emgGaussian_minpack.lm_objectiveFun: Exponentially Modified Gaussian minpack.lm objective function
In zhengfj1994/MeTEA: Targeted extraction from untargeted metabolomics dataset by using metabolomics database
Description
Usage
Arguments
Value
Description
Exponentially Modified Gaussian (EMG) minpack.lm objective
function, calculates residuals using the EMG Peak Shape
Usage
1
emgGaussian_minpack.lm_objectiveFun(params, observed, xx)
Arguments
params
(list) exponentially modified gaussian parameters
(params$gamma, params$center, params$sigma,
params$amplitude)
observed
(numeric) observed y value at xx
xx
(numeric) value at which to evalute the exponentially
modified gaussian
Value
difference between observed and expected exponentially modified
gaussian value evaluated at xx
zhengfj1994/MeTEA documentation built on June 29, 2021, 5:21 a.m.
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Description Usage Arguments Value
Description
Exponentially Modified Gaussian (EMG) minpack.lm objective function, calculates residuals using the EMG Peak Shape
Usage
1 | emgGaussian_minpack.lm_objectiveFun(params, observed, xx)
|
Arguments
params |
(list) exponentially modified gaussian parameters
( |
observed |
(numeric) observed y value at xx |
xx |
(numeric) value at which to evalute the exponentially modified gaussian |
Value
difference between observed and expected exponentially modified gaussian value evaluated at xx
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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