ERA is in the process of being migrated to Scholaris, a Canadian shared institutional repository service (https://scholaris.ca). Deposits to existing ERA collections are frozen until migration is complete. Please contact erahelp@ualberta.ca for further assistance
- 521 views
- 8718 downloads
Conducting Monte Carlo Simulations in R
-
- Author(s) / Creator(s)
-
Both researchers and practitioners often use Monte Carlo simulations to answer a variety of research questions. Over the past decade, R (R Core Team 2019) has been one of the most popular programming languages for conducting Monte Carlo simulation studies. R (https://www.r-project.org/) is a free, open-source programming language for statistical computing and data visualization. Both built-in functions and many user-created packages in R allow researchers and practitioners to design and implement a very simple to very comprehensive simulation studies. This short book will explain the major steps in conducting Monte Carlo simulations using R.
-
- Date created
- 2020-02-21
-
- Subjects / Keywords
-
- Type of Item
- Book