plot_accuracy | R Documentation |
Compare coefficients of variation of quantifications between data sets.
plot_accuracy( list_of_data_lists, colors = c("darkgrey", "chocolate3"), Legendpos = "topleft", margins = c(2, 4, 4, 10), inset = c(-0.435, 0), Annotation_column = 1, plot_for = c("both", "protein", "peptide"), allow_missing_values = F, representation_of = c("total", "per group", "per intensity"), show_numbers = T, numbers_size = 1, round_to_k = T )
list_of_data_lists |
List object containing lists of loaded MaxQuant or IceR data. Requires sample annotation to be added by function add_annotations(). |
colors |
Colors for data sets to be compared. By default two colors are specified ("darkgrey","chocolate3") |
Legendpos |
Location of legend, By default set to "top" |
margins |
Margins aroung plot area. By default set to c(12,4,4,9) |
inset |
Inset of legend. By default set to c(-0.435,0) |
Annotation_column |
Which annotation column should be used to determine between which samples variability should be determined. By default set to 1. |
plot_for |
Specify if plots should be generated for protein-level ("protein"), peptide-level ("peptide") or both ("both"). By default set to "both". |
allow_missing_values |
Indicate if missing values are allowed during variability estimation. By default set to F. |
representation_of |
Indicate how results should be visualized. Select between "total","per group","per intensity". "total" = aggregate CVs into a single boxplot per data set. "per group" = aggregate CVs per annotation group per data set. "per intensity" = plot per data set CVs binned by protein/peptide abundance. By default set to "total". |
show_numbers |
Indicate if counts of available CVs per boxplot should be plotted. By default set to T. |
numbers_size |
Numeric value specifying plotting size of CV counts. By default set to 1. |
round_to_k |
Indicate if CV counts should be rounded to 1000 (K). By default set to T. |
Compare CVs between data sets.
Comparison plots
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