drop_dense: Internal function to prune quantiles of non-important values...
In fastqq: Faster Generation of Quantile Quantile Plots with Large Samples
drop_dense R Documentation
Internal function to prune quantiles of non-important values for
visualization.
Description
This function is not exposed, since we want to hard-code the parameters
for simplicity of usage.
Usage
drop_dense(x, y, N_hard = 10000)
Arguments
x
A numeric vector of sample/theoretical points.
y
A numeric vector of theoretical/sample points.
N_hard
Desired upper bound on the number of points to plot.
Value
data.frame with o and e pruned as columns.
fastqq documentation built on Oct. 25, 2022, 9:06 a.m.
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| drop_dense | R Documentation |
Internal function to prune quantiles of non-important values for visualization.
Description
This function is not exposed, since we want to hard-code the parameters for simplicity of usage.
Usage
drop_dense(x, y, N_hard = 10000)
Arguments
x |
A numeric vector of sample/theoretical points. |
y |
A numeric vector of theoretical/sample points. |
N_hard |
Desired upper bound on the number of points to plot. |
Value
data.frame with o and e pruned as columns.
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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