dh.trimPredData: Trims predicted values based on min and max values provided

In lifecycle-project/ds-helper: Helper Functions for Use with 'DataSHIELD'

Trims predicted values based on min and max values provided

Description

This is to be used in conjuncture with 'ds.predictLmer'. The new data frame used for prediction may contain age or time values not present in the original data. This allows you to remove all predicted values beyond a minimum and maximum age. This ensures that plots only show predict values over a range where there was actually data.

Usage

dh.trimPredData(
  pred = NULL,
  coh_names = NULL,
  age = "age",
  min = NULL,
  max = NULL
)

Arguments

pred	Tibble of predicted values returned by dh.predictLmer.
coh_names	Character Vector of cohort names corresponding to cohorts included in 'pred'.
age	Character specifying name of the age variable in 'pred'.
min	Vector of minimum values of age with length equal to number of cohorts in 'pred'.
max	Vector of maximum values of age with length equal to number of cohorts in 'pred'.

Value

'pred' is returned as a tibble with predicted values outside of 'min' and 'max' removed.

See Also

Other trajectory functions: dh.lmeMultPoly(), dh.makeAgePolys(), dh.makeLmerForm(), dh.predictLmer(), dh.zByGroup()

lifecycle-project/ds-helper documentation built on Oct. 27, 2023, 2:08 p.m.