On Classes of Realizable Operator-valued R-functions

2000 ◽  
pp. 85-112 ◽  
Author(s):  
S. V. Belyi ◽  
E. R. Tsekanovskii
Keyword(s):  
R Functions

Labor Markets and Migration

2017 ◽  
Author(s):  
Philip Martin
Keyword(s):  
Labor Markets ◽  
Labor Migration ◽  
Second Phase ◽  
Migration Process ◽  
And Migration ◽  
R Functions

Labor markets have the three R functions of recruiting workers, remunerating them to encourage them to perform their jobs satisfactorily, and retaining experienced and productive workers. Employers in one country and jobs in another complicate these three Rs, especially recruitment, which is why both employers and workers often turn to private recruiters to act as intermediaries between jobs and workers. Recruiters are most deeply involved in the second phase of the four-phase labor migration process—matching workers with jobs. Indeed, the fact that recruiters rarely visit the workplaces to which they send workers, and do not always expect to send more workers to particular employers, reduces their incentives to make good worker–job matches.

Odd BMO $${(\mathbb{R})}$$ Functions and Carleson Measures in the Bessel Setting

2010 ◽  
Vol 66 (4) ◽  
pp. 463-494 ◽  
Author(s):  
J. J. Betancor ◽  
A. Chicco Ruiz ◽  
J. C. Fariña ◽  
L. Rodríguez-Mesa
Keyword(s):  
Carleson Measures ◽  
R Functions

Practical R for biologists: an introduction

2021 ◽  
Keyword(s):  
Statistical Tests ◽  
Statistical Modelling ◽  
Biological Data ◽  
Early Years ◽  
Main Text ◽  
Biological Data Analysis ◽  
Base Functions ◽  
Almost All ◽  
Selection Of ◽  
R Functions

Abstract R is an open-source statistical environment modelled after the previously widely used commercial programs S and S-Plus, but in addition to powerful statistical analysis tools, it also provides powerful graphics outputs. In addition to its statistical and graphical capabilities, R is a programming language suitable for medium-sized projects. This book presents a set of studies that collectively represent almost all the R operations that beginners, analysing their own data up to perhaps the early years of doing a PhD, need. Although the chapters are organized around topics such as graphing, classical statistical tests, statistical modelling, mapping and text parsing, examples have been chosen based largely on real scientific studies at the appropriate level and within each the use of more R functions is nearly always covered than are simply necessary just to get a p-value or a graph. R comes with around a thousand base functions which are automatically installed when R is downloaded. This book covers the use of those of most relevance to biological data analysis, modelling and graphics. Throughout each chapter, the functions introduced and used in that chapter are summarized in Tool Boxes. The book also shows the user how to adapt and write their own code and functions. A selection of base functions relevant to graphics that are not necessarily covered in the main text are described in Appendix 1, and additional housekeeping functions in Appendix 2.

C r -Functions

1970 ◽  
pp. 559-567
Author(s):  
H. B. Griffiths ◽  
P. J. Hilton
Keyword(s):  
R Functions
Sign in / Sign up

Export Citation Format

Share Document