ggtrans: 谷歌翻译

GITHUB

Gabegit/gmtools: My small tools for efficiency

R: 谷歌翻译
ggtransR Documentation
谷歌翻译

f_weibo_app_followtags: 文本向量词云

GITHUB

yibochen/weiBor: fetch and analyse weibo data

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

telegram: telegram.

CRAN

telegram: R Wrapper Around the Telegram Bot API

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

rbu_feeCollection_adj: 费用归集-手调凭证 mrpt2_vw_ds_adj_all

GITHUB

takewiki/rbupkg: Report Base Unit for Report system.

R: 费用归集-手调凭证 mrpt2_vw_ds_adj_all
rbu_feeCollection_adjR Documentation
费用归集-手调凭证

telegram: telegram.

GITHUB

lbraglia/telegram: R Wrapper Around the Telegram Bot API

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

使用说明.md:

GITHUB

rxw125/AnnoColor:

", num = 8)
##### 参数
**num:** 所取用的颜色数量，可以是数值可以是向量。如果填一个数值n，则表示取第一个到第n个颜色代码。如果填写向量，则仅取向量内对饮编号的颜色代码。默认是8

telegram: R Wrapper Around the Telegram Bot API

CRAN

telegram: R Wrapper Around the Telegram Bot API

Package: telegram
Title: R Wrapper Around the Telegram Bot API
Version: 0.7.1

com: com

GITHUB

jfq3/QsNullModels: My null model functions

R: com
comR Documentation
com

experiments/20180409_序列生成机制分析.Rmd:

GITHUB

ahorawzy/TFTSA: Traffic Flow Time Series Analysis

"))
## 平稳性分析
Dickey-Fuller检验

get_fit: 重复随机试验计算最优参数

GITHUB

catlain/LTV:

暴力预测次数，默认50000
train_cr:
全部真实数据中用来做为训练的比例。默认0.8

str_splitByRighttBrace: 将字符串进行拆分为多列，使用右括号

GITHUB

takewiki/tsdo: data objects in takewiki solutions

R: 将字符串进行拆分为多列，使用右括号
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

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)

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

get_prediction_daily: 使用已有系数拟合预测DAU并计算差异

GITHUB

catlain/LTV:

type:
"train",使用跟训练拟合有关的参数判断，以train_days为训练日期得到拟合结果再以test_df计算差异验证训练结果；"test",直接使用test_df拟合参数及计算差异。默认"train

lbraglia/telegram: R Wrapper Around the Telegram Bot API

GITHUB

lbraglia/telegram: R Wrapper Around the Telegram Bot API

Package: telegram
Title: R Wrapper Around the Telegram Bot API
Version: 0.7.1

aws: AWS downloader

GITHUB

RajLabMSSM/downloadR: echoverse module: Single- and multi-threaded downloading functions

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

mtrl_genDataKdc: 根据配置表产生金蝶云固有字段并按行复制

GITHUB

takewiki/kdcmtrlpkg:

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

nse_subScramble: 测试取子集后随机排序

GITHUB

takewiki/tsdo: data objects in takewiki solutions

, condition)
Arguments
condition

aws: AWS for local constant models on a grid

GITHUB

neuroconductor-releases/aws: Adaptive Weights Smoothing

R: AWS for local constant models on a grid
awsR Documentation
AWS for local constant models on a grid

aws: AWS for local constant models on a grid

GITHUB

WIAS-BERLIN/aws: Adaptive Weights Smoothing

R: AWS for local constant models on a grid
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function