com: com

GITHUB

jfq3/QsNullModels: My null model functions

R: com
comR Documentation
com

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

com: Return complementary nucleotide

GITHUB

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

complementary nucleotide
Usage
com(x)

com: Taxa abundances for all surveys

GITHUB

RodolfoPelinson/PredatorIsolationComm: Data Analysis of Pelinson et al 2020

containing the abundances of the taxa that were present in more than three observations in all surveys.
Usage
com

com: Grand Paris Metropole Communes Data

GITHUB

riatelab/MTA: Multiscalar Territorial Analysis

/nos-travaux/composition-12-territoires-metropole-grand-paris
Examples
library(sf)

com: Community

GITHUB

sylvainschmitt/Paracou: Paracou data set analysis

R: Community
comR Documentation
Community

com: command prompt

GITHUB

yorickuser/simevol: Simulator for adaptive evolution.

: false, macros }); }
return;
comR Documentation

com: Wrapper for coxph

GITHUB

lujunyan1118/jyluMisc: Handy functions for CLL project

function from survival package
Usage
com(response, time, endpoint, scale = FALSE)

COM: Comoros

GITHUB

covid19datahub/COVID19dev: COVID-19 Data Hub

, macros }); }
return;
COMR Documentation

CoM: Objectively quantify and visualise phases and calculate

CRAN

phase: Analyse Biological Time-Series Data

CoM(
input,
data = "Activity",

com: Prediction with 'lmer' objects

GITHUB

gmonette/spida: Collection of miscellaneous functions for mixed models etc. prepared for SPIDA 2009+ (development version)

R: Prediction with 'lmer' objects
comR Documentation
Prediction with 'lmer' objects

com: Prediction with 'lmer' objects

GITHUB

gmonette/spida15: Collection of miscellaneous functions for mixed models etc. prepared for SPIDA 2009+ (development version)

R: Prediction with 'lmer' objects
comR Documentation
Prediction with 'lmer' objects

com: Center of Mass

CRAN

bio3d: Biological Structure Analysis

object.
Usage
com(...)

com: Grand Paris Metropole Communes Data

CRAN

MTA: Multiscalar Territorial Analysis

/nos-travaux/composition-12-territoires-metropole-grand-paris
Examples
library(sf)

com: Taxa abundances for all surveys

GITHUB

RodolfoPelinson/pelinson.et.al.2020: Data Analysis of Pelinson et al 2020

containing the abundances of the taxa that were present in more than three observations in all surveys.
Usage
com

deal_CheckOn: 处理网商考勤数据

GITHUB

takewiki/nshr_pkg:

R: 处理网商考勤数据
deal_CheckOnR Documentation
处理网商考勤数据

vector_col_del: 处理替代数据

GITHUB

takewiki/tsdo: data objects in takewiki solutions

R: 处理替代数据
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {

add_exam_year: 增加考试年份到 examyear 字段

GITHUB

Gabegit/gmExam: create a testbank from markdown files, make test paper

R: 增加考试年份到 examyear 字段
add_exam_yearR Documentation
增加考试年份到 examyear 字段

README.md:

GITHUB

swsoyee/rPackageTutorial: Create R Package In A Professional Way Tutorial

过于详细，没有花上个把两天是很难体验到全流程的。
因此，本文的主要目的就是用最短的时间，用专业的（自称）方式创建一个高逼格的 R 包并且托管在 GitHub 上。
也因此，会对很多局部的细节不做过多的讲解，先把流程跑通，对全流程有个大致的

README.Rmd:

GITHUB

swsoyee/rPackageTutorial: Create R Package In A Professional Way Tutorial

且托管在 GitHub 上。
也因此，会对很多局部的细节不做过多的讲解，先把流程跑通，对全流程有个大致的理解后，想了解细节时再去做具体调查即可。
## 2. 准备工作