qualCentered: Quality metric for 'centeredness' of a distribution around...
In PTXQC: Quality Report Generation for MaxQuant and mzTab Results
View source: R/fcn_qualities.R
qualCentered R Documentation
Quality metric for 'centeredness' of a distribution around zero.
Description
Ranges between 0 (worst score) and 1 (best score).
A median of zero gives the best score of 1.
The closer the median is to the most extreme value of the distribution, the smaller the score (until reaching 0).
Can be used for calibrated mass errors, as a measure of how well they are centered around 0.
E.g. if the median is 0.1, while the range is [-0.5,0.5], the score will be 0.8 (punishing the 20
If the range of data is asymmetric, e.g. [-1.5,-0.5] and does not include zero, the score cannot reach 1,
since the median can never be zero.
Usage
qualCentered(x)
Arguments
x
Numeric values (e.g. ppm errors)
Value
Value between [0, 1]
PTXQC documentation built on May 29, 2024, 9:26 a.m.
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View source: R/fcn_qualities.R
| qualCentered | R Documentation |
Quality metric for 'centeredness' of a distribution around zero.
Description
Ranges between 0 (worst score) and 1 (best score). A median of zero gives the best score of 1. The closer the median is to the most extreme value of the distribution, the smaller the score (until reaching 0). Can be used for calibrated mass errors, as a measure of how well they are centered around 0. E.g. if the median is 0.1, while the range is [-0.5,0.5], the score will be 0.8 (punishing the 20 If the range of data is asymmetric, e.g. [-1.5,-0.5] and does not include zero, the score cannot reach 1, since the median can never be zero.
Usage
qualCentered(x)
Arguments
x |
Numeric values (e.g. ppm errors) |
Value
Value between [0, 1]
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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