kin.derive: smooth then calculate derivatives of a given variable with...
In ccamp83/kinesis: R package for the analysis of motion trajectories and movement kinematics
View source: R/functions_smooth_derive.r
kin.derive R Documentation
smooth then calculate derivatives of a given variable with respect to a specific predictor. Inputs:
Description
smooth then calculate derivatives of a given variable with respect to a specific predictor. Inputs:
Usage
kin.derive(x, y, l = 0.2, d)
Arguments
x:
predictor
y:
variable to be smoothed
l:
lambda - smoothing parameter (default to .2)
d:
order of derivative
ccamp83/kinesis documentation built on Feb. 28, 2024, 12:11 p.m.
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View source: R/functions_smooth_derive.r
| kin.derive | R Documentation |
smooth then calculate derivatives of a given variable with respect to a specific predictor. Inputs:
Description
smooth then calculate derivatives of a given variable with respect to a specific predictor. Inputs:
Usage
kin.derive(x, y, l = 0.2, d)
Arguments
x: |
predictor |
y: |
variable to be smoothed |
l: |
lambda - smoothing parameter (default to .2) |
d: |
order of derivative |
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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