View source: R/check_multimodal.R

check_multimodal | R Documentation |

For univariate distributions (one-dimensional vectors), this functions performs a Ameijeiras-Alonso et al. (2018) excess mass test. For multivariate distributions (data frames), it uses mixture modelling. However, it seems that it always returns a significant result (suggesting that the distribution is multimodal). A better method might be needed here.

```
check_multimodal(x, ...)
```

`x` |
A numeric vector or a data frame. |

`...` |
Arguments passed to or from other methods. |

Ameijeiras-Alonso, J., Crujeiras, R. M., and Rodríguez-Casal, A. (2019). Mode testing, critical bandwidth and excess mass. Test, 28(3), 900-919.

```
# Univariate
x <- rnorm(1000)
check_multimodal(x)
x <- c(rnorm(1000), rnorm(1000, 2))
check_multimodal(x)
# Multivariate
m <- data.frame(
x = rnorm(200),
y = rbeta(200, 2, 1)
)
plot(m$x, m$y)
check_multimodal(m)
m <- data.frame(
x = c(rnorm(100), rnorm(100, 4)),
y = c(rbeta(100, 2, 1), rbeta(100, 1, 4))
)
plot(m$x, m$y)
check_multimodal(m)
```

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