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convert a dataframe in an mxData object of type "cov"
umxCovData(df, columns = NA, use = c("complete.obs", "everything", "all.obs", "na.or.complete", "pairwise.complete.obs"))
the dataframe to covert to a covariance matrix
= manifests
= Default is "complete.obs"
- mxModel
mxModel
- https://github.com/tbates/umx, https://tbates.github.io
Other Data Functions: umxFactor, umxHetCor, umxPadAndPruneForDefVars, umx_as_numeric, umx_cont_2_quantiles, umx_cov2raw, umx_lower2full, umx_make_MR_data, umx_make_TwinData, umx_make_bin_cont_pair_data, umx_make_fake_data, umx_merge_CIs, umx_read_lower, umx_reorder, umx_residualize, umx_round, umx_scale_wide_twin_data, umx_scale, umx_swap_a_block, umx
umxFactor
umxHetCor
umxPadAndPruneForDefVars
umx_as_numeric
umx_cont_2_quantiles
umx_cov2raw
umx_lower2full
umx_make_MR_data
umx_make_TwinData
umx_make_bin_cont_pair_data
umx_make_fake_data
umx_merge_CIs
umx_read_lower
umx_reorder
umx_residualize
umx_round
umx_scale_wide_twin_data
umx_scale
umx_swap_a_block
umx
# NOT RUN { umxCovData(mtcars, c("mpg", "hp")) # }
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