allMT (version 0.1.1)

compare_cohorts: Plot summarized maintenance therapy (MT) data to compare two or more cohorts

Description

Create an integrated summary graph facetted (by cohort). Graph illustrates weighted mean absolute neutrophil count (ANC) and dose information for each patient.

Usage

compare_cohorts(
  input_files_path,
  unit,
  anc_range,
  dose_intensity_threshold,
  method,
  intervention_date,
  group_data_path
)

Value

Comparative summary graph

Arguments

input_files_path

Path to folder with MT csv files (in quotes)

unit

Choose either "million" or "billion".

million

Million cells/L (x\(10^{6}\) cells/L or cells/\(\mu\)l)

billion

Billion cells/L (x\(10^{9}\) cells/L or x\(10^{3}\) cells/\(\mu\)l)

anc_range

Vector with lower and upper thresholds of absolute neutrophil count target range: (c(lower threshold, upper threshold))

Note

Ensure units of anc_range and patient data (unit) match.

dose_intensity_threshold

numeric value of reference drug dose intensity (%).

method

Choose from "M1" or "M2".

M1

Comparison of cohorts that started MT therapy before or after a particular date of intervention (intervention_date).

M2

Comparison of MT therapy between pre-determined groups.

intervention_date

Only applicable if method = "M1". Provide date in yyyy-mm-dd format (in quotes)

group_data_path

Only applicable for method = "M2". Path to EXCEL FILE containing "group" information. Ensure "ID" and "Group" columns are present.

See Also

summarize_cohortMT()

Examples

cohort_path = paste0(system.file("extdata/processed_data/", package = "allMT"), "/")
compare_cohorts(input_files_path = cohort_path,
        method = "M1", intervention_date = "2020-12-01",
        unit = "billion", anc_range = c(0.75, 1.5), dose_intensity_threshold = 100)

# \donttest{
group_path = system.file("extdata/grouped_data/group_data.xlsx", package = "allMT")
compare_cohorts(input_files_path = cohort_path,
       method = "M2", group_data_path = group_path,
       unit = "billion", anc_range = c(0.75, 1.5), dose_intensity_threshold = 80)
# }