eNames: eNames

BIOC

TimiRGeN: Time sensitive microRNA-mRNA integration, analysis and network generation tool

R: eNames
eNamesR Documentation
eNames

eNames: eNames

GITHUB

Krutik6/TimiRGeN: Time sensitive microRNA-mRNA integration, analysis and network generation tool

R: eNames
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {

grass: grass

GITHUB

lschen-stat/SNPath: Algorithms for pathway analysis using SNP data

R: grass
grass R Documentation
grass

grass: Wet grass example

GITHUB

DataSciBurgoon/gRain: Graphical Independence Networks

R: Wet grass example
grassR Documentation
Wet grass example

Grass: The effects of fertilizers on coastal Bermuda grass

CRAN

glmtoolbox: Set of Tools to Data Analysis using Generalized Linear Models

R: The effects of fertilizers on coastal Bermuda grass
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt

WA: Weighted averaging (WA) regression and calibration

CRAN

rioja: Analysis of Quaternary Science Data

R: Weighted averaging (WA) regression and calibration
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt

WA: Weighted averaging (WA) regression and calibration

GITHUB

nsj3/rioja: Analysis of Quaternary Science Data

R: Weighted averaging (WA) regression and calibration
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt

Grass: Yields from Nitrogen nutrition of grass species

RFORGE

candisc: Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis

replicates (Block) grown in sand culture
at five levels of nitrogen.
Usage

Grass: Yields from Nitrogen nutrition of grass species

CRAN

candisc: Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis

-Verlag, Table A-5.
Examples
str(Grass)

RAB: real adaboost (Friedman et al

GITHUB

lgatto/MLInterfaces: Uniform interfaces to R machine learning procedures for data in Bioconductor containers

... a demonstration version
Usage
RAB(formula, data, maxiter=200, maxdepth=1)

pave: Provide square polygons or their node coordinates along

CRAN

pgirmess: Spatial Analysis and Data Mining for Field Ecologists

node points) along a segment. This can be used to define a sampling grid for spatial analysis.
Usage
pave(cordseg, yc

grass: Data for Friedman test

CRAN

agricolae: Statistical Procedures for Agricultural Research

identical
areas in his yard and to plant four different types of grasses, one in each area.
Usage

RAB: Compute the relative absolute bias of multiple estimators

CRAN

SimDesign: Structure for Organizing Monte Carlo Simulation Designs

estimators.
Usage
RAB(x, percent = FALSE, unname = FALSE)

WA: While-Alive Loss Rate for Recurrent Event in the Presence of Death

CRAN

WA: While-Alive Loss Rate for Recurrent Event in the Presence of Death

Package: WA
Type: Package
Title: While-Alive Loss Rate for Recurrent Event in the Presence of

RAB: real adaboost (Friedman et al

BIOC

MLInterfaces: Uniform interfaces to R machine learning procedures for data in Bioconductor containers

... a demonstration version
Usage
RAB(formula, data, maxiter=200, maxdepth=1)

grasses: Water potential example dataset

CRAN

seedr: Hydro and Thermal Time Seed Germination Models in R

This is a dataset containing information from a water potential experiment
with grass seeds. It is used to give examples

grass: Data for Friedman test

GITHUB

myaseen208/agricolae: Statistical Procedures for Agricultural Research

identical
areas in his yard and to plant four different types of grasses, one in each
area.

blocking: blocking: Blocking

CRAN

r6qualitytools: R6-Based Statistical Methods for Quality Science

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

grass: Agricultural factorial design

CRAN

asbio: A Collection of Statistical Tools for Biologists

grass varieties. The seed growing methods were applied to seed from each grass variety.
Six pots were planted

WA: SpatialPolygonsDataFrame for the state of Washington, USA

GITHUB

tmcd82070/SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")