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

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

get_ring_retain: 随机获得新用户的环比系数

GITHUB

catlain/LTV:

= 8, max = 0.999)
Arguments
随机获取环比参数的个性。默认8(对标2,4,7,16,30,120,180,360的时段划分)

开发历程.md:

GITHUB

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

Files/RStudio/R/packages_hulinhui"”后问题解决。
注意：**R路径用撇不用捺。更新函数前先在IDE里测试下再放入。**。
但Win版Rstudio和Jupyter仍然出问题。

f_weibo_app_followtags: 文本向量词云

GITHUB

yibochen/weiBor: fetch and analyse weibo data

cnt_words
词云中展示的关键词个数的上限
scale_a,scale_b

experiments/20180409_序列生成机制分析.Rmd:

GITHUB

ahorawzy/TFTSA: Traffic Flow Time Series Analysis

研究分析。
相比第一部分交通流聚类，第二部分我看的文章较少，对于怎么做还不甚清楚。相比第一部分，第二部分所处理数据的工作量没有那么大，但难在思路和方法的创新上，并且要考虑到与第一部分结合。
今天的实验主要是3.4节交通流序列生成机制分析

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

GITHUB

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

Package: TGS
Version: 1.0.1.9000
Title: Rapid Reconstruction of Time-Varying Gene Regulatory Networks

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

aibot: 创建查询机器人

GITHUB

takewiki/tsai: takewiki solution for AI

R: 创建查询机器人
aibotR Documentation
创建查询机器人

experiments/20171219_10月1日交通流随机森林建模.Rmd:

GITHUB

ahorawzy/TFTSA: Traffic Flow Time Series Analysis

title: "20171219_10月1日交通流随机森林建模"
author: "王致远"
date: "2017年12月19日"

nse_subScramble: 测试取子集后随机排序

GITHUB

takewiki/tsdo: data objects in takewiki solutions

R: 测试取子集后随机排序
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {

run_download_xlsx: 处理下载文件

GITHUB

takewiki/tsui: user interface elements from shiny,H5,css,js in takewiki solutions

R: 处理下载文件
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {

uiTemplate: 设置下载模板

GITHUB

takewiki/tsui: user interface elements from shiny,H5,css,js in takewiki solutions

R: 设置下载模板
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {

download: 添加下载函数

GITHUB

takewiki/tsdo: data objects in takewiki solutions

R: 添加下载函数
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {