Sample Nonparametric Ordinal Data Points

Returns only the binned patient-level data summary points from sample_nonparametric_ordinal_data(). Accepts the same parameters and returns a plain data.frame.

Usage

sample_nonparametric_ordinal_points(
  n = 1000,
  time_max = 5,
  n_points = 500,
  grade_labels = c("Grade 0", "Grade 1", "Grade 2", "Grade 3"),
  n_bins = 10,
  seed = 42L
)

Arguments

n

Number of simulated patients (controls CI width and data-point variability). Default 1000.

time_max

Upper end of the time axis (years). Default 5.

n_points

Number of time points on the prediction grid. Default 500.

grade_labels

Character vector of grade labels, one per grade level in ascending order. Default c("Grade 0", "Grade 1", "Grade 2", "Grade 3").

n_bins

Number of equal-sized bins for the data summary points. Default 10.

seed

Random seed. Default 42.

Value

A data frame with columns time, value, grade.

See also

sample_nonparametric_ordinal_data(), hv_ordinal()

Examples

# Default: four grade levels
pts <- sample_nonparametric_ordinal_points(n = 800, time_max = 5)
head(pts)
#>        time  value   grade
#> 1 0.2749088 0.7375 Grade 0
#> 2 0.7282107 0.7625 Grade 0
#> 3 1.2073787 0.8375 Grade 0
#> 4 1.7148634 0.9125 Grade 0
#> 5 2.1953343 0.8000 Grade 0
#> 6 2.6358690 0.8000 Grade 0
levels(pts$grade)
#> [1] "Grade 0" "Grade 1" "Grade 2" "Grade 3"

# Clinical AR grade labels
pts2 <- sample_nonparametric_ordinal_points(
  n            = 600,
  time_max     = 7,
  grade_labels = c("None", "Mild", "Moderate", "Severe")
)
table(pts2$grade)
#> 
#>     None     Mild Moderate   Severe 
#>       10       10       10       10