umx_cont_2_quantiles
Recode a continuous variable into n-quantiles (default = deciles (10 levels)).
It returns an mxFactor(), with the levels labeled with the max value
in each quantile (i.e., open on the left-side). quantiles are labeled "quantile1"
"quantile2" etc.
umx_cont_2_quantiles(
x,
nlevels = NULL,
type = c("mxFactor", "ordered", "unordered"),
verbose = FALSE,
returnCutpoints = FALSE
)x |
a variable to recode as ordinal (email maintainer("umx") if you'd like this upgraded to handle df input) |
nlevels |
How many bins or levels (at most) to use (i.e., 10 = deciles) |
type |
what to return (Default is "mxFactor") options: "ordered" and "unordered") |
verbose |
report the min, max, and decile cuts used (default = FALSE) |
returnCutpoints |
just return the cutpoints, for use directly |
Note: Redundant quantiles are merged. i.e., if the same score identifies all deciles up to the fourth, then these will be merged into one bin, labeled "quantile4".
recoded variable as an mxFactor()
Other Data Functions:
noNAs(),
umxFactor(),
umxHetCor(),
umx_as_numeric(),
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_lower(),
umx_read_prolific_demog(),
umx_rename(),
umx_reorder(),
umx_score_scale(),
umx_select_valid(),
umx_stack(),
umx
x = umx_cont_2_quantiles(rnorm(1000), nlevels = 10, verbose = TRUE)
x = data.frame(x)
str(x); levels(x)
table(x)
## Not run:
ggplot2::qplot(x$x)
y = mxDataWLS(x, type = "WLS")
## End(Not run)
# ===========================
# = Use with twin variables =
# ===========================
data(twinData)
x = twinData
cuts = umx_cont_2_quantiles(rbind(x$wt1, x$wt2) , nlevels = 10, returnCutpoints = TRUE)
x$wt1 = umx_cont_2_quantiles(x$wt1, nlevels = cuts) # use same for both...
x$wt2 = umx_cont_2_quantiles(x$wt2, nlevels = cuts) # use same for both...
str(x[, c("wt1", "wt2")])
# More examples
x = umx_cont_2_quantiles(mtcars[, "mpg"], nlevels = 5) # quintiles
x = umx2ord(mtcars[, "mpg"], nlevels = 5) # using shorter alias
x = umx_cont_2_quantiles(mtcars[, "cyl"], nlevels = 10) # more levels than integers exist
x = umx_cont_2_quantiles(rbinom(10000, 1, .5), nlevels = 2)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.