un.cdf.plot: Univariate CDF estimation - plot
In anthonyyazdani/KernelMVA: Kernel density estimation
Description
Usage
Arguments
Value
Examples
Description
Univariate CDF estimation - plot
Usage
1
un.cdf.plot(RVa, grid_size)
Arguments
RVa
Vector: Realizations of a random variable
grid_size
Scalar : The size of the grid on which the plot will be made.
Value
Returns the CDF estimate across the grid.
Examples
1
2
OBJ = un.cdf.plot(RVa = rnorm(10000), grid_size = 1000)
OBJ$Plot
anthonyyazdani/KernelMVA documentation built on March 29, 2021, 1:50 a.m.
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Description Usage Arguments Value Examples
Description
Univariate CDF estimation - plot
Usage
1 | un.cdf.plot(RVa, grid_size)
|
Arguments
RVa |
Vector: Realizations of a random variable |
grid_size |
Scalar : The size of the grid on which the plot will be made. |
Value
Returns the CDF estimate across the grid.
Examples
1 2 | OBJ = un.cdf.plot(RVa = rnorm(10000), grid_size = 1000)
OBJ$Plot
|
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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