Description Usage Arguments Details Value Author(s) See Also Examples
Calculates the rank of the elements for each row (column) of a matrixlike object.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20  ## S4 method for signature 'DelayedMatrix'
colRanks(
x,
rows = NULL,
cols = NULL,
ties.method = c("max", "average", "first", "last", "random", "max", "min", "dense"),
preserveShape = FALSE,
force_block_processing = FALSE,
...
)
## S4 method for signature 'DelayedMatrix'
rowRanks(
x,
rows = NULL,
cols = NULL,
ties.method = c("max", "average", "first", "last", "random", "max", "min", "dense"),
force_block_processing = FALSE,
...
)

x 
A NxK DelayedMatrix. 
rows 
A 
cols 
A 
ties.method 
A character string specifying how ties are treated. Note that the default specifies fewer options than the original matrixStats package. 
preserveShape 
If 
force_block_processing 

... 
Additional arguments passed to specific methods. 
The S4 methods for x
of type matrix
,
array
, or numeric
call
matrixStats::rowRanks
/ matrixStats::colRanks
.
The matrixStats::rowRanks()
function can handle a lot of different
values for the ties.method
argument. Users of the generic function
should however only rely on max
and average
because the other ones
are not guaranteed to be implemented:
max
for values with identical values the maximum rank is returned
average
for values with identical values the average of the
ranks they cover is returned. Note, that in this case the return
value is of type numeric
.
a matrix of type integer
is returned unless
ties.method = "average"
. Ithas dimensions' NxJ
(KxJ
)
matrix
, where N (K) is the number of rows (columns) of the
input x.
Peter Hickey
matrixStats::rowRanks()
and
matrixStats::colRanks()
which are used
when the input is a matrix
or numeric
vector.
base::rank
1 2 3 4 5 6 7 8 9 
Loading required package: MatrixGenerics
Loading required package: matrixStats
Attaching package: ‘MatrixGenerics’
The following objects are masked from ‘package:matrixStats’:
colAlls, colAnyNAs, colAnys, colAvgsPerRowSet, colCollapse,
colCounts, colCummaxs, colCummins, colCumprods, colCumsums,
colDiffs, colIQRDiffs, colIQRs, colLogSumExps, colMadDiffs,
colMads, colMaxs, colMeans2, colMedians, colMins, colOrderStats,
colProds, colQuantiles, colRanges, colRanks, colSdDiffs, colSds,
colSums2, colTabulates, colVarDiffs, colVars, colWeightedMads,
colWeightedMeans, colWeightedMedians, colWeightedSds,
colWeightedVars, rowAlls, rowAnyNAs, rowAnys, rowAvgsPerColSet,
rowCollapse, rowCounts, rowCummaxs, rowCummins, rowCumprods,
rowCumsums, rowDiffs, rowIQRDiffs, rowIQRs, rowLogSumExps,
rowMadDiffs, rowMads, rowMaxs, rowMeans2, rowMedians, rowMins,
rowOrderStats, rowProds, rowQuantiles, rowRanges, rowRanks,
rowSdDiffs, rowSds, rowSums2, rowTabulates, rowVarDiffs, rowVars,
rowWeightedMads, rowWeightedMeans, rowWeightedMedians,
rowWeightedSds, rowWeightedVars
Loading required package: DelayedArray
Loading required package: stats4
Loading required package: Matrix
Loading required package: BiocGenerics
Loading required package: parallel
Attaching package: ‘BiocGenerics’
The following objects are masked from ‘package:parallel’:
clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
clusterExport, clusterMap, parApply, parCapply, parLapply,
parLapplyLB, parRapply, parSapply, parSapplyLB
The following objects are masked from ‘package:stats’:
IQR, mad, sd, var, xtabs
The following objects are masked from ‘package:base’:
anyDuplicated, append, as.data.frame, basename, cbind, colnames,
dirname, do.call, duplicated, eval, evalq, Filter, Find, get, grep,
grepl, intersect, is.unsorted, lapply, Map, mapply, match, mget,
order, paste, pmax, pmax.int, pmin, pmin.int, Position, rank,
rbind, Reduce, rownames, sapply, setdiff, sort, table, tapply,
union, unique, unsplit, which.max, which.min
Loading required package: S4Vectors
Attaching package: ‘S4Vectors’
The following object is masked from ‘package:Matrix’:
expand
The following object is masked from ‘package:base’:
expand.grid
Loading required package: IRanges
Attaching package: ‘DelayedArray’
The following objects are masked from ‘package:base’:
aperm, apply, rowsum
Attaching package: ‘DelayedMatrixStats’
The following objects are masked from ‘package:matrixStats’:
colAnyMissings, rowAnyMissings
[,1] [,2] [,3] [,4] [,5]
[1,] 5 5 5 5 5
[2,] 1 2 3 4 5
[3,] 1 2 3 4 5
[,1] [,2] [,3]
[1,] 3 2 1
[2,] 3 3 1
[3,] 2 3 1
[4,] 2 3 1
[5,] 2 3 1
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