ds.corTest: Tests for correlation between paired samples
In datashield/dsStatsClient: DataSHIELD client site stattistical functions

Description Usage Arguments Details Value Author(s) Examples

This is similar to the R base function 'cor.test'.

1	ds.corTest(x = NULL, y = NULL, datasources = NULL)

`datasources`	a list of opal object(s) obtained after login in to opal servers; these objects hold also the data assign to R, as `dataframe`, from opal datasources.
`x`	a character, the name of a numerical vector
`y`	a character, the name of a numerical vector

Runs a two sided pearson test with a 0.95 confidence level.

a list containing the results of the test

Gaye, A.; Burton, P.

{

  # load that contains the login details
  data(logindata)

  # login and assign specific variable(s)
  # (by default the assigned dataset is a dataframe named 'D')
  myvar <- list('LAB_TSC', 'LAB_HDL')
  opals <- datashield.login(logins=logindata,assign=TRUE,variables=myvar)

  # test for correlation between the variables 'LAB_TSC' and 'LAB_HDL'
  ds.corTest(x='D$LAB_TSC', y='D$LAB_HDL')

  # clear the Datashield R sessions and logout
  datashield.logout(opals)

}