Validates the schema of a links for pairs of relatives

Source: R/validate-pair-links.R

A helper function that verifies the linking dataset contains (A) the essential columns exist, and (B) at least one row. It is called by CreatePairLinks.

Typical use of NlsyLinks will not require this function, since a valid paired links are supplied for each supported sample (ie, Links79Pair).

The NlsyLinks uses several types of linking schemas. This function validates the type where each relative subject has their own row.

The following four columns must be present: (1) Subect1Tag, (2) Subect2Tag, (3) R, and (4) MultipleBirth. They must have a numeric mode/datatype.

ValidatePairLinks(linksPair)

Arguments

linksPair

The base::data.frame to validate.

Value

Returns TRUE if the validation passes. Returns an error (and associated descriptive message) if it false.

See also

Links79Pair, Links79PairExpanded,

Examples

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

#>   SubjectTag_S1 SubjectTag_S2 ExtendedID    R RelationshipPath DV1_S1 DV2_S1
#> 1           101           102          1 0.50     Gen2Siblings     11     21
#> 2           101           103          1 0.25     Gen2Siblings     11     21
#> 3           102           103          1 0.25     Gen2Siblings     12     22
#> 4           201           202          2 0.50     Gen2Siblings     41     51
#> 5           102           101          1 0.50     Gen2Siblings     12     22
#> 6           103           101          1 0.25     Gen2Siblings     13     23
#> 7           103           102          1 0.25     Gen2Siblings     13     23
#> 8           202           201          2 0.50     Gen2Siblings     42     52
#>   DV1_S2 DV2_S2
#> 1     12     22
#> 2     13     23
#> 3     13     23
#> 4     42     52
#> 5     11     21
#> 6     11     21
#> 7     12     22
#> 8     41     51
summary(dsDouble) #Summarize the variables

#>  SubjectTag_S1   SubjectTag_S2     ExtendedID         R        
#>  Min.   :101.0   Min.   :101.0   Min.   :1.00   Min.   :0.250  
#>  1st Qu.:101.8   1st Qu.:101.8   1st Qu.:1.00   1st Qu.:0.250  
#>  Median :102.5   Median :102.5   Median :1.00   Median :0.375  
#>  Mean   :126.9   Mean   :126.9   Mean   :1.25   Mean   :0.375  
#>  3rd Qu.:127.5   3rd Qu.:127.5   3rd Qu.:1.25   3rd Qu.:0.500  
#>  Max.   :202.0   Max.   :202.0   Max.   :2.00   Max.   :0.500  
#>  RelationshipPath       DV1_S1          DV2_S1          DV1_S2     
#>  Length:8           Min.   :11.00   Min.   :21.00   Min.   :11.00  
#>  Class :character   1st Qu.:11.75   1st Qu.:21.75   1st Qu.:11.75  
#>  Mode  :character   Median :12.50   Median :22.50   Median :12.50  
#>                     Mean   :19.38   Mean   :29.38   Mean   :19.38  
#>                     3rd Qu.:20.00   3rd Qu.:30.00   3rd Qu.:20.00  
#>                     Max.   :42.00   Max.   :52.00   Max.   :42.00  
#>      DV2_S2     
#>  Min.   :21.00  
#>  1st Qu.:21.75  
#>  Median :22.50  
#>  Mean   :29.38  
#>  3rd Qu.:30.00  
#>  Max.   :52.00  

ValidatePairLinksAreSymmetric(dsDouble) #Should return TRUE.

#> [1] TRUE