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

Facebook: Facebook

GITHUB
rpruim/ISIwithR: Data sets for "Introduction to Statistical Investigations"

R: Facebook
FacebookR Documentation
Facebook

facebook: facebook data

GITHUB
jrnold/bps6data: Datasets from The Basic Practice of Statistics, 6th ed.

R: facebook data
facebookR Documentation
facebook data

facebook: Facebook metrics Data Set

GITHUB
jr-packages/jrData: Jumping Rivers Data Sets

R: Facebook metrics Data Set
facebookR Documentation
Facebook metrics Data Set

facebook: Facebook metrics Data Set

GITHUB
jr-packages/jrModelling: Jumping Rivers: Statistical Modelling with R

R: Facebook metrics Data Set
facebookR Documentation
Facebook metrics Data Set

facebook: Facebook metrics Data Set

GITHUB
jr-packages/jrAnalytics: Practicals and datasets for Jumping Rivers courses

R: Facebook metrics Data Set
facebookR Documentation
Facebook metrics Data Set

facebook: Facebook metrics Data Set

GITHUB
jr-packages/jrModellingBio: Statistical Modelling with R for Biologists

R: Facebook metrics Data Set
facebookR Documentation
Facebook metrics Data Set

facebook: Facebook metrics Data Set

GITHUB
jr-packages/jroreillyregression: O'Reilly Regression Exercises

R: Facebook metrics Data Set
facebookR Documentation
Facebook metrics Data Set

facebook: Facebook performance metrics for data mining and machine...

CRAN
asbio: A Collection of Statistical Tools for Biologists

R: Facebook performance metrics for data mining and machine...
const macros = { "\\R": "\\textsf{R}", "\\code

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

userQuery_disable: 用禁用

GITHUB
takewiki/mdlUserManagerServer: user management manager server functions for dms

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

发历程.md:

GITHUB
hulinhui-code/hulinhui: Hu Linhui's Personal Package

)`顺利安装git-hub包。注意,
>**奇怪的是,通过`file.edit('~/.Renviron')`打的环境文件显示是已经更改过来的D盘安装包路径,与`.libPaths()`显示出的安装包路径(C盘)不同**。
## 总结完整解

roleQuery_query: 用查询

GITHUB
takewiki/mdlUserManagerServer: user management manager server functions for dms

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