# 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