umx (version 1.9.1)

umx_cov2raw: Turn a cov matrix into raw data with umx_cov2raw

Description

Turns a covariance matrix into comparable raw data :-)

Usage

umx_cov2raw(myCovariance, n, means = 0)

Arguments

myCovariance

a covariance matrix

n

how many rows of data to return

means

the means of the raw data (defaults to 0)

Value

- data.frame

References

- http://tbates.github.io, https://github.com/tbates/umx

See Also

- cov2cor

Other Data Functions: umxCovData, umxFactor, umxHetCor, umxPadAndPruneForDefVars, umx_as_numeric, umx_cont_2_quantiles, umx_long2wide, 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_wide2long, umx

Examples

# NOT RUN {
covData <- matrix(nrow=6, ncol=6, byrow=TRUE, dimnames=list(paste0("v", 1:6), paste0("v", 1:6)),
data = c(0.9223099, 0.1862938, 0.4374359, 0.8959973, 0.9928430, 0.5320662,
           0.1862938, 0.2889364, 0.3927790, 0.3321639, 0.3371594, 0.4476898,
           0.4374359, 0.3927790, 1.0069552, 0.6918755, 0.7482155, 0.9013952,
           0.8959973, 0.3321639, 0.6918755, 1.8059956, 1.6142005, 0.8040448,
           0.9928430, 0.3371594, 0.7482155, 1.6142005, 1.9223567, 0.8777786,
           0.5320662, 0.4476898, 0.9013952, 0.8040448, 0.8777786, 1.3997558))
myData = umx_cov2raw(covData, n = 100, means = 1:6)
# }

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