# FieldSimR

**FieldSimR** is an R package for simulating plot data in multi-environment field trials with one or more traits. Its core function generates plot errors that capture:

**spatial trend**,
**random error (noise)**, and
**extraneous variation**.

Spatial trend is simulated using bivariate interpolation or a separable first order autoregressive (AR1) process. Random error is simulated using an independent process. Extraneous variation is simulated using random or zig-zag ordering between neighbouring columns and/or rows. The three error components are combined at a user-defined ratio.

Phenotypes can be generated by combining the plot errors with genetic values (e.g., true, simulated, or predicted). **FieldSimR** provides wrapper functions to simulate correlated genetic values that capture genotype-by-environment (GxE) interaction with the R package AlphaSimR.

### Installation

FieldSimR is available on CRAN.

To install use:

`install.packages("FieldSimR")`

### Vignettes