plot_signif: Plotting Significant features data

In umerijaz/microbiomeSeq: Microbial community analysis in an environmental context.

Description

This function takes data generated from differential expression analysis functions (see kruskal_expression, differential_abundance) and returns ggplot objects showing different visualisation given the available parameters.

Usage

plot_signif(df = NULL, top.taxa = 20, ...)

Arguments

df	(optional). A data.frame returned by kruskal_expression, differential_abundance
top.taxa	An integer specifying the number of top taxa to be visualised.
df_accuracy(optional).	A data.frame of feature importance information.
res_tax	(optional). A data.frame bearing results for plotting MA plot.
corrections_table	(optional). A data.frame containing multiple testing corrections information.

Value

Returns ggplot object(s). This can further be manipulated as preferred by user.

Author(s)

Alfred Ssekagiri [e-mail], Umer Zeeshan Ijaz [e-mail]

References

http://userweb.eng.gla.ac.uk/umer.ijaz/, Umer Ijaz, 2015

Examples

p <- plot_signif(deseq_sig$plotdata)
print(p)

umerijaz/microbiomeSeq documentation built on May 30, 2019, 3:13 p.m.