metal: metal

CRAN
AsthmaNHANES: Asthma Data Sets from NHANES

R: metal
metalR Documentation
metal

metals: Properties of metals

CRAN
formatdown: Formatting Numbers in 'rmarkdown' Documents

R: Properties of metals
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

metal: metal: metal searching algorithm

GITHUB
predomics/predomicspkg: Interpretable Prediction in Omics Data

R: metal: metal searching algorithm
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

metal: Metallic Material

CRAN
rayrender: Build and Raytrace 3D Scenes

R: Metallic Material
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

metal: Metal music and anger

CRAN
discovr: Interactive Tutorials and Data for "Discovering Statistics Using R and RStudio"

R: Metal music and anger
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

metal: Simulated Metal Contents

CRAN
confidence: Confidence Estimation of Environmental State Classifications

R: Simulated Metal Contents
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

uptake: Total number of uptaking patients

CRAN
dynamicpv: Evaluates Present Values and Health Economic Models with Dynamic Pricing and Uptake

R: Total number of uptaking patients
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

metals: Data from heavy metal mixture experiments

GITHUB
MaximeBSanofi/drc2:

R: Data from heavy metal mixture experiments
metalsR Documentation
Data from heavy metal mixture experiments

metal: metal Bayesian Network

CRAN
bnRep: A Repository of Bayesian Networks from the Academic Literature

R: metal Bayesian Network
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

metals: Data from heavy metal mixture experiments

CRAN
drc: Analysis of Dose-Response Curves

R: Data from heavy metal mixture experiments
metalsR Documentation
Data from heavy metal mixture experiments

uptake: Data on the uptake rates of vaccination in the UK

GITHUB
MJomaba/flu-evidence-synthesis: Flu Evidence Synthesis: Analysing Effectiveness of Vaccine Strategies

R: Data on the uptake rates of vaccination in the UK
uptakeR Documentation
Data on the uptake rates of vaccination

module_energy_LA125.hydrogen: module_energy_LA125.hydrogen

GITHUB
bpbond/gcamdata: Build the GCAM Input Datasets

R: module_energy_LA125.hydrogen
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

module_energy_LA125.hydrogen: module_energy_LA125.hydrogen

GITHUB
JGCRI/gcamdata: Build the GCAM Input Datasets

R: module_energy_LA125.hydrogen
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

module_energy_L225.hydrogen: module_energy_L225.hydrogen

GITHUB
rohmin9122/gcam-korea-release: Build the GCAM-Korea Input Datasets

R: module_energy_L225.hydrogen
module_energy_L225.hydrogenR Documentation
module_energy_L225.hydrogen

module_energy_L225.hydrogen: module_energy_L225.hydrogen

GITHUB
JGCRI/gcamdata: Build the GCAM Input Datasets

R: module_energy_L225.hydrogen
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

module_energy_L225.hydrogen: module_energy_L225.hydrogen

GITHUB
bpbond/gcamdata: Build the GCAM Input Datasets

R: module_energy_L225.hydrogen
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

HydroGen: Hydrography generator

GITHUB
herrmannrobert/VerDi: Modelling the vertical distribution of aquatic organisms

hydrography for test purposes.
Usage
HydroGen(data, by = 10)

Metal: Production for SIC 33

RFORGE
Ecdat: Data Sets for Econometrics

of observations : 27
observation : regional
country : United States

metal: Aluminum Gradient Material for Metal's Design

CRAN
netSEM: Network Structural Equation Modeling

is simultaneously strengthened via solid solution strengthening and precipitation strengthening.
Usage
data(metal

clustering: Process genes clustering their distance to telomeres.

GITHUB
johrpan/geposan: Gene Position Analysis

R: Process genes clustering their distance to telomeres.
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt