R Language Definition
1 1 Introduction R is a system for statistical computation and graphics. It provides, among other things, a pro-gramming language, high level graphics, interfaces to other languages and debugging facilities.
Download R Language Definition
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document:
Advertisement
Documents from same domain
Package ‘segmented’ - R
cran.r-project.orgPackage ‘segmented’ November 30, 2017 Type Package Title Regression Models with Break-Points / Change-Points Estimation Version 0.5-3.0 Date 2017-11-22
gap: Genetic Analysis Package - R
cran.r-project.org2 gap: Genetic Analysis Package from patients su ering with di erent diseases to identify common genetic variations for each condition. It is hoped that by identifying these genetic signposts, researchers will
Package ‘season’ - R
cran.r-project.orgPackage ‘season’ May 20, 2018 Type Package Title Seasonal Analysis of Health Data Version 0.3.6 Author Adrian Barnett and Peter Baker Maintainer Adrian Barnett <a.barnett@qut.edu.au>
Package ‘medicalrisk’ - The Comprehensive R …
cran.r-project.orgPackage ‘medicalrisk’ ... 2016 Type Package Title Medical Risk and Comorbidity Tools for ICD-9-CM Data Version 1.2 Date 2016-01-23 Description Generates risk estimates and comorbidity flags from ICD-9-CM ... Adapting a clinical comorbidity index for use with ICD-9-CM administrative data: differing perspectives. Journal of clinical ...
Clinical, Packages, Adapting, Comorbidity, Adapting a clinical comorbidity, Package medicalrisk, Medicalrisk
Package ‘testthat’ - R
cran.r-project.orgPackage ‘testthat’ December 13, 2017 Title Unit Testing for R Version 2.0.0 Description Software testing is important, but, in part because it is
Package ‘forecast’ - The Comprehensive R Archive …
cran.r-project.orgPackage ‘forecast’ June 21, 2018 Version 8.4 Title Forecasting Functions for Time Series and Linear Models Description Methods and tools for displaying and analysing
Package ‘emma’ - R
cran.r-project.org2 emma-package Index 21 emma-package Designing experiments for process optimization Description The evolutionary model-based multiresponse approach (EMMA) is a procedure for process opti-
Package ‘WeibullR’ - cran.r-project.org
cran.r-project.orgPower" presentations in Appendix D of "The New Weibull Handbook, Fifth Edition". For validity of a 3rd parameter optimization on a given model over its 2 parameter fit, only the Likelihood Ratio Test will be applied. This validity check requires an LRT-P greater than 50 Value
Project, Handbook, Weibull, Nacr, The new weibull handbook, R project
Package ‘maps’ - R
cran.r-project.orgPackage ‘maps’ April 3, 2018 Title Draw Geographical Maps Version 3.3.0 Date 2018-04-03 Author Original S code by Richard A. Becker and Allan R. Wilks.
Package ‘psycho’ - The Comprehensive R Archive Network
cran.r-project.orgPackage ‘psycho’ September 13, 2018 Type Package Title Efficient and Publishing-Oriented Workflow for Psychological Science Version 0.3.7 Maintainer Dominique Makowski <dom.makowski@gmail.com>
Related documents
Item Reported No Checklist item on page No
www.consort-statement.orgTrial design 3a Description of trial design (such as parallel, factorial) including allocation ratio 3b Important changes to methods after trial commencement (such as eligibility criteria), with reasons Participants 4a Eligibility criteria for participants 4b Settings …
Computational Complexity: A Modern Approach
theory.cs.princeton.eduDRAFT About this book Computational complexity theory has developed rapidly in the past three decades. The list of surprising and fundamental results proved since 1990 alone could fill a book: these include new
Chapter 37 The LIFETEST Procedure
www.math.wpi.eduFor example, consider the results of a small randomized trial on rats. Suppose you assign forty rats exposed to a carcinogen into two treatment groups. The event of interest is death from cancer induced by the carcinogen. The response is the time from randomization to death. Four rats died of other causes; their survival times are
SUGI 27: Generating Randomization Schedules Using SAS(r ...
support.sas.comParallel designs are often used in phase II – phase IV clinical trials to compare the efficacy of a new drug to an active control group or placebo group. In our example, we assume that we need to generate a randomization schedule for a study with three arms (a new drug treatment, an active control treatment, and a placebo group).
Chapter 6 Randomized Block Design Two Factor ANOVA ...
www.ics.uci.eduRandomized Block Design Two Factor ANOVA Interaction in ANOVA. ... be parallel. Interaction: Differences in A depend on level of B. 50 60 70 80 Chemical mean of Ti me A1 A2 A3 Type Wood Gas However, looks like almost no overall A effect or B …