matrixStats: Summary of functions

matrixStats: Summary of functions

Henrik Bengtsson on NA

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)`

matrixStats v1.3.0. Release: CRAN, Development: GitHub.