umx_lower2full | R Documentation |
Takes a vector of the lower-triangle of cells in a matrix as you might read-in from a journal article), OR a matrix (for instance from a "lower" [mxMatrix()], and returns a full matrix, copying the lower triangle into the upper.
umx_lower2full(lower.data, diag = NULL, byrow = TRUE, dimnames = NULL)
lower.data |
An [mxMatrix()] |
diag |
A boolean specifying whether the lower.data includes the diagonal |
byrow |
Whether the matrix is to be filled by row or by column (default = TRUE) |
dimnames |
Optional dimnames for the matrix (defaults to NULL) |
*note*: Can also take lower data presented in the form of a data.frame. Note also, if presented with a full matrix, the function will return a matrix with symmetry enforced. Can be handy when you have a "nearly-symmetrical" matrix (with differences in the tenth decimal place).
- [mxMatrix()]
- <https://github.com/tbates/umx>
Other Data Functions:
noNAs()
,
prolific_anonymize()
,
prolific_check_ID()
,
prolific_read_demog()
,
umxFactor()
,
umxHetCor()
,
umx_as_numeric()
,
umx_cont_2_quantiles()
,
umx_make_MR_data()
,
umx_make_TwinData()
,
umx_make_fake_data()
,
umx_make_raw_from_cov()
,
umx_merge_randomized_columns()
,
umx_polychoric()
,
umx_polypairwise()
,
umx_polytriowise()
,
umx_read_lower()
,
umx_rename()
,
umx_reorder()
,
umx_score_scale()
,
umx_select_valid()
,
umx_stack()
,
umx_strings2numeric()
,
umx
# 1. Test with a vector in byrow = TRUE order)
tmp = c(
1.0000,
0.6247, 1.0000,
0.3269, 0.3669, 1.0000,
0.4216, 0.3275, 0.6404, 1.0000,
0.2137, 0.2742, 0.1124, 0.0839, 1.0000,
0.4105, 0.4043, 0.2903, 0.2598, 0.1839, 1.0000,
0.3240, 0.4047, 0.3054, 0.2786, 0.0489, 0.2220, 1.0000,
0.2930, 0.2407, 0.4105, 0.3607, 0.0186, 0.1861, 0.2707, 1.0000,
0.2995, 0.2863, 0.5191, 0.5007, 0.0782, 0.3355, 0.2302, 0.2950, 1.0000,
0.0760, 0.0702, 0.2784, 0.1988, 0.1147, 0.1021, 0.0931, -0.0438, 0.2087, 1.000
)
x = umx_lower2full(tmp, diag = TRUE)
# check
isSymmetric(x)
# 2. Test with matrix input
tmpn = c("ROccAsp", "REdAsp", "FOccAsp", "FEdAsp", "RParAsp",
"RIQ", "RSES", "FSES", "FIQ", "FParAsp")
tmp = matrix(nrow = 10, ncol = 10, byrow = TRUE, dimnames = list(tmpn,tmpn), data =
c(1.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0,
0.6247, 1.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0,
0.3269, 0.3669, 1.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0,
0.4216, 0.3275, 0.6404, 1.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0,
0.2137, 0.2742, 0.1124, 0.0839, 1.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0,
0.4105, 0.4043, 0.2903, 0.2598, 0.1839, 1.0000, 0.0000, 0.0000, 0.0000, 0,
0.3240, 0.4047, 0.3054, 0.2786, 0.0489, 0.2220, 1.0000, 0.0000, 0.0000, 0,
0.2930, 0.2407, 0.4105, 0.3607, 0.0186, 0.1861, 0.2707, 1.0000, 0.0000, 0,
0.2995, 0.2863, 0.5191, 0.5007, 0.0782, 0.3355, 0.2302, 0.2950, 1.0000, 0,
0.0760, 0.0702, 0.2784, 0.1988, 0.1147, 0.1021, 0.0931, -0.0438, 0.2087, 1)
)
x = umx_lower2full(tmp, diag= TRUE)
isSymmetric(x)
# 3. Test with lower-vector, no diagonal.
tmp = c(
0.6247,
0.3269, 0.3669,
0.4216, 0.3275, 0.6404,
0.2137, 0.2742, 0.1124, 0.0839,
0.4105, 0.4043, 0.2903, 0.2598, 0.1839,
0.3240, 0.4047, 0.3054, 0.2786, 0.0489, 0.2220,
0.2930, 0.2407, 0.4105, 0.3607, 0.0186, 0.1861, 0.2707,
0.2995, 0.2863, 0.5191, 0.5007, 0.0782, 0.3355, 0.2302, 0.2950,
0.0760, 0.0702, 0.2784, 0.1988, 0.1147, 0.1021, 0.0931, -0.0438, 0.2087
)
umx_lower2full(tmp, diag = FALSE)
# An example with byrow = FALSE
ldiag = c(
1, -.17, -.22, -.19, -.12, .81, -.02, -.26, -.2, -.15,
1, .11, .2, .21, -.01, .7, .1, .7, .1, .17, .22,
1, .52, .68, -.12, .09, .49, .27, .46,
1, .5, -.06, .17, .26, .80, .31,
1, -.1, .19, .36, .23, .42,
1, .02, -19, -.06, -.06,
1, .1, .18, .27,
1, .51, .7,
1, .55,
1)
umx_lower2full(tmp, byrow = FALSE, diag = TRUE)
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