R Data Import/Export
1 Acknowledgements The relational databases part of this manual is based in part on an earlier manual by Douglas Bates and Saikat DebRoy. The principal author of this manual was Brian Ripley.
Download R Data Import/Export
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
Multivariate Analysis - National Chengchi University
csyue.nccu.edu.twMultivariate Analysis Dialog box items Variables: Choose the columns containing the variables to be included in the analysis. Number of components to compute: Enter the number of principal components to be extracted. If you do not specify the number of components and there are p variables selected, then p principal components will be extracted.
USING MINITAB: A SHORT GUIDE VIA EXAMPLES
www.math.yorku.caMINITAB capabilities nor a complete guide to all of the uses of MINITAB with this textbook, but is designed to hit the highlights and a few sticking points, so to speak, of the use of MINITAB for problems in the text, based on the Spring 1997 and Fall 1997 courses. For a brief dictionary of MINITAB …
Guide, Using, Example, Short, Minitab, Using minitab, A short guide via examples
Design of Experiments (DOE) - Minitab
support.minitab.comWWW.MINITAB.COM MINITAB ASSISTANT WHITE PAPER ... The DOE features in the Assistant guide users through a sequential process to design and analyze one or more experiments to identify the most important factors and find the factor settings that optimize a response. A sequential experimentation approach uses a set of smaller
Reporting Results of Common Descriptive and Inferential ...
www.bryanburnham.netthe exact p-value that is provided after running an inferential test in a software program (SPSS, R, Minitab), that is, the a posteriori probability that the result obtained or one more extreme is consistent with the null hypothesis. For example: t(28) = 2.99, SEM = 10.50, p = .0057.1 If you do report the a posteriori probability and the value is