Lollipop plot for metric single-agent data to control quality of the data

Lollipop plot for metric single-agent data to control quality of the data

Usage

plot_var_stat_qc(
  dt_assay,
  cl_name,
  metric = "r2",
  normalization_type = "GR",
  with_table = FALSE
)

Arguments

dt_assay

data.table representing data from the Metrics assay, outputted by gDRutils::convert_se_assay_to_dt(se, "Metrics") and single-agent SummarizedExperiment

cl_name

string cell line name to be plotted (Cell Line Name)

metric

string with variable name to be plotted; it has to be in dt_assay

normalization_type

string with normalization_types to be selected one of: "GR" ("GRvalue") or "RV" ("RelativeViability")

with_table

logical whether table with metric values should be shown next to the plot

Value

ggplot object containing lollipop plot with stat value for each drug

Author

Bartosz Czech czech.bartosz@external.gene.com

Examples

mae <- gDRutils::get_synthetic_data("small")
se <- mae[[gDRutils::get_supported_experiments("sa")]]

dt_metrics <- gDRutils::convert_se_assay_to_dt(se, "Metrics")
cl_name <- dt_metrics[["CellLineName"]][1]

plot_var_stat_qc(dt_assay = dt_metrics,
                 cl_name = cl_name)


plot_var_stat_qc(dt_assay = dt_metrics,
                 cl_name = cl_name,
                 metric = "r2",
                 normalization_type = "RV")


plot_var_stat_qc(dt_assay = dt_metrics,
                 cl_name = cl_name,
                 metric = "x_AOC",
                 normalization_type = "RV",
                 with_table = TRUE)