In isglobal-brge/dsExposomeClient: DataSHIELD client site Exposome functions

Most of the test done in exposome analysis requires that the exposures must follow a normal distribution. The function ds.normalityTest performs a test on each exposure for normality behaviour. The result is a data.frame with the exposures’ names, a flag TRUE/FALSE for normality and the p-value obtained from the Shapiro-Wilk Normality Test (if the p-value is under the threshold, then the exposure is not normal).

nm <- ds.normalityTest("exposome_object")
table(nm$server1$normality)

So, the exposures that do not follow a normal distribution are:

nm$server1$exposure[!nm$server1$normality]

The ds.normalityTest function has some extra input arguments to tune the normality test, check the function documentation for further information.

The exposures can be visualized using non-disclosive histograms to see their distribution along their Shapiro-Wilk Normality Test p-value.

ds.exposure_histogram("exposome_object", "AbsPM25")

If the selected exposure is not following a normal distribution, the function ds.exposure_histogram accepts the argument show.trans to visualize the raw data histogram plus three typical transformations (exp, log and sqrt), the Shapiro-Wilk Normality Test p-value is shown for all the transformations.

ds.exposure_histogram("exposome_object", "AbsPM25", TRUE)

isglobal-brge/dsExposomeClient documentation built on March 5, 2024, 12:26 p.m.