matrixStats: Summary of functions

matrixStats: Summary of functions

Henrik Bengtsson on July 23, 2018

Location and scale estimators

Estimator	Functions	Example
Weighted sample mean	weightedMean(), colWeightedMeans(), rowWeightedMeans()	weightedMean(x, w); rowWeightedMeans(x, w)
Mean	mean2(), colMeans2(), rowMeans2()	mean2(x); rowMeans2(x)
Median	median(), colMedians(), rowMedians()	median(x); rowMedians(x)
Weighted median	weightedMedian(), colWeightedMedians(), rowWeightedMedians()	weightedMedian(x, w); rowWeightedMedians(x, w)
Sample variance	var(), colVars(), rowVars()	var(x); rowVars(x)
Weighted sample variance	weightedVar(), colWeightedVars(), rowWeightedVars()	weightedVar(x, w), rowWeightedVars(x, w)
Sample variance by n-order differences	varDiff(), colVarDiffs(), rowVarDiffs()	varDiff(x); rowVarDiffs(x)
Sample standard deviation	sd(), colSds(), rowSds()	sd(x); rowSds(x)
Weighted sample deviation	weightedSd(), colWeightedSds(), rowWeightedSds()	weightedSd(x, w), rowWeightedSds(x, w)
Sample standard deviation by n-order differences	sdDiff(), colSdDiffs(), rowSdDiffs()	sdDiff(x); rowSdDiffs(x)
Median absolute deviation (MAD)	mad(), colMads(), rowMads()	mad(x); rowMads(x)
Weighted median absolute deviation (MAD)	weightedMad(), colWeightedMads(), rowWeightedMads()	weightedMad(x, w), rowWeightedMads(x, w)
Median absolute deviation (MAD) by n-order differences	madDiff(), colMadDiffs(), rowMadDiffs()	madDiff(x); rowMadDiffs()
Quantile	quantile(), colQuantiles(), rowQuantiles()	quantile(x, probs); rowQuantiles(x, probs)
Interquartile range (IQR)	iqr(), colIQRs(), rowIQRs()	iqr(x); rowIQRs(x)
Interquartile range (IQR) by n-order differences	iqrDiff(), colIQRDiffs(), rowIQRDiffs()	iqrDiff(x); rowIQRDiffs(x)
Range	range(), colRanges(), rowRanges()	range(x); rowRanges(x)
Minimum	min(), colMins(), rowMins()	min(x); rowMins(x)
Maximum	max(), colMaxs(), rowMaxs()	max(x); rowMaxs(x)

Testing for and counting values

Operator	Functions	Example
Are there any missing values?	anyMissing(), colAnyMissings(), rowAnyMissings()	anyMissing(x); rowAnyMissings(x)
Does TRUE exists?	any(), colAnys(), rowAnys()	any(x); rowAnys(x)
Are all values TRUE?	all(), colAlls(), rowAlls()	all(x); rowAlls(x)
Does value exists?	anyValue(), colAnys(), rowAnys()	anyValue(x, value); rowAnys(x, value)
Do all elements have a given value?	allValue(), colAlls(), rowAlls()	allValue(x, value); rowAlls(x, value)
Number of occurrences of a value?	count(), colCounts(), rowCounts()	count(x, value); rowCounts(x, value)

Cumulative functions

Operator	Functions	Example
Cumulative sum	cumsum(), colCumsums(), rowCumsums()	cumsum(x); rowCumsums(x)
Cumulative product	cumprod(), colCumprods(), rowCumprods()	cumprod(x); rowCumprods(x)
Cumulative minimum	cummin(), colCummins(), rowCummins()	cummin(x); rowCummins(x)
Cumulative maximum	cummax(), colCummaxs(), rowCummaxs()	cummax(x); rowCummaxs(x)

Binning

Estimator	Functions	Example
Counts in disjoint bins	binCounts()	binCounts(x, bx)
Sample means (and counts) in disjoint bins	binMeans()	binMeans(y, x, bx)

Miscellaneous

Operation	Functions	Example
Sum	sum2(), colSums2(), rowSums2()	sum2(x); rowSums2(x)
Lagged differences	diff2(), colDiffs(), rowDiffs()	diff2(x), rowDiffs(x)

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matrixStats v0.54.0. Release: CRAN, Development: GitHub.

[출처] https://cran.r-project.org/web/packages/matrixStats/vignettes/matrixStats-methods.html