aggregate_spectra: Aggregate data based on grouping variables and a...

In GoreLab/waves: Vis-NIR Spectral Analysis Wrapper

Aggregate data based on grouping variables and a user-provided function

Description

Use grouping variables to collapse spectral data.frame by mean or median. Recommended for use after filter_spectra

Usage

aggregate_spectra(df, grouping.colnames, reference.value.colname,
  agg.function)

Arguments

df	data.frame object containing one or multiple columns of grouping variables (must be consistent within each group), column of reference values (optional), and columns of spectra. Spectral column names must start with "X".
grouping.colnames	Names of columns to be used as grouping variables. Minimum 2 variables required. Default is c("trial", "plot").
reference.value.colname	Name of reference column to be aggregated along with spectra. Default is "reference"
agg.function	Name of function (string format) to be used for sample aggregation. Must be either "mean" or "median". Default is "mean".

Value

data.frame object df aggregated based on grouping column by agg.function

Author(s)

Jenna Hershberger [e-mail]

Examples

library(magrittr)
aggregated.test <- ikeogu.2017 %>%
  dplyr::select(-TCC) %>%
  na.omit() %>%
  aggregate_spectra(
    grouping.colnames = c("study.name"),
    reference.value.colname = "DMC.oven",
    agg.function = "mean"
  )
aggregated.test[1:5, 1:5]

GoreLab/waves documentation built on April 15, 2024, 3:28 p.m.