Description Usage Arguments Details Value See Also Examples
Calculates an order statistic for each row (column) of a matrix-like object.
| 1 2 3 4 5 | 
| x | An NxK matrix-like object. | 
| rows | A  | 
| cols | A  | 
| which | An integer index in [1,K] ([1,N]) indicating which order statistic to be returned | 
| na.rm | If TRUE, NAs are excluded first, otherwise not. | 
The S4 methods for x of type matrix,
array, or numeric call
matrixStats::rowOrderStats
/ matrixStats::colOrderStats.
Returns a numeric vector of length N (K).
matrixStats::rowOrderStats() and
matrixStats::colOrderStats()
which are used when the input is a matrix or numeric vector.
| 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
           [,1]       [,2]       [,3]
[1,]  0.1583615  0.2704270  1.2541778
[2,]  2.0000000  1.2665525 -1.4995291
[3,]  0.6899651 -0.5106760        Inf
[4,]  0.0000000  0.4842335 -1.3416163
[5,] -0.8845643 -1.1153721 -0.6899365
[1]  0.1583615 -1.4995291 -0.5106760 -1.3416163 -1.1153721
[1]  0.1583615  0.2704270 -0.6899365
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