grass: grass

GITHUB

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

computation load is heavy, one can use a small number of
permutations B and set nominal.p = TRUE.
Details

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

grass: Wet grass example

GITHUB

DataSciBurgoon/gRain: Graphical Independence Networks

R: Wet grass example
grassR Documentation
Wet grass example

heaviness: Heaviness from parent packages

CRAN

pkgndep: Analyze Dependency Heaviness of R Packages

R: Heaviness from parent packages
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

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

heavy: Robust Estimation Using Heavy-Tailed Distributions

CRAN

heavy: Robust Estimation Using Heavy-Tailed Distributions

Package: heavy
Version: 0.38.196
Title: Robust Estimation Using Heavy-Tailed Distributions

Grass: Yields from Nitrogen nutrition of grass species

RFORGE

candisc: Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis

R: Yields from Nitrogen nutrition of grass species
GrassR Documentation
Yields from Nitrogen nutrition of grass

Grass: Yields from Nitrogen nutrition of grass species

CRAN

candisc: Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis

R: Yields from Nitrogen nutrition of grass species
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt

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

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

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

KalimantanTengah: Food Prices in Kalimantan Tengah

CRAN

ifpd: Indonesia Food Prices Data

R: Food Prices in Kalimantan Tengah
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

WA: SpatialPolygonsDataFrame for the state of Washington, USA

GITHUB

tmcd82070/SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

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.

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

grasses: Water potential example dataset

GITHUB

efernandezpascual/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

heaviness: Weights Judging Data

CRAN

eba: Elimination-by-Aspects Models

were aggregated across subjects for the
two within-pair presentation orders.
Usage

wa: Weighted averaging transfer functions

CRAN

analogue: Analogue and Weighted Averaging Methods for Palaeoecology

and classicial
deshrinking are supported.
Usage

WA: SpatialPolygonsDataFrame for the state of Washington, USA

GITHUB

semmons1/TEST-SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")