rowStats
calculates row statistics,
rowSds
calculates row standard deviations,
rowVars
calculates row variances,
rowSkewness
calculates row skewness,
rowKurtosis
calculates row kurtosis,
rowMaxs
calculates maximum values in each row,
rowMins
calculates minimum values in each row,
rowProds
computes product of all values in each row,
rowQuantiles
computes quantiles of each row. }rowStats(x, FUN, ...)
rowSds(x, ...)
rowVars(x, ...)
rowSkewness(x, ...)
rowKurtosis(x, ...)
rowMaxs(x, ...)
rowMins(x, ...)
rowProds(x, ...)
rowQuantiles(x, prob = 0.05, ...)rowStdevs(x, ...)
rowAvgs(x, ...)
as.matrix
.link{colStats}
.## Simulated Return Data in Matrix Form:
x = matrix(rnorm(10*10), nrow = 10)
## rowStats -
rowStats(x, FUN = mean)
## rowMaxs -
rowMaxs(x)
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