The residual score indicates to what extent a person's phenotype risk score for a given disease deviates from the expected score, after adjusting for the person's characteristics in a linear model.

## Arguments

- demos
A data.table of characteristics for each person in the cohort. Must have column

`person_id`

.- scores
A data.table containing the phenotype risk score for each person for each disease. Must have columns

`person_id`

,`disease_id`

, and`score`

.- lmFormula
A formula representing the linear model to use for calculating residual scores. All terms in the formula must correspond to columns in

`demos`

.

## Value

A data.table, based on `scores`

, with an additional column
`resid_score`

. Residual scores for each disease are standardized to have
unit variance.

## Examples

```
library('data.table')
# map ICD codes to phecodes
phecodeOccurrences = getPhecodeOccurrences(icdSample)
# calculate weights (using the prevalence method)
weights = getWeights(demoSample, phecodeOccurrences)
# OMIM disease IDs for which to calculate phenotype risk scores
diseaseId = 154700
# map diseases to phecodes
diseasePhecodeMap = mapDiseaseToPhecode()
# calculate scores
scores = getScores(weights, diseasePhecodeMap[disease_id == diseaseId])
# calculate residual scores
rscores = getResidualScores(demoSample, scores, lmFormula = ~ sex)
```