get.cutoff.df: Create ggplot object for number of differntially expressed...
In RVA: RNAseq Visualization Automation
Description
This function processes dataframe from plot_cutoff_single function
and produces a ggplot object which depicts the number of differntially expressed
genes with different FDR and fold change cutoff.
Usage
1
get.cutoff.df(datin, pvalues, FCs, FCflag = "logFC", FDRflag = "adj.P.Val")
Arguments
datin
Dataframe from plot_cutoff_single.
pvalues
A set of p-values for FDR cutoff to be checked.
FCs
A set of fold change cutoff to be checked.
FCflag
The column name of the log2FC in the summary statistics table.
FDRflag
The column name of the False Discovery Rate (FDR) in the summary statistics table.
RVA documentation built on Nov. 2, 2021, 1:06 a.m.
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Description
This function processes dataframe from plot_cutoff_single function and produces a ggplot object which depicts the number of differntially expressed genes with different FDR and fold change cutoff.
Usage
1 | get.cutoff.df(datin, pvalues, FCs, FCflag = "logFC", FDRflag = "adj.P.Val")
|
Arguments
datin |
Dataframe from plot_cutoff_single. |
pvalues |
A set of p-values for FDR cutoff to be checked. |
FCs |
A set of fold change cutoff to be checked. |
FCflag |
The column name of the log2FC in the summary statistics table. |
FDRflag |
The column name of the False Discovery Rate (FDR) in the summary statistics table. |
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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