Inspect differences within a single GADSdat or between two GADSdat objects for a specific variable.
Arguments
- GADSdat
A
GADSdatobject.- varName
A character vector of length 1 containing the variable name.
- other_GADSdat
A second
GADSdatobject. If omitted, it is assumed that both variables are part of the firstGADSdat.- other_varName
A character vector of length 1 containing the other variable name. If omitted, it is assumed that both variables have identical names (as supplied in
varName).- id
A character vector of length 1 containing the unique identifier column of both
GADSdat.
Details
Two GADSdat objects can be compared using equalGADS.
If differences in the data for specific variables in the two objects occur,
these variables can be further inspected using inspectDifferences.
Differences on meta data-level can be inspected via inspectMetaDifferences.
Examples
# create a second GADS with different data
pisa2 <- pisa
pisa2$dat$age[400:nrow(pisa$dat)] <- sample(pisa2$dat$age[400:nrow(pisa$dat)])
# inspect via equalGADS()
equalGADS(pisa, pisa2)
#> $names_not_in_1
#> character(0)
#>
#> $names_not_in_2
#> character(0)
#>
#> $data_differences
#> [1] "age"
#>
#> $data_nrow
#> [1] "all.equal"
#>
#> $meta_data_differences
#> character(0)
#>
# inspect via inspectDifferences()
inspectDifferences(GADSdat = pisa, varName = "age", other_GADSdat = pisa2, id = "idstud")
#> $cross_table
#> other_GADSdat
#> GADSdat 13.92 14 14.42 14.5 14.58 14.67 14.75 14.83 14.92 15 15.08 15.17 15.25
#> 13.92 1 0 0 0 0 0 0 0 0 0 0 0 0
#> 14 0 1 0 0 0 0 0 0 0 0 0 0 0
#> 14.42 0 0 1 0 0 0 0 0 0 0 0 0 0
#> 14.5 0 0 0 2 0 0 0 0 0 0 0 0 0
#> 14.58 0 0 0 0 8 0 0 1 1 0 0 0 0
#> 14.67 0 0 0 0 0 7 0 0 0 0 0 0 0
#> 14.75 0 0 0 0 0 0 10 0 0 1 0 0 0
#> 14.83 0 0 0 0 0 0 0 12 0 0 1 0 1
#> 14.92 0 0 0 0 0 0 0 0 27 0 0 1 0
#> 15 0 0 0 0 0 0 0 0 0 31 0 0 0
#> 15.08 0 0 0 0 0 0 0 0 0 0 21 1 0
#> 15.17 0 0 0 0 0 0 0 0 0 0 0 31 0
#> 15.25 0 0 0 0 1 0 0 0 0 1 1 1 17
#> 15.33 0 0 0 0 0 0 0 1 1 0 1 1 1
#> 15.42 0 0 0 0 0 0 0 0 0 1 0 0 0
#> 15.5 0 0 0 0 0 0 0 1 0 1 0 0 1
#> 15.58 0 0 0 0 0 0 1 0 0 0 0 1 0
#> 15.67 0 0 0 0 0 0 0 0 1 0 0 1 0
#> 15.75 0 0 0 0 0 0 1 1 1 0 0 0 0
#> 15.83 0 0 0 0 1 0 1 0 0 0 0 0 0
#> 15.92 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 16 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 16.08 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 16.17 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 16.25 0 0 0 0 0 0 0 0 0 1 0 0 1
#> 16.33 0 0 0 0 0 0 0 0 0 0 0 1 1
#> other_GADSdat
#> GADSdat 15.33 15.42 15.5 15.58 15.67 15.75 15.83 15.92 16 16.08 16.17 16.25
#> 13.92 0 0 0 0 0 0 0 0 0 0 0 0
#> 14 0 0 0 0 0 0 0 0 0 0 0 0
#> 14.42 0 0 0 0 0 0 0 0 0 0 0 0
#> 14.5 0 0 0 0 0 0 0 0 0 0 0 0
#> 14.58 0 0 0 0 0 0 0 0 0 0 0 0
#> 14.67 0 0 0 0 0 0 0 0 0 0 0 0
#> 14.75 0 1 0 1 0 0 0 0 0 0 0 0
#> 14.83 0 0 1 0 0 0 0 0 1 0 0 0
#> 14.92 0 2 0 0 0 0 1 0 0 0 0 0
#> 15 0 0 1 2 0 1 0 0 0 1 0 0
#> 15.08 0 0 0 0 0 2 0 0 0 0 0 0
#> 15.17 0 1 1 1 1 0 2 1 0 0 0 0
#> 15.25 1 0 0 0 0 0 0 0 0 0 0 0
#> 15.33 20 0 1 0 0 0 0 1 0 0 0 1
#> 15.42 1 28 1 0 0 1 0 0 0 0 1 0
#> 15.5 1 1 35 1 1 0 1 0 0 0 0 0
#> 15.58 1 0 1 24 2 0 0 0 0 0 0 0
#> 15.67 0 0 1 1 24 2 0 0 1 0 0 0
#> 15.75 2 0 0 0 1 20 0 0 0 1 0 0
#> 15.83 0 0 0 0 0 1 23 0 1 0 0 1
#> 15.92 0 0 1 0 0 0 0 10 0 0 0 1
#> 16 1 0 0 0 1 0 1 0 7 0 0 0
#> 16.08 0 0 0 1 0 0 0 0 0 3 0 0
#> 16.17 1 0 0 0 0 0 0 0 0 0 7 0
#> 16.25 1 0 0 0 0 0 0 0 0 0 0 0
#> 16.33 0 0 0 0 1 1 0 0 0 0 0 0
#> other_GADSdat
#> GADSdat 16.33
#> 13.92 0
#> 14 0
#> 14.42 0
#> 14.5 0
#> 14.58 0
#> 14.67 0
#> 14.75 0
#> 14.83 0
#> 14.92 0
#> 15 0
#> 15.08 0
#> 15.17 0
#> 15.25 0
#> 15.33 1
#> 15.42 0
#> 15.5 0
#> 15.58 1
#> 15.67 0
#> 15.75 1
#> 15.83 0
#> 15.92 0
#> 16 0
#> 16.08 1
#> 16.17 0
#> 16.25 0
#> 16.33 33
#>
#> $unequal_IDs
#> [1] 402 403 404 405 406 407 408 409 410 411 412 413 414 416 417 418 419 420 421
#> [20] 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440
#> [39] 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459
#> [58] 460 461 462 463 464 466 467 468 469 470 471 472 473 474 475 476 477 478 479
#> [77] 480 481 482 483 485 486 487 488 489 490 492 493 494 495 496 497 498 499 500
#> [96] 501 502
#>