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All functions

colMeansMat() colSumsMat() aggregate_by_matrix() aggregate_by_vector()
Aggreagate quantitative features
bin()
Binning
isPeaksMatrix()
Check functions
asInteger()
Coerce functions
colCounts()
Counts the number of features
ndotproduct() dotproduct() neuclidean() navdist() nspectraangle()
Spectra Distance/Similarity Measurements
rt2numeric() rt2character() formatRt()
Format Retention Time
gnps() join_gnps()
GNPS spectrum similarity scores
group()
Grouping of numeric values by similarity
i2index()
Input parameter check for subsetting operations
impute_matrix() imputeMethods() impute_neighbour_average() impute_knn() impute_mle() impute_bpca() impute_mixed() impute_min() impute_zero() impute_with() impute_fun()
Quantitative mass spectrometry data imputation
localMaxima()
Local Maxima
closest() common() join()
Relaxed Value Matching
medianPolish()
Return the Median Polish (Robust Twoway Decomposition) of a matrix
noise()
Noise Estimation
normalizeMethods() normalize_matrix()
Quantitative data normalisation
ppm()
PPM - Parts per Million
between() `%between%`
Range helper functions
rbindFill()
Combine R Objects by Row
refineCentroids()
Refine Peak Centroids
rla() rowRla()
Calculate relative log abundances rla calculates the relative log abundances (RLA, see reference) on a numeric vector. rowRla performs row-wise RLA calculations on a numeric matrix.
robustSummary()
Return the Robust Expression Summary of a matrix
smooth() coefMA() coefWMA() coefSG()
Smoothing
validPeaksMatrix()
Validation functions
valleys()
Find Peak Valleys
vapply1c() vapply1d() vapply1l()
vapply wrappers
which.first() which.last()
Which is the first/last TRUE value.