| xmu_PadAndPruneForDefVars {umx} | R Documentation |
Where all data are missing for a twin, add default values for definition variables, allowing the row to be kept
Description
Replaces NAs in definition slots with the mean for that variable ONLY where all data are missing for that twin.
Usage
xmu_PadAndPruneForDefVars(
df,
varNames,
defNames,
suffixes,
highDefValue = 99,
rm = c("drop_missing_def", "pad_with_mean")
)
Arguments
df |
The dataframe to process |
varNames |
list of names of the variables being analysed |
defNames |
list of covariates |
suffixes |
that map names on columns in df (i.e., c("T1", "T2")) |
highDefValue |
What to replace missing definition variables (covariates) with. Default = 99 |
rm |
= how to handle missing values in the varNames. Default is "drop_missing_def", "pad_with_mean") |
Value
dataframe
See Also
Other xmu internal not for end user:
umxModel(),
umxRenameMatrix(),
umx_APA_pval(),
umx_fun_mean_sd(),
umx_get_bracket_addresses(),
umx_make(),
umx_standardize(),
umx_string_to_algebra(),
xmuHasSquareBrackets(),
xmuLabel_MATRIX_Model(),
xmuLabel_Matrix(),
xmuLabel_RAM_Model(),
xmuMI(),
xmuMakeDeviationThresholdsMatrices(),
xmuMakeOneHeadedPathsFromPathList(),
xmuMakeTwoHeadedPathsFromPathList(),
xmuMaxLevels(),
xmuMinLevels(),
xmuPropagateLabels(),
xmuRAM2Ordinal(),
xmuTwinSuper_Continuous(),
xmuTwinSuper_NoBinary(),
xmuTwinUpgradeMeansToCovariateModel(),
xmu_CI_merge(),
xmu_CI_stash(),
xmu_DF_to_mxData_TypeCov(),
xmu_bracket_address2rclabel(),
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_print_algebras(),
xmu_rclabel_2_bracket_address(),
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_summary_RAM_group_parameters(),
xmu_twin_add_WeightMatrices(),
xmu_twin_check(),
xmu_twin_get_var_names(),
xmu_twin_make_def_means_mats_and_alg(),
xmu_twin_upgrade_selDvs2SelVars()
Examples
## Not run:
data(twinData)
sum(is.na(twinData$ht1))
df = xmu_PadAndPruneForDefVars(twinData, varNames = "ht", defNames = "wt", c("1", "2"))
## End(Not run)