Minimum distance/difference between values
minDiff aims to find the min distance (ie closest point) to any other x (numeric value), ie intra 'x' and
returns matrix with 'index','value','dif','ppm','ncur','nbest','best'.
At equal distance to lower & upper neighbour point, the upper (following) point is chosen (as single best).
In case of multiple ex-aequo distance returns 1st of multiple, may be different at various repeats.
minDiff(x, digSig = 3, ppm = TRUE, initOrder = TRUE, callFrom = NULL)
x |
(numeric) vector to search minimum difference |
digSig |
number of significant digits, used for ratio or ppm column |
ppm |
(logical) display distance as ppm (1e6*diff/refValue, ie normalized difference eg as used in mass spectrometry), otherwise the ratio is given as : value(from 'x') / closestValue (from 'x') |
initOrder |
(logical) return matrix so that 'x' matches exactely 2nd col of output |
callFrom |
(character) allow easier tracking of message(s) produced |
matrix
set.seed(2017); aa <- 100*c(0.1+round(runif(20),2),0.53,0.53) minDiff(aa); minDiff(aa,initO=TRUE,ppm=FALSE); .minDif(unique(aa))
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