f_weibo_app_followtags: 文本向量词

GITHUB
yibochen/weiBor: fetch and analyse weibo data

R: 文本向量词
f_weibo_app_followtagsR Documentation
文本向量词

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

com: com

GITHUB
jfq3/QsNullModels: My null model functions

R: com
comR Documentation
com

f_weibo_app_content: 博内容的初步分析:博关键词及时间分布

GITHUB
yibochen/weiBor: fetch and analyse weibo data

=NULL, cnt_words=100)
Arguments
hisID

experiments/20180820_黑龙江真验3.Rmd:

GITHUB
ahorawzy/HVS: This package is designed for Highway Virtual Traffic Survey Station project.

步:载入基础数据
- hlj_roadnet黑龙江路邻接矩阵,维度是199*199,,元素0表两点不直接连通(或是与它自己),元素不0表两点直接连通,值反映两点之间的里程;
- hrbs哈尔滨区域内的单日数据,有22列

COM: Full access to client COM invocation

GITHUB
omegahat/RDCOMClient: R-DCOM client

R: Full access to client COM invocation
.COMR Documentation
Full access to client COM invocation

f_weibo_login: 博登录

GITHUB
yibochen/weiBor: fetch and analyse weibo data

Arguments
name
用户,通常是邮箱

experiments/20180625_jd201805探.Rmd:

GITHUB
ahorawzy/Mreport: Monthly Report of traffic condition

title: "20180625_jd201805探"
author: "wzy"
date: "2018年6月25日"

experiments/20180821_站交调站画图.Rmd:

GITHUB
ahorawzy/HVS: This package is designed for Highway Virtual Traffic Survey Station project.

## 站数据准
```{r}
hljsfstation <- read.csv("D:\\data\\sfsj\\sf_station.csv",stringsAsFactors = F)

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

inst/other/get_tuple.R:

CRAN
jiebaR: Chinese Text Segmentation

一样的推广策略,即邀请明星和人加入开设型博客,并对他们进行后的用户在用户后会加上一个字母“V”(个人字母V金黄色,企业字母V深蓝色),以示与普通用户的区别,同时也可避免冒充博的行,但博功能和普通用户

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

com: Return complementary nucleotide

GITHUB
hms-dbmi/spacemut: Analysis of spatial mutation patterns.

complementary nucleotide
Usage
com(x)

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

mtrl_genDataKdc: 根据配置表产生金蝶固有字段并按行复制

GITHUB
takewiki/kdcmtrlpkg:

R: 根据配置表产生金蝶固有字段并按行复制
mtrl_genDataKdcR Documentation
根据配置表产生金蝶固有字段并按行复制

tg: Summarized ToothGrowth data

GITHUB
wch/gcookbook: Data for "R Graphics Cookbook"

ToothGrowth data
Usage
tg