umx_names | R Documentation |
Convenient equivalent of running grep on names, with value = TRUE and ignore.case = TRUE.
Plus:umx_names
can handle dataframes, a model, list of models, model summary, or a vector of strings as input.
In these cases, it will search column names, parameter or summary output names, or the literal string values themselves respectively.
In addition, umx_names
can do replacement of a found string (see examples). It can also collapse the result (using paste0)
Note: namez
(with a z) is a shortcut for umx_names
, which makes it easy to replace where you would otherwise use names.
You can learn more about the matching options (like inverting the selection etc.) in the help for base-R grep.
umx_names(
df,
pattern = ".*",
replacement = NULL,
ignore.case = TRUE,
perl = FALSE,
value = TRUE,
fixed = FALSE,
useBytes = FALSE,
invert = FALSE,
global = FALSE,
collapse = c("as.is", "vector", "formula")
)
df |
dataframe (or other objects, or a list of models) from which to get names. |
pattern |
Used to find only matching names (supports grep/regular expressions) |
replacement |
If not NULL, replaces the found string. Use backreferences ("\1" to "\9") to refer to (subexpressions). |
ignore.case |
default = TRUE (opposite default to grep) |
perl |
Should Perl-compatible regexps be used? Default = FALSE |
value |
Return matching elements themselves (TRUE) or their indices (FALSE) default = TRUE (opposite default to grep) |
fixed |
= FALSE (grep option If TRUE, pattern is a string to be matched as is. Overrides all conflicting arguments.) |
useBytes |
= FALSE logical. grep option. If TRUE, matching is by byte rather than by character. |
invert |
Return indices or values for elements that do not match (default = FALSE). |
global |
replace all instances in each strong, or just the first (Default). |
collapse |
"as.is" leaves alone. as.vector formats as pasteable code, i.e., "c('a', 'b')", not "a" "b" (default NULL), etc. |
vector of matches
Base-R pattern matching functions: grep()
.
And umx_check_names()
to check for existence of names in a dataframe.
Other String Functions:
umx_explode_twin_names()
,
umx_explode()
,
umx_grep()
,
umx_paste_names()
,
umx_rot()
,
umx_str_chars()
,
umx_str_from_object()
,
umx_trim()
,
umx
# Names from a dataframe, with character matching
umx_names(mtcars, "mpg") # only "mpg" matches this
# Easy-to-type alias "namez"
namez(mtcars, "mpg")
# Use a regular expression to match a pattern
namez(mtcars, "r[ab]") # "drat", "carb"
namez(mtcars, "^d") # vars beginning with 'd' = "disp", drat
# Use this function to replace text in names!
umx_names(mtcars, "mpg", replacement = "hello") # "mpg" replaced with "hello"
# ========================================================================
# = Using the custom collapse option to quote each item, and wrap in c() =
# ========================================================================
namez(mtcars, "m", collapse = "vector") # Paste-able R-code for a vector
# Other options passed to R's grep command
umx_names(mtcars, "mpg" , invert = TRUE) # Non-matches (instead of matches)
umx_names(mtcars, "disp", value = FALSE) # Return indices of matches
umx_names(mtcars, "disp", value = "grepl") # which var matches disp
umx_names(mtcars, "^d" , fixed = TRUE) # Vars containing literal '^d' (none...)
# =======================================
# = Examples using built-in GFF dataset =
# =======================================
# Just show phenotypes for Twin 1
umx_names(GFF, "_T1$") # twin 1
# "zyg" "sex1" "age_T1" "gff_T1" "fc_T1" "qol_T1" "hap_T1"...
umx_names(GFF, "2$") # names ending in 2
umx_names(GFF, "[^12bs]$") # doesn't end in `1`, `2`, `b`, or `s`
# "zyg_6grp" "zyg_2grp" "divorce"
umx_names(mxData(twinData[, c("wt1", "wt2")], type= "raw"))
umx_names(mxData(cov(twinData[, c("wt1", "wt2")], use="comp"), type= "cov", numObs= 1000))
umx_names(mxDataWLS(na.omit(twinData[, c("wt1", "wt2")]), type= "WLS"))
namez(umxMatrix("bob", "Full", 3,3)$labels)
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