BOOKS - PROGRAMMING - Introduction to R for Social Scientists
Introduction to R for Social Scientists - Ryan Kennedy, Philip D. Waggoner 2021 PDF CRC Press BOOKS PROGRAMMING
ECO~14 kg CO²

1 TON

Views
57688

Telegram
 
Introduction to R for Social Scientists
Author: Ryan Kennedy, Philip D. Waggoner
Year: 2021
Pages: 209
Format: PDF
File size: 10.1 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Introduction to R for Social Scientists
Social Scientists for Social Justice: Making the Case against Segregation (Critical America, 85)
Data Management for Social Scientists: From Files to Databases (Methodological Tools in the Social Sciences)
Programming with Python for Social Scientists
Programming with MATLAB for Scientists A Beginner’s Introduction
Feedback Systems: An Introduction for Scientists and Engineers
Feedback systems An introduction for scientists and engineers
An Introduction to PHP for Scientists and Engineers: Beyond JavaScript
Research Confidential: Solutions to Problems Most Social Scientists Pretend They Never Have
Text Analysis in Python for Social Scientists Discovery and Exploration
Noncooperative Game Theory: An Introduction for Engineers and Computer Scientists
Machine Learning with Neural Networks An Introduction for Scientists and Engineers
Introduction to Numerical and Analytical Methods with MATLAB for Engineers and Scientists
Machine Learning Toolbox for Social Scientists: Applied Predictive Analytics with R
Big Data Analysis Using Machine Learning for Social Scientists and Criminologists
Machine Learning Toolbox for Social Scientists Applied Predictive Analytics with R
Successful Academic Writing: A Complete Guide for Social and Behavioral Scientists
Introduction to Numerical Programming A Practical Guide for Scientists and Engineers Using Python and C/C++
Fiber Optic Sensors An Introduction for Engineers and Scientists, 3rd Edition
Introduction to Python for Engineers and Scientists: Open Source Solutions for Numerical Computation
Introduction to Social Research: Quantitative and Qualitative Approaches (Essential Resource Books for Social Research)
Disrupting Science: Social Movements, American Scientists, and the Politics of the Military, 1945-1975 (Princeton Studies in Cultural Sociology)
Python Tools for Scientists An Introduction to Using Anaconda, JupyterLab, and Python|s Scientific Libraries
Social Science: An Introduction
An Introduction to Critical Social Psychology
Data Mining for the Social Sciences An Introduction
Introduction to Quantitative Social Science with Python
Reassembling the Social: An Introduction to Actor-Network-Theory
Introduction to Social Work Practice: A Practical Workbook
Social Learning: An Introduction to Mechanisms, Methods, and Models
Linguistic Diversity and Social Justice: An Introduction to Applied Sociolinguistics
Trade-Offs: An Introduction to Economic Reasoning and Social Issues
Is Everyone Really Equal? An Introduction to Key Concepts in Social Justice Education, 2 edition
Metaverse and Immersive Technologies An Introduction to Industrial, Business and Social Applications
Complex Adaptive Systems: An Introduction to Computational Models of Social Life
Operations Research for Social Good A Practitioner’s Introduction Using SAS and Python
Metaverse and Immersive Technologies An Introduction to Industrial, Business and Social Applications
Small Places, Large Issues: An Introduction to Social and Cultural Anthropology
Operations Research for Social Good A Practitioner’s Introduction Using SAS and Python
An Introduction to Research, Analysis, and Writing: Practical Skills for Social Science Students