sdim()
prints the name and dimensions of list
object elements,
such as a list
of data.frame
ssdim()
prints the name and dimensions of nested elements of list
objects, for example a list
of list
objects that each contain
other objects.
sdima()
prints the name and dimensions of object attributes(x)
.
It is useful for summarizing the attributes()
of an object.
ssdima()
prints the name and dimensions of nested elements of list
object attributes()
, for example a list
of list
objects that each
contain other objects. It is useful for comparing attributes across list
elements.
This function prints the dimensions of a list of objects, usually a list
of data.frame
objects, but extended to handle more complicated lists,
including even S4 object slotNames()
.
Over time, more object types will be made compatible with this function.
Currently, igraph
objects will print the number of nodes and edges, but
requires the igraph package to be installed.
sdim(
x,
includeClass = TRUE,
doFormat = FALSE,
big.mark = ",",
verbose = FALSE,
...
)
sdima(
x,
includeClass = TRUE,
doFormat = FALSE,
big.mark = ",",
verbose = FALSE,
...
)
ssdima(
x,
includeClass = TRUE,
doFormat = FALSE,
big.mark = ",",
verbose = FALSE,
...
)
ssdim(
x,
includeClass = TRUE,
doFormat = FALSE,
big.mark = ",",
verbose = FALSE,
...
)
one of several recognized object classes:
an S3 object inheriting from class "list"
, including a nested list of
lists or simple list
an S3 atomic object, which returns only the length
a single multi-dimensional object such as data.frame
, matrix
,
array
, tibble
, or similar, which returns only its dimensions.
an S4
object in which case it used slotNames(x)
to traverse the object structure
an "environment"
object, in which case ls(envir=x)
is
used to traverse the object structure.
When the object is S4
that inherits "List"
from the
S4Vectors
package, it will attempt to use the proper subset
functions from S4Vectors
via names(x)
, but that process only works
properly if the S4Vectors
package is previously loaded,
otherwise it reverts to using slotNames(x)
.
logical
indicating whether to print the class of
each element in the input x
object. Note that for S4 objects,
each element will be the object returned for each of slotNames(x)
.
logical
indicating whether to format the dimensions using
format(...,big.mark=",")
, which is mainly useful for extremely
large dimensions. This parameter should probably become more broadly
useful and respectful for different locales.
character
value used when doFormat=TRUE
, used in the
call to format(...,big.mark)
.
logical
whether to print verbose output
additional parameters are ignored.
data.frame
where each row indicates the dimensions of
each element in the input list. When includeClass
is TRUE
it
will include a column class
which indicates the class of each
list element. When the input list contains arrays with more than
two dimensions, the first two dimensions are named "rows"
and
"columns"
with additional dimensions named "dim3"
and so on.
Any list element with fewer than that many dimensions will only have
values populated to the relevant dimensions, for example a character
vector will only populate the length.
list
of data.frame
each of which
describes the dimensions of the objects in
attributes(x)
.
list
of data.frame
, each row indicates the dimensions of
each element in the input list.
When includeClass
is TRUE
it
will include a column class
which indicates the class of each
list element.
When the input list
contains arrays with more than
two dimensions, the first two dimensions are named "rows"
and
"columns"
with additional dimensions named "dim3"
and so on.
Any list
element with fewer than that many dimensions will only have
values populated to the relevant dimensions, for example a character
vector will only populate the length.
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()
,
lldf()
,
log2signed()
,
make_html_styles()
,
make_styles()
,
match_unique()
,
mergeAllXY()
,
middle()
,
minorLogTicks()
,
newestFile()
,
printDebug()
,
renameColumn()
,
rmInfinite()
,
rmNAs()
,
rmNA()
,
rmNULL()
,
sclass()
,
setPrompt()
Other jam list functions:
cPasteSU()
,
cPasteS()
,
cPasteUnique()
,
cPasteU()
,
cPaste()
,
heads()
,
jam_rapply()
,
list2df()
,
mergeAllXY()
,
mixedSorts()
,
rbindList()
,
relist_named()
,
rlengths()
,
sclass()
,
uniques()
,
unnestList()
L <- list(LETTERS=LETTERS,
letters=letters,
lettersDF=data.frame(LETTERS, letters));
sdim(L)
#> rows cols class
#> LETTERS 26 character
#> letters 26 character
#> lettersDF 26 2 data.frame
LL <- list(L=L, A=list(1:10))
sdim(LL)
#> rows class
#> L 3 list
#> A 1 list
ssdim(LL)
#> $L
#> rows cols class
#> LETTERS 26 character
#> letters 26 character
#> lettersDF 26 2 data.frame
#>
#> $A
#> rows class
#> 1 10 integer
#>
m <- matrix(1:9,
ncol=3,
dimnames=list(
Rows=letters[1:3],
Columns=LETTERS[1:3]));
sdima(m);
#> rows class
#> dim 2 integer
#> dimnames 2 list
ssdima(m);
#> $dim
#> rows class
#> 1 2 integer
#>
#> $dimnames
#> rows class
#> Rows 3 character
#> Columns 3 character
#>