plot_boxplot | R Documentation |
Takes a metabolomics count data frame and creates boxplots. It is recommended to either subset, truncate, or agglomerate by hierarchical metadata.
plot_boxplot(
count_data,
metadata,
aggregate_by,
log_transform = FALSE,
Factor,
response_variable = "Metabolite",
fill_list
)
count_data |
A metabolomics count data frame, either from read_metabo or omu_summary |
metadata |
The descriptive meta data for the samples |
aggregate_by |
Hierarchical metadata value to sum metabolite values by, i.e. "Class" |
log_transform |
TRUE or FALSE. Recommended for visualization purposes. If true data is transformed by the natural log |
Factor |
The column name for the experimental variable |
response_variable |
The response variable for the data, i.e. "Metabolite" |
fill_list |
Colors for the plot which is colored by Factor, in the form of c("") |
c57_nos2KO_mouse_countDF <- c57_nos2KO_mouse_countDF[1:5,]
c57_nos2KO_mouse_countDF <- assign_hierarchy(c57_nos2KO_mouse_countDF, TRUE, "KEGG")
plot_boxplot(count_data = c57_nos2KO_mouse_countDF, metadata = c57_nos2KO_mouse_metadata,
log_transform = TRUE, Factor = "Treatment", response_variable = "Metabolite",
aggregate_by = "Subclass_2", fill_list = c("darkgoldenrod1", "dodgerblue2"))
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