tg: tg "to grob" helper function

GITHUB

almartin82/mapvizieR: Visualization and Data Analysis tools for NWEA MAP student data

R: tg "to grob" helper function
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

Sm: Sm data

CRAN

phytoclass: Estimate Chla Concentrations of Phytoplankton Groups

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

SMS: Debugger SMS Action Class

GITHUB

DyfanJones/sagemaker-r-debugger: R6sagemaker debugger for sagemaker operations

R: Debugger SMS Action Class
SMSR Documentation
Debugger SMS Action Class

sm: SM: Extraer de source_master

GITHUB

Tezzzcatlipoca/leeSMS: Paquete para leer informacion de SMS de Retail y Scan

R: SM: Extraer de source_master
smR Documentation
SM: Extraer de source_master

sm: Simple Matching Coefficient (SM)

CRAN

nomclust: Hierarchical Cluster Analysis of Nominal Data

R: Simple Matching Coefficient (SM)
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

sms: SMS Spam Collection v. 1

GITHUB

WFU-TLC/analyzr: Support Package for Data Analysis with R (FLC)

R: SMS Spam Collection v. 1
smsR Documentation
SMS Spam Collection v. 1

sm: The sm package: summary information

CRAN

sm: Smoothing Methods for Nonparametric Regression and Density Estimation

R: The sm package: summary information
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

sms: SMS Spam Collection v. 1

GITHUB

francojc/tadr: Text as Data Resources

R: SMS Spam Collection v. 1
smsR Documentation
SMS Spam Collection v. 1

Sm: 'sm' selects variables matching string 'x', not...

GITHUB

rethinkpriorities/r-noodling-package: Rethink Priority's R Package

R: 'sm' selects variables matching string 'x', not...
smR Documentation
sm selects variables matching string 'x

TGS: Rapid Reconstruction of Time-Varying Gene Regulatory Networks

CRAN

TGS: Rapid Reconstruction of Time-Varying Gene Regulatory Networks

Package: TGS
Version: 1.0.1
Title: Rapid Reconstruction of Time-Varying Gene Regulatory Networks

R/TGS-package.R
man/TGS-package.Rd

TG: Generalized g-Prior Distribution for Coefficients in BMA

CRAN

BAS: Bayesian Variable Selection and Model Averaging using Bayesian Adaptive Sampling

g-priors on coefficients for BAS, where u = 1/(1+g) has a Gamma distribution
supported on (0, 1].
Usage

tg: Run metamodel

GITHUB

lucabutikofer/LingraNR: R Interface to LINGRA-N Tool

in Qi et al. 2018 for
grassland productivity on temporary (tg()), permanent (pg())
and semi-natural (rough grazing, rg

TGS-package: TGS: A package for Rapid Reconstruction of Time-Varying Gene...

CRAN

TGS: Rapid Reconstruction of Time-Varying Gene Regulatory Networks

R: TGS: A package for Rapid Reconstruction of Time-Varying Gene...
TGS-packageR Documentation
TGS: A package

TGS-package: TGS: A package for Rapid Reconstruction of Time-Varying Gene...

GITHUB

sap01/TGS: Rapid Reconstruction of Time-Varying Gene Regulatory Networks

R: TGS: A package for Rapid Reconstruction of Time-Varying Gene...
TGS-packageR Documentation
TGS: A package

tg: FUSION output on 2013 Triglycerides GWAS

GITHUB

bogdanlab/RHOGE: Genome-wide genetic correlation between two complex traits using TWAS effect-size estimates

FUSION output on 2013 Triglycerides GWAS
Usage
tg

TG: Thermogravimetry curves

CRAN

ILS: Interlaboratory Study

oxalate samples were tested by thermogravimetric (TG) analysis,
obtaining 105 TG curves that shows the mass loss of oxalate

tg: Summarized ToothGrowth data

GITHUB

wch/gcookbook: Data for "R Graphics Cookbook"

ToothGrowth data
Usage
tg

sms: Spatial Microsimulation

CRAN

sms: Spatial Microsimulation

Package: sms
Type: Package
Title: Spatial Microsimulation

man/sms-package.Rd

sm-internal: Internal sm functions

CRAN

sm: Smoothing Methods for Nonparametric Regression and Density Estimation

R: Internal sm functions
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

sms: Spatial Moving Statistic

CRAN

spc4sts: Statistical Process Control for Stochastic Textured Surfaces

statistics (SMS) for pixels in a given image.
Usage
sms(img, stat = c("ad", "bp"), w, Fr, gamma = (w + 1)/2)