vis_depth: Visualize the effect of varying the m parameter on the mean...
In RADstackshelpR: Optimize the De Novo Stacks Pipeline via R
Description
Usage
Arguments
Value
Examples
Description
This function takes the list of dataframes output by optimize_m() as input.
The function then uses ggplot2 to visualize the effect of m on depth.
Usage
1
Arguments
output
A list containing 5 dataframes generated by optimize_m()
Value
A plot showing the depth of each sample at each given m value
Examples
1
2
vis_depth(output =
readRDS(system.file("extdata","optimize.m.output.RDS",package="RADstackshelpR",mustWork=TRUE)))
RADstackshelpR documentation built on Aug. 19, 2021, 5:06 p.m.
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Description Usage Arguments Value Examples
Description
This function takes the list of dataframes output by optimize_m() as input. The function then uses ggplot2 to visualize the effect of m on depth.
Usage
1 |
Arguments
output |
A list containing 5 dataframes generated by optimize_m() |
Value
A plot showing the depth of each sample at each given m value
Examples
1 2 | vis_depth(output =
readRDS(system.file("extdata","optimize.m.output.RDS",package="RADstackshelpR",mustWork=TRUE)))
|
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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