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Apply a function to each element in an scdf.

Source: R/batch_apply.R
batch_apply.Rd

This function applies a given function to each case of a multiple case scdf, returning a list of the output of each function call.

Usage

batch_apply(scdf, fn, simplify = FALSE)

Arguments

scdf

A list of inputs to apply the function to.

fn

The function to apply to each element. Use a . as a placeholder for the scdf (e.g. describe(.)).

simplify

If simplify is TRUE and fn returns a vector of values, batch_apply will return a data frame case names.

Value

A list of the output of each function call.

Details

If simplify is TRUE and the function returns a vector of values, the output is combined into a data frame with case names as additional columns.

This is particularly useful for applying statistical models or summary statistics to each case in an scdf.

See also

Other data manipulation functions: add_l2(), as.data.frame.scdf(), as_scdf(), fill_missing(), moving_median(), print.sc_outlier(), ranks(), rescale(), scdf(), select_cases(), set_vars(), shift(), smooth_cases(), standardize(), truncate_phase()

Author

Juergen Wilbert

Examples

batch_apply(exampleAB, coef(plm(.)))
#> $Johanna
#>              Estimate Std. Error     t value     Pr(>|t|)
#> (Intercept) 54.400000   3.889690 13.98569074 2.173001e-10
#> mt           0.100000   1.587959  0.06297391 9.505673e-01
#> phaseB       7.858333   5.816499  1.35104178 1.954791e-01
#> interB       1.525000   1.616067  0.94364905 3.593813e-01
#> 
#> $Karolina
#>               Estimate Std. Error    t value     Pr(>|t|)
#> (Intercept) 49.0000000   4.098328 11.9560945 2.169640e-09
#> mt           1.4000000   1.673136  0.8367523 4.150550e-01
#> phaseB       3.8916667   6.128489  0.6350124 5.343967e-01
#> interB       0.5392857   1.702751  0.3167144 7.555551e-01
#> 
#> $Anja
#>             Estimate Std. Error    t value     Pr(>|t|)
#> (Intercept) 56.40000   4.250294 13.2696700 4.729808e-10
#> mt          -1.40000   1.735175 -0.8068349 4.315923e-01
#> phaseB      16.96667   6.355733  2.6695057 1.678721e-02
#> interB       2.50000   1.765889  1.4157177 1.760295e-01
#>