© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022
N. Gürsakal et al.Synthetic Data for Deep Learning https://doi.org/10.1007/978-1-4842-8587-9_4

4. Synthetic Data Generation with R

Necmi Gürsakal1  , Sadullah Çelik2 and Esma Birişçi2
(1)
Bursa, Turkey
(2)
Aydın, Turkey
 

In this chapter, we will explore how to generate synthetic data using the R programming language. We’ll start by looking at some of the basic functions used to generate synthetic data. Next, we’ll look at how to construct a value vector from a known univariate distribution. Next, we’ll look at how to construct a vector from a multi-level categorical variable. We will look at how to build a neural network in R using the nnet package. We will give ...

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