Long listing of R session objects
lldf(
n = Inf,
envir = .GlobalEnv,
items = NULL,
use_utils_objectsize = TRUE,
all.names = TRUE,
...
)integer or Inf indicating how many objects to
include in the output data.frame.
environment where the list of objects is obtained.
Note this environment is also where objects are evaluated,
so the envir and items should be compatible.
optional character vector of items to include
in the output data.frame. Note that these items should be
available in the environment envir.
logical passed to base::ls() indicating whether
to include all names, where all.names=TRUE will include
hidden objects whose name begin with "." such as ".First".
additional arguments are passed to ls()
This function expands base::ls() by also determining the
object size, and sorting to display the top n objects by
size, largest first.
This package will call pryr::object_size if available,
otherwise falls back to utils::object.size().
Other jam practical functions:
breakDensity(),
checkLightMode(),
check_pkg_installed(),
colNum2excelName(),
color_dither(),
diff_functions(),
exp2signed(),
fileInfo(),
fixYellow(),
getAxisLabel(),
handleArgsText(),
heads(),
isFALSEV(),
isTRUEV(),
jamba,
jargs(),
kable_coloring(),
log2signed(),
make_html_styles(),
make_styles(),
match_unique(),
mergeAllXY(),
middle(),
minorLogTicks(),
newestFile(),
printDebugI(),
printDebug(),
renameColumn(),
rmInfinite(),
rmNAs(),
rmNA(),
rmNULL(),
sclass(),
sdim(),
setPrompt()
lldf(10);
#> name class bytes size
#> .Random.seed .Random.seed integer 2552 2.5 kb
# custom environment
newenv <- new.env();
newenv$A <- 1:10;
newenv$df <- data.frame(A=1:10, B=11:20);
lldf(envir=newenv);
#> name class bytes size
#> df df data.frame 944 944 bytes
#> A A integer 96 96 bytes
rm(newenv);