Read lower-triangle of data matrix from console or file
umx_read_lower will read a lower triangle of data, either from the console, or from file, and return a full matrix, optionally coerced to positive definite. This is useful, especially when copying data from a paper that includes just the lower triangle of a correlation matrix.
umx_read_lower(file = "", diag = TRUE, names = NULL, ensurePD = FALSE)
file |
Path to a file to read (Default "" will read from user input) |
diag |
Whether the data include the diagonal. Defaults to TRUE |
names |
The default names for the variables. Defaults to as.character(paste("X", 1:n, sep="")) |
ensurePD |
Whether to coerce the resultant matrix to positive definite (Defaults to FALSE) |
Other Data Functions:
noNAs(),
umxFactor(),
umxHetCor(),
umx_as_numeric(),
umx_cont_2_quantiles(),
umx_lower2full(),
umx_make_MR_data(),
umx_make_TwinData(),
umx_make_fake_data(),
umx_make_raw_from_cov(),
umx_polychoric(),
umx_polypairwise(),
umx_polytriowise(),
umx_read_prolific_demog(),
umx_rename(),
umx_reorder(),
umx_score_scale(),
umx_select_valid(),
umx_stack(),
umx
## Not run:
require(umx) # for umxRAM
IQtests = c("brainstorm", "matrix", "moral", "shopping", "typing")
allCols = c("C", IQtests, "avgIQ", "maxIQ", "video")
df = umx_read_lower(diag = FALSE, names = allCols)
0.38
0.86 0.30
0.42 0.12 0.27
0.66 0.21 0.38 0.18
0.80 0.13 0.50 0.25 0.43
0.19 0.11 0.19 0.12 -0.06 0.22
0.27 0.09 0.33 0.05 -0.04 0.28 .73
0.52 0.17 0.38 0.37 0.39 0.44 0.18 0.13
dimnames(df) = list(allCols, allCols) # manually add
df = umx_read_lower(file = "", diag = FALSE, names = allCols, ensurePD= TRUE)
0.38
0.86 0.30
0.42 0.12 0.27
0.66 0.21 0.38 0.18
0.80 0.13 0.50 0.25 0.43
0.19 0.11 0.19 0.12 -0.06 0.22
0.27 0.09 0.33 0.05 -0.04 0.28 .73
0.52 0.17 0.38 0.37 0.39 0.44 0.18 0.13
round(df, 2)
m1 = umxRAM("wooley", data = mxData(df, type="cov", numObs = 90),
umxPath("g", to = IQtests),
umxPath(var = "g", fixedAt= 1),
umxPath(var = IQtests)
)
summary(m1)
## End(Not run)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.