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 v1.2.0. Release: CRAN, Development: GitHub.