trapezoidal: Trapezoidal rule for numrical integration.
In Rommelio-coli/SSPA: General Sample Size and Power Analysis for Microarray and Next-Generation Sequencing Data
Description
Usage
Arguments
Details
Value
Author(s)
View source: R/numericalintegration.R
Description
Implementation of the trapezoidal rule for the numerical integration of uni- and bivariate functions.
Usage
1
trapezoidal(f, a, b, n, ...)
Arguments
f
bivariate function.
a
lower bound of the grid.
b
upper bound of the grid.
n
grid size.
...
trick for evaluating the second parameter in case a bivariate functions was supplied.
Details
details follow
Value
vector or matrix of function evaluations use sum to obtain the integrand.
Author(s)
Maarten van Iterson
Rommelio-coli/SSPA documentation built on Dec. 18, 2021, 11 a.m.
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Description Usage Arguments Details Value Author(s)
View source: R/numericalintegration.R
Description
Implementation of the trapezoidal rule for the numerical integration of uni- and bivariate functions.
Usage
1 | trapezoidal(f, a, b, n, ...)
|
Arguments
f |
bivariate function. |
a |
lower bound of the grid. |
b |
upper bound of the grid. |
n |
grid size. |
... |
trick for evaluating the second parameter in case a bivariate functions was supplied. |
Details
details follow
Value
vector or matrix of function evaluations use sum to obtain the integrand.
Author(s)
Maarten van Iterson
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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