ValidatePairLinksAreSymmetric: Verifies that the pair relationships are symmetric.
In NlsyLinks: Utilities and kinship information for research with the NLSY

Description Usage Arguments Value Author(s) See Also Examples

For certain analyses, the pairs links (which can be considered a type of sparse matrix) need to be symmetric. For instance, if there is a row for Subjects 201 and 202 with R=0.5, there should be a second row for Subjects 202 and 201 with R=0.5.

This validation function is useful to some types of DF methods and some spatially-inspired methods.

1	ValidatePairLinksAreSymmetric(linksPair)

linksPair

The data.frame object that should be symmetric

Returns TRUE if symmetric. Throw an error with stop if asymmetric.

Will Beasley

CreatePairLinksDoubleEntered

dsSingleLinks <- data.frame(
  ExtendedID=c(1, 1, 1, 2),
  SubjectTag_S1=c(101, 101, 102, 201),
  SubjectTag_S2=c(102, 103, 103, 202),
  R=c(.5, .25, .25, .5),
  RelationshipPath=rep("Gen2Siblings", 4)
)
dsSingleOutcomes <- data.frame(
  SubjectTag=c(101, 102, 103, 201, 202),
  DV1=c(11, 12, 13, 41, 42),
  DV2=c(21, 22, 23, 51, 52))
dsDouble <- CreatePairLinksDoubleEntered(
  outcomeDataset=dsSingleOutcomes,
  linksPairDataset=dsSingleLinks,
  outcomeNames=c("DV1", "DV2"),
  validateOutcomeDataset=TRUE)
dsDouble #Show the 8 rows in the double-entered pair links
summary(dsDouble) #Summarize the variables

ValidatePairLinksAreSymmetric(dsDouble) #Should return TRUE.