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
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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
Boolean. Whether to mirror the selected columns in the rows or not.
Use focus_ to do standard evaluations. See
A tbl or, if mirror = TRUE, a cor_df (see
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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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