mz_frequency_interpolation: convert mz to frequency using linear fit
In MoseleyBioinformaticsLab/FTMS.peakCharacterization: Functionality for Detecting and Characterizing Peaks
mz_frequency_interpolation R Documentation
convert mz to frequency using linear fit
Description
Given a query, and either two values of M/Z and two values of frequency or
a previously generated model, return a data.frame with the predicted value,
and the slope and the intercept so the model can be re-used later for
other points when needed.
Usage
mz_frequency_interpolation(
mz_query,
mz_values = NULL,
frequency_values = NULL,
model = NULL
)
Arguments
mz_query
the M/Z value to fit
mz_values
two M/Z values
frequency_values
two frequency values
model
a model to use instead of actual values
Value
data.frame with predicted_value, intercept, and slope
MoseleyBioinformaticsLab/FTMS.peakCharacterization documentation built on April 27, 2022, 3:32 a.m.
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| mz_frequency_interpolation | R Documentation |
convert mz to frequency using linear fit
Description
Given a query, and either two values of M/Z and two values of frequency or a previously generated model, return a data.frame with the predicted value, and the slope and the intercept so the model can be re-used later for other points when needed.
Usage
mz_frequency_interpolation( mz_query, mz_values = NULL, frequency_values = NULL, model = NULL )
Arguments
mz_query |
the M/Z value to fit |
mz_values |
two M/Z values |
frequency_values |
two frequency values |
model |
a model to use instead of actual values |
Value
data.frame with predicted_value, intercept, and slope
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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