View source: R/trim-pred-data.R
dh.trimPredData | R Documentation |
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.
dh.trimPredData(
pred = NULL,
coh_names = NULL,
age = "age",
min = NULL,
max = NULL
)
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'. |
'pred' is returned as a tibble with predicted values outside of 'min' and 'max' removed.
Other trajectory functions:
dh.lmeMultPoly()
,
dh.makeAgePolys()
,
dh.makeLmerForm()
,
dh.predictLmer()
,
dh.zByGroup()
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