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#' Create a Bootstrap Table
#'
#' Creates a bootstrap table.
#'
#' @param x object of dispatch
#' @param ... arguments to methods
#' @seealso \code{\link{as.bootstrap.character}}
#' @family as.bootstrap
#' @export
#' @keywords internal
#' @return data.frame
#' @examples
#' library(magrittr)
#' options(project = system.file('project/model',package='nonmemica'))
#' 1001 %>% as.bootstrap
as.bootstrap <- function(x,...)UseMethod('as.bootstrap')
#' Create Bootstrap from Bootstrap
#'
#' Creates bootstrap from bootstrap.
#'
#' @return data.frame
#' @param x bootstrap
#' @param ... ignored
#' @family as.bootstrap
#' @export
as.bootstrap.bootstrap <- function(x,...)x
#' Create Bootstrap from Numeric
#'
#' Creates bootstrap from numeric.
#'
#' @param x object of dispatch
#' @param ... arguments to methods
#' @return data.frame
#' @family as.bootstrap
#' @keywords internal
#' @export
as.bootstrap.numeric <- function(x,...)as.bootstrap(as.character(x),...)
#' Create a Bootstrap Table from Character
#'
#' Creates a bootstrap table from a PsN bootstrap results csv filepath. If \code{x} is not an existing file it is treated as a modelname and the results file is sought.
#'
#' @import magrittr
#' @param x character
#' @param ... passed to \code{\link{read.csv}}
#' @param skip number of lines to skip in bootstrap_results.csv
#' @param check.names passed to bootstrap reader
#' @param lo the PsN bootstrap lower confidence limit (\%)
#' @param hi the PsN bootstrap upper confidence limit (\%)
#' @param verbose display messages
#' @param pattern pattern to search for bootstrap file
#' @param bootcsv path to bootstrap_results.csv or equivalent
#' @return data.frame
#' @describeIn as.bootstrap character method
#' @family as.bootstrap
#' @export
as.bootstrap.character <- function(
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
),
...
){
if(!file_test('-f',x)){ # x is modelname
if(!length(bootcsv))stop('bootcsv: file(s) not found')
x <- rev(bootcsv)[[1]] # use last
}
if(verbose) message('reading ',x)
x <- utils::read.csv(x, skip=skip,check.names=check.names,as.is=TRUE,...)
y <- x
x <- x[c(1:8),]
row.names(x) <- text2decimal(x[,1])
x <- x[,-1]
x <- t(x)
x <- data.frame(x,stringsAsFactors = F,check.names=F)
suppressWarnings(x[] <- lapply(x,as.numeric))
x <- x[,names(x) %in% c(lo,hi)]
x
}
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