predicted outcomes
`lev`	a character vector of factors levels for the response. In regression cases, this would be NULL.
`model`	a character string for the model name
`pred`	A vector of numeric data
`obs`	A vector of numeric data

Details

This function extends postResample in the caret package.

Author(s)

Pierre Roudier, adapted from code from Max Kuhn

Examples

predicted <-  matrix(rnorm(50), ncol = 5)
observed <- rnorm(10)
apply(predicted, 2, postResampleSpectro, obs = observed)

spectacles

Storing, Manipulating and Analysis Spectroscopy and Associated Data

v0.5-3

GPL-3

Authors

Pierre Roudier [aut, cre], Max Kuhn [ctb], Kristian Hovde Liland [ctb], Bjorn-Helge Mevik [ctb], Hadley Wickham [ctb], Raphael Viscarra Rossel [dtc]

Initial release

2021-01-11