| xmu_check_needs_means {umx} | R Documentation |
Check data to see if model needs means.
Description
Check data to see if model needs means.
Usage
xmu_check_needs_means(
data,
type = c("Auto", "FIML", "cov", "cor", "WLS", "DWLS", "ULS"),
allContinuousMethod = c("cumulants", "marginals")
)
Arguments
data |
|
type |
of the data requested by the model. |
allContinuousMethod |
How data will be processed if used for WLS. |
Value
T/F
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_PadAndPruneForDefVars(),
xmu_bracket_address2rclabel(),
xmu_cell_is_on(),
xmu_check_levels_identical(),
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
xmu_check_needs_means(mtcars, type = "Auto")
xmu_check_needs_means(mtcars, type = "FIML")
# xmu_check_needs_means(mtcars, type = "cov")
# xmu_check_needs_means(mtcars, type = "cor")
# TRUE - marginals means means
xmu_check_needs_means(mtcars, type = "WLS", allContinuousMethod= "marginals")
xmu_check_needs_means(mtcars, type = "ULS", allContinuousMethod= "marginals")
xmu_check_needs_means(mtcars, type = "DWLS", allContinuousMethod= "marginals")
# ================================
# = Provided as an mxData object =
# ================================
tmp = mxData(mtcars, type="raw")
xmu_check_needs_means(tmp, type = "FIML") # TRUE
xmu_check_needs_means(tmp, type = "ULS", allContinuousMethod= "cumulants") #FALSE
# TRUE - means with marginals
xmu_check_needs_means(tmp, type = "WLS", allContinuousMethod= "marginals")
tmp = mxData(cov(mtcars), type="cov", numObs= 100)
# Should catch this can't be type FIML
xmu_check_needs_means(tmp) # FALSE
tmp = mxData(cov(mtcars), means = umx_means(mtcars), type="cov", numObs= 100)
xmu_check_needs_means(tmp) # TRUE
# =======================
# = One var is a factor =
# =======================
tmp = mtcars
tmp$cyl = factor(tmp$cyl)
xmu_check_needs_means(tmp, allContinuousMethod= "cumulants") # TRUE
xmu_check_needs_means(tmp, allContinuousMethod= "marginals") # TRUE - always has means