estimateECDF: A variant of Empirical Cumulative Distribution Function...
In genomaths/MethylIT: Methylation Analysis Based on Signal Detection
estimateECDF R Documentation
A variant of Empirical Cumulative Distribution Function 'ecdf'
Description
This function is used to reduce the number of points used to
build a ecdf of an experimental variable. When a variable has a very
high amount of experimental values (several millions) could be
computationally time consuming to perform a good-of-fit test and a
non-linear regression estimation for a theoretical CDF based in such a
big number of values.
Usage
estimateECDF(x, npoints = 10)
Arguments
x
numeric vector
npoints
minimum number of non-missing values
Details
The histogram cell midpoints values are used to build estimateECDF.
Value
ecdf of numeric vector
Examples
x <- sample(1:500, 50, replace=TRUE)
estimateECDF(x, npoints = 15)
genomaths/MethylIT documentation built on Feb. 3, 2024, 1:24 a.m.
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| estimateECDF | R Documentation |
A variant of Empirical Cumulative Distribution Function 'ecdf'
Description
This function is used to reduce the number of points used to build a ecdf of an experimental variable. When a variable has a very high amount of experimental values (several millions) could be computationally time consuming to perform a good-of-fit test and a non-linear regression estimation for a theoretical CDF based in such a big number of values.
Usage
estimateECDF(x, npoints = 10)
Arguments
x |
numeric vector |
npoints |
minimum number of non-missing values |
Details
The histogram cell midpoints values are used to build estimateECDF.
Value
ecdf of numeric vector
Examples
x <- sample(1:500, 50, replace=TRUE)
estimateECDF(x, npoints = 15)
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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