This script allows you to perform different data visualizations using the results of the MetaProViz analysis Volcano plot visualization

Usage

viz_volcano(
  plot_types = "Standard",
  data,
  metadata_info = NULL,
  metadata_feature = NULL,
  data2 = NULL,
  y = "p.adj",
  x = "Log2FC",
  xlab = NULL,
  ylab = NULL,
  cutoff_x = 0.5,
  cutoff_y = 0.05,
  connectors = FALSE,
  select_label = "",
  plot_name = "",
  subtitle = "",
  name_comparison = c(data = "Cond1", data2 = "Cond2"),
  color_palette = NULL,
  shape_palette = NULL,
  theme = NULL,
  save_plot = "svg",
  path = NULL,
  feature = "Metabolites",
  print_plot = TRUE
)

Arguments

plot_types: Optional: Choose between "Standard" (data), "Compare" (plot two comparisons together data and data2) or "PEA" (Pathway Enrichment Analysis) Default = "Standard"
data: DF with metabolites as row names and columns including Log2FC and stat (p-value, p.adjusted) value columns.
metadata_info: Optional: NULL or Named vector including at least one of those three information for Settings="Standard" or "Compare": c(color ="ColumnName_metadata_feature", shape = "ColumnName_metadata_feature", individual="ColumnName_metadata_feature"). For Settings="PEA" a named vector with: PEA_Pathway="ColumnName_data2"=each pathway will be plotted, PEA_score="ColumnName_data2", PEA_stat= "ColumnName_data2"= usually p.adj column, "PEA_Feature="ColumnName_data2"= usually Metabolites), optionally you can additionally include c(color_Metab="ColumnName_metadata_feature", shape= "ColumnName_metadata_feature").Default = NULL
metadata_feature: Optional: DF with column including the Metabolite names (needs to match Metabolite names and Metabolite column name of data) and other columns with required plot_typeInfo. Default = NULL
data2: Optional: DF to compare to main Input_data with the same column names x and y (Settings="Compare") and metabolites as row names or Pathway enrichment analysis results (Settings="PEA"). Default = NULL
y: Optional: Column name including the values that should be used for y-axis. Usually this would include the p.adjusted value. Default = "p.adj"
x: Optional: Column name including the values that should be used for x-axis. Usually this would include the Log2FC value. Default = "Log2FC"
xlab: Optional: String to replace x-axis label in plot. Default = NULL
ylab: Optional: String to replace y-axis label in plot. Default = NULL
cutoff_x: Optional: Number of the desired log fold change cutoff for assessing significance. Default = 0.5
cutoff_y: Optional: Number of the desired p value cutoff for assessing significance. Default = 0.05
connectors: Optional: TRUE or FALSE for whether connectors from names to points are to be added to the plot. Default = FALSE
select_label: Optional: If set to NULL, feature labels will be plotted randomly. If vector is provided, e.g. c("MetaboliteName1", "MetaboliteName2"), selected names will be plotted. If set to default "", no feature names will be plotted. Default = ""
plot_name: Optional: String which is added to the output files of the plot. Default = ""
subtitle: Optional: Default = ""
name_comparison: Optional: Named vector including those information about the two datasets that are compared on the plots when choosing Settings= "Compare". Default = c(data="Cond1", data2= "Cond2")
color_palette: Optional: Provide customiced color-palette in vector format. Default = NULL
shape_palette: Optional: Provide customiced shape-palette in vector format. Default = NULL
theme: Optional: Selection of theme for plot, e.g. theme_grey(). You can check for complete themes here: https://ggplot2.tidyverse.org/reference/ggtheme.html. Default = NULL
save_plot: Optional: Select the file type of output plots. Options are svg, pdf, png or NULL. Default = "svg"
path: Optional: Path to the folder the results should be saved at. default: NULL
feature: Optional: Name of the feature that are plotted, e.g. "Metabolites", "RNA", "Proteins", "Genes", etc. Default = "metabolites"
print_plot: Optional: print the plots to the active graphic device.

Value

List with two elements: Plot and Plot_Sized

Examples

Intra <- intracell_dma%>%tibble::column_to_rownames("Metabolite")
Res <- MetaProViz::viz_volcano(data=Intra)