Materias: “…R (Computer program language) Handbooks, manuals, etc…”

Materias:

“…Il décrit ensuite certaines conséquences du renforcement de l’intensité de R-D dans l’Union européenne, les niveaux de dépenses de R-D nécessaires pour que l’objectif en matière de R-D annoncé ..…”

“…Setting R&D spending targets based on R&D intensities (GERD as a share of GDP) has been a part of science and technology policy in many OECD countries for at least 35 years. …”

Materias: “…R (Computer program language)…”

Materias:

Tabla de Contenidos: “…R Programming Fundamentals: Deal with data using various modeling techniques…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright and Credits -- About Packt -- Contributors -- Table of Contents -- Preface -- Chapter 1: Getting Started with R and Statistics -- Introduction -- Technical requirements -- Maximum likelihood estimation -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Calculating densities, quantiles, and CDFs -- Getting ready -- How to do it... -- How it works... -- There's more... -- Creating barplots using ggplot -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Generating random numbers from multiple distributions -- Getting ready -- How to do it... -- How it works... -- There's more... -- Complex data processing with dplyr -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- 3D visualization with the plot3d package -- Getting ready -- How to do it... -- How it works... -- Formatting tabular data with the formattable package -- Getting ready -- How to do it... -- How it works... -- There's more... -- Simple random sampling -- Getting ready -- How to do it... -- How it works... -- Creating diagrams via the DiagrammeR package -- Getting ready -- How to do it... -- How it works... -- See also -- C++ in R via the Rcpp package -- Getting ready -- How to do it... -- How it works... -- See also -- Interactive plots with the ggplot GUI package -- Getting ready -- How to do it... -- How it works... -- There's more... -- Animations with the gganimate package -- Getting ready -- How to do it... -- How it works... -- See also -- Using R6 classes -- Getting ready -- How to do it... -- How it works... -- There's more... -- Modeling sequences with the TraMineR package -- Getting ready -- How to do it... -- How it works... -- There's more... -- Clustering sequences with the TraMineR package -- Getting ready -- How to do it…”

Tabla de Contenidos: “…Intro -- Copyright -- Table of Contents -- Preface -- Recipes -- Software and Platform Notes -- Conventions Used in This Book -- O'Reilly Safari -- How to Contact Us -- Acknowledgments -- Chapter 1. R Basics -- 1.1 Installing a Package -- Problem -- Solution -- Discussion -- 1.2 Loading a Package -- Problem -- Solution -- Discussion -- 1.3 Upgrading Packages -- Problem -- Solution -- Discussion -- 1.4 Loading a Delimited Text Data File -- Problem -- Solution -- Discussion -- See Also -- 1.5 Loading Data from an Excel File -- Problem -- Solution -- Discussion -- See Also -- 1.6 Loading Data from SPSS/SAS/Stata Files -- Problem -- Solution -- Discussion -- See Also -- 1.7 Chaining Functions Together with %&gt -- %, the Pipe Operator -- Problem -- Solution -- Discussion -- See Also -- Chapter 2. …”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright and Credits -- Packt Upsell -- Contributors -- Table of Contents -- Preface -- Chapter 1: Getting Started with Regression -- Going back to the origin of regression -- Regression in the real world -- Understanding regression concepts -- Regression versus correlation -- Discovering different types of regression -- The R environment -- Installing R -- Using precompiled binary distribution -- Installing on Windows -- Installing on macOS -- Installing on Linux -- Installation from source code -- RStudio -- R packages for regression -- The R stats package -- The car package -- The MASS package -- The caret package -- The glmnet package -- The sgd package -- The BLR package -- The Lars package -- Summary -- Chapter 2: Basic Concepts - Simple Linear Regression -- Association between variables - covariance and correlation -- Searching linear relationships -- Least squares regression -- Creating a linear regression model -- Statistical significance test -- Exploring model results -- Diagnostic plots -- Modeling a perfect linear association -- Summary -- Chapter 3: More Than Just One Predictor - MLR -- Multiple linear regression concepts -- Building a multiple linear regression model -- Multiple linear regression with categorical predictor -- Categorical variables -- Building a model -- Gradient Descent and linear regression -- Gradient Descent -- Stochastic Gradient Descent -- The sgd package -- Linear regression with SGD -- Polynomial regression -- Summary -- Chapter 4: When the Response Falls into Two Categories - Logistic Regression -- Understanding logistic regression -- The logit model -- Generalized Linear Model -- Simple logistic regression -- Multiple logistic regression -- Customer satisfaction analysis with the multiple logistic regression -- Multiple logistic regression with categorical data…”

Materias: “…R (Computer program language)…”

Materias: “…R (Computer program language)…”

Materias: “…R (Computer program language)…”

Tabla de Contenidos: “…Contents at a Glance; Introduction; Chapter 1: R Fundamentals; Downloading and Installing R; Getting Orientated; The R Console and Command Prompt; Functions; Objects; Simple Objects; Vectors; Data Frames; The Data Editor; Workspaces; Error Messages; Script Files; Summary; Chapter 2: Working with Data Files; Entering Data Directly; Importing Plain Text Files; CSV and Tab-Delimited Files; DIF Files; Other Plain Text Files; Importing Excel Files; Importing Files from Other Software; Using Relative File Paths; Exporting Datasets; Summary; Chapter 3: Preparing and Manipulating Your Data; Variables…”

“…Comprehensive, coherent, and practical, The Scrumban [R]Evolution will help you incrementally apply proven Lean/Agile principles to get what matters most: pragmatic, bottom-line results. …”

Tabla de Contenidos: “…Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Introducing Machine Learning; The origins of machine learning; Uses and abuses of machine learning; Machine learning successes; The limits of machine learning; Machine learning ethics; How machines learn; Data storage; Abstraction; Generalization; Evaluation; Machine learning in practice; Types of input data; Types of machine learning algorithms; Matching input data to algorithms; Machine learning with R; Installing R packages; Loading and unloading R packages; Summary…”

Materias: “…R (Computer program language)…”

Tabla de Contenidos:

Tabla de Contenidos: “…Part 1: Problem Scope -- Chapter 1: Fundamentals of Automated Trading -- Chapter 2: Networking Part I: Fetching Data -- Part 2: Building the Platform -- Chapter 3: Data Preparation -- Chapter 4: Indicators -- Chapter 5: Rule Sets -- Chapter 6: High-Performance Computing -- Chapter 7: Simulation and Backtesting -- Chapter 8: Optimization -- Chapter 9: Networking Part II -- Chapter 10: Organizing and Automating Scripts -- Part 3: Production Trading -- Chapter 11: Looking Forward -- Chapter 12: Appendix A: Source Code -- Chapter 13: Appendix B: Scoping in Multicore R -- …”

Tabla de Contenidos: “…Part 1: The tools of the trade -- R: what it does and how it does it -- Working with packages -- Getting graphic -- Part 2: Interacting with a user -- Working with a browser -- Dashboards--how dashing! …”