plot_ploidy: Plot Inferred v.s. Average Ploidy
In yun-feng/WGDAP: Whole Genome Duplication Analysis Pipeline
Description
Usage
Arguments
Value
Examples
Description
Plot the inferred ploidy from FPI to average ploidy.
ggplot2 is needed for this function
Usage
1
plot_ploidy(data, var, g_sep)
Arguments
data
the CNV dataset (see load_data)
var
The optimal value for all variables (see init_var)
g_sep
The separation value for inferred ploidy
Value
ggplot2 graph object
Examples
1
2
library(ggplot2)
p<-plot_ploidy(wkdata,FPI_result$var,g_sep)
yun-feng/WGDAP documentation built on Nov. 5, 2019, 1:22 p.m.
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Description Usage Arguments Value Examples
Description
Plot the inferred ploidy from FPI to average ploidy. ggplot2 is needed for this function
Usage
1 | plot_ploidy(data, var, g_sep)
|
Arguments
data |
the CNV dataset (see |
var |
The optimal value for all variables (see |
g_sep |
The separation value for inferred ploidy |
Value
ggplot2 graph object
Examples
1 2 | library(ggplot2)
p<-plot_ploidy(wkdata,FPI_result$var,g_sep)
|
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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