umx (version 4.0.0)

xmu_twin_check: Check basic aspects of input for twin models.

Description

Check that DVs are in the data, that the data have rows, set the optimizer if requested.

Usage

xmu_twin_check(
  selDVs,
  dzData = dzData,
  mzData = mzData,
  sep = NULL,
  enforceSep = TRUE,
  nSib = 2,
  numObsMZ = NULL,
  numObsDZ = NULL,
  optimizer = NULL
)

Arguments

selDVs

Variables used in the data.

dzData

The DZ twin data.

mzData

The MZ twin data.

sep

Separator between base-name and numeric suffix when creating variable names, e.g. "_T"

enforceSep

Whether to require sep to be set, or just warn if it is not (Default = TRUE: enforce).

nSib

How many people per family? (Default = 2).

numObsMZ

set if data are not raw.

numObsDZ

set if data are not raw.

optimizer

Set by name (if you want to change it).

Value

None

References

• https://github.com/tbates/umx, https://tbates.github.io

See Also

Other xmu internal not for end user: umxModel(), umxRenameMatrix(), umxTwinMaker(), umx_APA_pval(), umx_fun_mean_sd(), umx_get_bracket_addresses(), umx_make(), umx_standardize(), umx_string_to_algebra(), umx, xmuHasSquareBrackets(), xmuLabel_MATRIX_Model(), xmuLabel_Matrix(), xmuLabel_RAM_Model(), xmuMI(), xmuMakeDeviationThresholdsMatrices(), xmuMakeOneHeadedPathsFromPathList(), xmuMakeTwoHeadedPathsFromPathList(), xmuMaxLevels(), xmuMinLevels(), xmuPropagateLabels(), xmuRAM2Ordinal(), xmuTwinSuper_Continuous(), xmuTwinUpgradeMeansToCovariateModel(), xmu_CI_merge(), xmu_CI_stash(), xmu_DF_to_mxData_TypeCov(), xmu_PadAndPruneForDefVars(), xmu_cell_is_on(), xmu_check_levels_identical(), xmu_check_needs_means(), xmu_check_variance(), xmu_clean_label(), xmu_data_missing(), xmu_data_swap_a_block(), xmu_describe_data_WLS(), xmu_dot_make_paths(), xmu_dot_make_residuals(), xmu_dot_maker(), xmu_dot_move_ranks(), xmu_dot_rank_str(), xmu_extract_column(), xmu_get_CI(), xmu_lavaan_process_group(), xmu_make_TwinSuperModel(), xmu_make_bin_cont_pair_data(), xmu_make_mxData(), xmu_match.arg(), xmu_name_from_lavaan_str(), xmu_path2twin(), xmu_path_regex(), xmu_safe_run_summary(), xmu_set_sep_from_suffix(), xmu_show_fit_or_comparison(), xmu_simplex_corner(), xmu_standardize_ACEcov(), xmu_standardize_ACEv(), xmu_standardize_ACE(), xmu_standardize_CP(), xmu_standardize_IP(), xmu_standardize_RAM(), xmu_standardize_SexLim(), xmu_standardize_Simplex(), xmu_start_value_list(), xmu_starts(), xmu_twin_add_WeightMatrices(), xmu_twin_get_var_names(), xmu_twin_upgrade_selDvs2SelVars()

Examples

# NOT RUN {
library(umx)
data(twinData)
mzData = subset(twinData, zygosity == "MZFF")
dzData = subset(twinData, zygosity == "MZFF")
xmu_twin_check(selDVs = c("wt", "ht"), dzData = dzData, mzData = mzData, 
	sep = "", enforceSep = TRUE)
xmu_twin_check(selDVs = c("wt", "ht"), dzData = dzData, mzData = mzData, 
	sep = "", enforceSep = FALSE)
xmu_twin_check(selDVs = c("wt", "ht"), dzData = dzData, mzData = mzData, 
	sep = "", enforceSep = TRUE, nSib = 2, optimizer = NULL)

# }
# NOT RUN {
# TODO xmu_twin_check: move to a test file:
# 1. stop on no rows
xmu_twin_check("Generativity", twinData[NULL,], twinData[NULL,], sep="_T")
# Error in xmu_twin_check("Generativity", twinData[NULL, ], twinData[NULL,  : 
#   Your DZ dataset has no rows!

# 2. Stop on a NULL sep  = NULL IFF enforceSep = TRUE
xmu_twin_check(selDVs = c("wt", "ht"), dzData = dzData, mzData = mzData, enforceSep = TRUE)
# 3. stop on a factor with sep = NULL
# }