Description Usage Arguments Details Value Examples

`correlation_threshold`

returns list of variables such that no two variables have a correlation greater than a specified threshold.

1 | ```
correlation_threshold(variables, sample, cutoff = 0.9, method = "pearson")
``` |

`variables` |
character vector specifying observation variables. |

`sample` |
tbl containing sample used to estimate parameters. |

`cutoff` |
threshold between [0,1] that defines the minimum correlation of a selected feature. |

`method` |
optional character string specifying method for calculating correlation. This must be one of the strings |

`correlation_threshold`

is a wrapper for `caret::findCorrelation`

.

character vector specifying observation variables to be excluded.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | ```
suppressMessages(suppressWarnings(library(magrittr)))
sample <- tibble::data_frame(
x = rnorm(30),
y = rnorm(30)/1000
)
sample %<>% dplyr::mutate(z = x + rnorm(30) / 10)
variables <- c("x", "y", "z")
head(sample)
cor(sample)
# `x` and `z` are highly correlated; one of them will be removed
correlation_threshold(variables, sample)
``` |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.