as.bootstrap: Create a Bootstrap Table

In bergsmat/nonmemica: Create and Evaluate NONMEM Models in a Project Context

Create a Bootstrap Table

Description

Creates a bootstrap table.

Creates a bootstrap table from a PsN bootstrap results csv filepath. If x is not an existing file it is treated as a modelname and the results file is sought.

Usage

as.bootstrap(x, ...)

## S3 method for class 'character'
as.bootstrap(
  x,
  skip = 28,
  check.names = FALSE,
  lo = "5",
  hi = "95",
  verbose = TRUE,
  pattern = "bootstrap_results.csv",
  bootcsv = dir(modeldir(x, ...), pattern = pattern, recursive = TRUE, full.names = TRUE),
  ...
)

Arguments

x	character
...	passed to read.csv
skip	number of lines to skip in bootstrap_results.csv
check.names	passed to bootstrap reader
lo	the PsN bootstrap lower confidence limit (%)
hi	the PsN bootstrap upper confidence limit (%)
verbose	display messages
pattern	pattern to search for bootstrap file
bootcsv	path to bootstrap_results.csv or equivalent

Value

data.frame

data.frame

Methods (by class)

• as.bootstrap(character): character method

See Also

as.bootstrap.character

Other as.bootstrap: as.bootstrap.bootstrap(), as.bootstrap.numeric()

Other as.bootstrap: as.bootstrap.bootstrap(), as.bootstrap.numeric()

Examples

library(magrittr)
options(project = system.file('project/model',package='nonmemica'))
1001 %>% as.bootstrap

bergsmat/nonmemica documentation built on Sept. 15, 2023, 9:22 a.m.