simpson_nint: numerical integration based on Simpsons rule
In swihart/wfpca: weighted functional prinicpal components analysis
Description
Usage
Arguments
Value
Examples
Description
based on Bolstad:sintegral(); but needed to remove the message.
Usage
1
simpson_nint(x, fx, n.pts = max(256, length(n.x)))
Arguments
x
a sequence of x values.
fx
the value of the function to be integrated at x or a function
n.pts
the number of points to be used in the integration. If x contains more than n.pts then n.pts will be set to length(x)
Value
results a data frame with rmse for each approach for that simulated dataset
Examples
1
---
swihart/wfpca documentation built on May 30, 2019, 10:38 p.m.
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Description Usage Arguments Value Examples
Description
based on Bolstad:sintegral(); but needed to remove the message.
Usage
1 | simpson_nint(x, fx, n.pts = max(256, length(n.x)))
|
Arguments
x |
a sequence of x values. |
fx |
the value of the function to be integrated at x or a function |
n.pts |
the number of points to be used in the integration. If x contains more than n.pts then n.pts will be set to length(x) |
Value
results a data frame with rmse for each approach for that simulated dataset
Examples
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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