`R/CompareCohorts.R`

`computeStandardizedDifference.Rd`

Computes the standardized difference for all covariates between two cohorts. The standardized difference is defined as the difference between the mean divided by the overall standard deviation.

```
computeStandardizedDifference(
covariateData1,
covariateData2,
cohortId1 = NULL,
cohortId2 = NULL
)
```

- covariateData1
The covariate data of the first cohort. Needs to be in aggregated format.

- covariateData2
The covariate data of the second cohort. Needs to be in aggregated format.

- cohortId1
If provided,

`covariateData1`

will be restricted to this cohort. If not provided,`covariateData1`

is assumed to contain data on only 1 cohort.- cohortId2
If provided,

`covariateData2`

will be restricted to this cohort. If not provided,`covariateData2`

is assumed to contain data on only 1 cohort.

A data frame with means and standard deviations per cohort as well as the standardized difference of mean.

```
# \donttest{
binaryCovDataFile <- system.file("testdata/binaryCovariateData.zip",
package = "FeatureExtraction"
)
covariateData1 <- loadCovariateData(binaryCovDataFile)
covariateData2 <- loadCovariateData(binaryCovDataFile)
covDataDiff <- computeStandardizedDifference(
covariateData1,
covariateData2,
cohortId1 = 1,
cohortId2 = 2
)
# }
```