Evaluate tfs inside a data.frame

Evaluate tfs inside a data.frame

Usage

# S3 method for class 'data.frame'
tf_evaluate(object, ..., arg)

Arguments

object

a data.frame-like object with tf columns.

...

optional: a selection of tf-columns. If empty, all tf-variables in the data frame are selected. You can supply bare variable names, select all variables between x and z with x:z, exclude y with -y. For more options, see the dplyr::select() documentation.

arg

optional evaluation grid (vector or list of vectors). Defaults to tf_arg(object).

Value

Replaces tf-columns with list columns of smaller data.frames containing the functions' arguments (arg) and evaluations (value) and returns the modified nested dataframe.

Details

The arg-argument of tf_evaluate.data.frame method can be a list of arg-vectors or -lists used as the arg argument for the tf::tf_evaluate()-method for the respective tf-columns in object. ... is not used for a tf-object, but a second unnamed argument to these methods will be interpreted as arg.

See also

Other tidyfun data wrangling functions: tf_gather(), tf_nest(), tf_spread(), tf_unnest()

Examples

d <- dplyr::tibble(id = 1:3)
d$f <- tf_rgp(3, 11L)
str(tf_evaluate(d))
#> tibble [3 × 2] (S3: tbl_df/tbl/data.frame)
#>  $ id: int [1:3] 1 2 3
#>  $ f :List of 3
#>   ..$ 1:'data.frame':	11 obs. of  2 variables:
#>   .. ..$ arg  : num [1:11] 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 ...
#>   .. ..$ value: num [1:11] 1.372 1.509 1.301 0.705 0.216 ...
#>   ..$ 2:'data.frame':	11 obs. of  2 variables:
#>   .. ..$ arg  : num [1:11] 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 ...
#>   .. ..$ value: num [1:11] 0.352 0.432 -0.216 -1.086 -1.545 ...
#>   ..$ 3:'data.frame':	11 obs. of  2 variables:
#>   .. ..$ arg  : num [1:11] 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 ...
#>   .. ..$ value: num [1:11] -1.054 -1.062 -0.899 -0.646 -0.322 ...