Description Usage Arguments Value Examples

Convenience function to select a set of variables from a correlation matrix
to keep as the columns, and exclude these or all other variables from the rows. This
function will take a `correlate`

correlation matrix, and
expression(s) suited for dplyr::select(). The selected variables will remain
in the columns, and these, or all other variables, will be excluded from the
rows based on '`same`

. For a complete list of methods for using this
function, see `select`

.

1 2 3 |

`x` |
cor_df. See |

`...` |
One or more unquoted expressions separated by commas.
You can treat variable names like they are positions, so you can
use expressions like Positive values select variables; negative values drop variables.
If the first expression is negative, Use named arguments, e.g. The arguments in See select helpers for more details and
examples about tidyselect helpers such as |

`mirror` |
Boolean. Whether to mirror the selected columns in the rows or not. |

`.dots` |
Use focus_ to do standard evaluations. See |

A tbl or, if mirror = TRUE, a cor_df (see `correlate`

).

1 2 3 4 5 6 7 8 | ```
library(dplyr)
x <- correlate(mtcars)
focus(x, mpg, cyl) # Focus on correlations of mpg and cyl with all other variables
focus(x, -disp, - mpg, mirror = TRUE) # Remove disp and mpg from columns and rows
x <- correlate(iris[-5])
focus(x, -matches("Sepal")) # Focus on correlations of non-Sepal
# variables with Sepal variables.
``` |

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