Package: cndplantanalysis 1.0.2

Blesson B. Varghese

cndplantanalysis: Compositional Nutrient Diagnosis for Plant Tissue Analysis

Provides an implementation of Compositional Nutrient Diagnosis (CND) for plant tissue tests. Computes scale invariant simplex filling values(Rd), row-centered log-ratios (CLR), iterative database partitioning via Cate-Nelson procedures, cubic polynomial regression of cumulative variance ratio functions to determine inflection point yield cutoffs, critical CND nutrient imbalance thresholds (r^2) using the chi-square distribution, diagnostic standardized indices (Ix) and automated Cate Nelson scatter partitioning. Includes linear, non-linear, cumulative variance, chi-square and quadrant plotting functions.Methodology and theoretical frameworks are grounded in Parent and Dafir (1992) <doi:10.21273/JASHS.117.2.239> and Khiari et al. (2001) <doi:10.2134/agronj2001.934802x>.

Authors:Blesson B. Varghese [aut, cre], Rohith A K [aut], Anjali S. [aut], Aliya Shirin K S [aut], Hilal Mohamed [aut]

cndplantanalysis_1.0.2.tar.gz
cndplantanalysis_1.0.2.zip(r-4.7-any)cndplantanalysis_1.0.2.zip(r-4.6-any)
cndplantanalysis_1.0.2.tar.gz(r-4.7-any)cndplantanalysis_1.0.2.tar.gz(r-4.6-any)
cndplantanalysis_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
cndplantanalysis/json (API)

# Install 'cndplantanalysis' in R:
install.packages('cndplantanalysis', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 11 exports 17 dependencies

Last updated from:0dcffe2fd0. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK117
source / vignettesOK166
linux-releaseOK115
windows-develOK61
windows-releaseOK87
wasm-releaseOK94

Exports:calc_cate_nelson_empiricalcut_off_tablediagnose_specimeniteration_for_hyplog_centered_tableplot_cate_nelsonplot_cnd_chisqplot_cnd_yield_linearplot_cnd_yield_nlrplot_cumulative_variancesimplex_table

Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecycleR6RColorBrewerrlangS7scalesvctrsviridisLitewithr