In MarconiS/hiPyRneon: Collection of methods to predict leaf traits from hiperspectral imaging and leaf traits.

knitr::opts_chunk$set(echo = TRUE)

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data = readr::read_csv("./indir/Traits/CrownTraits.csv") 
trait_nms = colnames(data)[c(6,9,10)]
build_model(nrmlz = T, trait = trait_nms)

Including Plots

You can also embed plots, for example:

#batchtools
library(batchtools)
reg = makeRegistry(file.dir = NA, seed = 1987)
source("./R/build_model.R")
source("./R/get_random_bags.R")
source("./R/clean_permutations.R")
source("./R/cut_set.R")
source("./R/pls_glm_predict.R")
source("./R/pls_glm.R")

clean_permutations()
# define the jobs to be done
batchMap(fun = build_model(loop=n, nrmlz = T, trait = trait_nms), n = 1:2)

Note that the echo = FALSE parameter was added to the code chunk to prevent printing of the R code that generated the plot.

MarconiS/hiPyRneon documentation built on Jan. 20, 2021, 11:38 p.m.