Filter identifications according to m/z error, RT error, MS similarity and total score. [Maturing]

filter_identification(
  object,
  ms1.match.ppm = 25,
  rt.match.tol = 30,
  ms2.match.tol = 0.5,
  total.score.tol = 0.5
)

Arguments

object

A metIdentifyClass object.

ms1.match.ppm

MS1 match ppm.

rt.match.tol

RT match tolerance.

ms2.match.tol

MS2 match (MS2 similarity) tolerance.

total.score.tol

Total score tolerance.

Value

A new metIdentifyClass.

See also

The example and demo data of this function can be found https://jaspershen.github.io/metID/articles/metID.html

Author

Xiaotao Shen shenxt1990@163.com

Examples

data("annotate_result", package = "metID")
annotate_result2 <- filter_identification(annotate_result, rt.match.tol = 5)