warna: warna

GITHUB

ilyamaclean/climvars: Functions for calculating biologically meaningful climate variables

R: warna
warnaR Documentation
warna

grass: grass

GITHUB

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

R: grass
grass R Documentation
grass

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

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)

M2: M2 dataset

CRAN

FuzzyStatTra: Statistical Methods for Trapezoidal Fuzzy Numbers

R: M2 dataset
M2R Documentation
M2 dataset

M2: Compute the M2 model fit statistic

GITHUB

xzhaopsy/MIRT: Multidimensional Item Response Theory

R: Compute the M2 model fit statistic
M2R Documentation
Compute the M2 model fit statistic

M2: Compute the M2 model fit statistic

CRAN

mirt: Multidimensional Item Response Theory

R: Compute the M2 model fit statistic
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

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

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

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

per: Periodogram (PER)

CRAN

qfa: Quantile-Frequency Analysis (QFA) of Time Series and Spline Quantile Regression (SQR)

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

per: Constructs a Per object.

GITHUB

emjun/tisaner: Authoring Statistical Models from Conceptual Models

R: Constructs a Per object.
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

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.

Blocks: Blocks

GITHUB

LaplacesDemonR/LaplacesDemonCpp: C++ Extension for LaplacesDemon

)) of the posterior correlation
matrix. With sequential assignment, the number of parameters per
block is approximately equal

blocking: blocking: Blocking

CRAN

r6qualitytools: R6-Based Statistical Methods for Quality Science

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