qualHighest: Score an empirical density distribution of values, where the...
In PTXQC: Quality Report Generation for MaxQuant and mzTab Results
View source: R/fcn_qualities.R
qualHighest R Documentation
Score an empirical density distribution of values, where the best possible distribution is right-skewed.
Description
The score is computed according to
Usage
qualHighest(x, N)
Arguments
x
Vector of numeric values (e.g. height of histogram bins)
N
Length of x (just a precaution currently)
Details
q = ((N-1) - sum_i( ((N-i-1)*x_i) ) / (N-1)
Scores range from 0 (worst), to 1 (best).
E.g. c(0,0,0,16) would yield a score of 1.
c(16,0,0,0,0) gives a score of 0.
Value
Quality score in the range of [0,1]
Examples
qualHighest(c(0,0,0,16), 4) ## 1
qualHighest(c(16,0,0,0), 4) ## 0
qualHighest(c(1,1,1,1), 4) ## 0.5
qualHighest(c(0,16,0,0), 4) ## 1/3
PTXQC documentation built on May 29, 2024, 9:26 a.m.
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View source: R/fcn_qualities.R
| qualHighest | R Documentation |
Score an empirical density distribution of values, where the best possible distribution is right-skewed.
Description
The score is computed according to
Usage
qualHighest(x, N)
Arguments
x |
Vector of numeric values (e.g. height of histogram bins) |
N |
Length of x (just a precaution currently) |
Details
q = ((N-1) - sum_i( ((N-i-1)*x_i) ) / (N-1)
Scores range from 0 (worst), to 1 (best). E.g. c(0,0,0,16) would yield a score of 1. c(16,0,0,0,0) gives a score of 0.
Value
Quality score in the range of [0,1]
Examples
qualHighest(c(0,0,0,16), 4) ## 1
qualHighest(c(16,0,0,0), 4) ## 0
qualHighest(c(1,1,1,1), 4) ## 0.5
qualHighest(c(0,16,0,0), 4) ## 1/3
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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