R/RcppExports.R

In collapse: Advanced and Fast Data Transformation

# Generated by using Rcpp::compileAttributes() -> do not edit by hand
# Generator token: 10BE3573-1514-4C36-9D1C-5A225CD40393

BWCpp <- function(x, ng = 0L, g = 0L, gs = NULL, w = NULL, narm = TRUE, theta = 1, set_mean = 0, B = FALSE, fill = FALSE) {
    .Call(`_collapse_BWCpp`, x, ng, g, gs, w, narm, theta, set_mean, B, fill)
}

BWmCpp <- function(x, ng = 0L, g = 0L, gs = NULL, w = NULL, narm = TRUE, theta = 1, set_mean = 0, B = FALSE, fill = FALSE) {
    .Call(`_collapse_BWmCpp`, x, ng, g, gs, w, narm, theta, set_mean, B, fill)
}

BWlCpp <- function(x, ng = 0L, g = 0L, gs = NULL, w = NULL, narm = TRUE, theta = 1, set_mean = 0, B = FALSE, fill = FALSE) {
    .Call(`_collapse_BWlCpp`, x, ng, g, gs, w, narm, theta, set_mean, B, fill)
}

fbstatsCpp <- function(x, ext = FALSE, ng = 0L, g = 0L, npg = 0L, pg = 0L, w = NULL, stable_algo = TRUE, array = TRUE, setn = TRUE, gn = NULL) {
    .Call(`_collapse_fbstatsCpp`, x, ext, ng, g, npg, pg, w, stable_algo, array, setn, gn)
}

fbstatsmCpp <- function(x, ext = FALSE, ng = 0L, g = 0L, npg = 0L, pg = 0L, w = NULL, stable_algo = TRUE, array = TRUE, gn = NULL) {
    .Call(`_collapse_fbstatsmCpp`, x, ext, ng, g, npg, pg, w, stable_algo, array, gn)
}

fbstatslCpp <- function(x, ext = FALSE, ng = 0L, g = 0L, npg = 0L, pg = 0L, w = NULL, stable_algo = TRUE, array = TRUE, gn = NULL) {
    .Call(`_collapse_fbstatslCpp`, x, ext, ng, g, npg, pg, w, stable_algo, array, gn)
}

fdiffgrowthCpp <- function(x, n = 1L, diff = 1L, fill = NA_real_, ng = 0L, g = 0L, gs = NULL, t = NULL, ret = 1L, rho = 1, names = TRUE, power = 1) {
    .Call(`_collapse_fdiffgrowthCpp`, x, n, diff, fill, ng, g, gs, t, ret, rho, names, power)
}

fdiffgrowthmCpp <- function(x, n = 1L, diff = 1L, fill = NA_real_, ng = 0L, g = 0L, gs = NULL, t = NULL, ret = 1L, rho = 1, names = TRUE, power = 1) {
    .Call(`_collapse_fdiffgrowthmCpp`, x, n, diff, fill, ng, g, gs, t, ret, rho, names, power)
}

fdiffgrowthlCpp <- function(x, n = 1L, diff = 1L, fill = NA_real_, ng = 0L, g = 0L, gs = NULL, t = NULL, ret = 1L, rho = 1, names = TRUE, power = 1) {
    .Call(`_collapse_fdiffgrowthlCpp`, x, n, diff, fill, ng, g, gs, t, ret, rho, names, power)
}

flagleadCpp <- function(x, n = 1L, fill = NULL, ng = 0L, g = 0L, t = NULL, names = TRUE) {
    .Call(`_collapse_flagleadCpp`, x, n, fill, ng, g, t, names)
}

flagleadmCpp <- function(x, n = 1L, fill = NULL, ng = 0L, g = 0L, t = NULL, names = TRUE) {
    .Call(`_collapse_flagleadmCpp`, x, n, fill, ng, g, t, names)
}

flagleadlCpp <- function(x, n = 1L, fill = NULL, ng = 0L, g = 0L, t = NULL, names = TRUE) {
    .Call(`_collapse_flagleadlCpp`, x, n, fill, ng, g, t, names)
}

fscaleCpp <- function(x, ng = 0L, g = 0L, w = NULL, narm = TRUE, set_mean = 0, set_sd = 1) {
    .Call(`_collapse_fscaleCpp`, x, ng, g, w, narm, set_mean, set_sd)
}

fscalemCpp <- function(x, ng = 0L, g = 0L, w = NULL, narm = TRUE, set_mean = 0, set_sd = 1) {
    .Call(`_collapse_fscalemCpp`, x, ng, g, w, narm, set_mean, set_sd)
}

fscalelCpp <- function(x, ng = 0L, g = 0L, w = NULL, narm = TRUE, set_mean = 0, set_sd = 1) {
    .Call(`_collapse_fscalelCpp`, x, ng, g, w, narm, set_mean, set_sd)
}

fvarsdCpp <- function(x, ng = 0L, g = 0L, gs = NULL, w = NULL, narm = TRUE, stable_algo = TRUE, sd = TRUE) {
    .Call(`_collapse_fvarsdCpp`, x, ng, g, gs, w, narm, stable_algo, sd)
}

fvarsdmCpp <- function(x, ng = 0L, g = 0L, gs = NULL, w = NULL, narm = TRUE, stable_algo = TRUE, sd = TRUE, drop = TRUE) {
    .Call(`_collapse_fvarsdmCpp`, x, ng, g, gs, w, narm, stable_algo, sd, drop)
}

fvarsdlCpp <- function(x, ng = 0L, g = 0L, gs = NULL, w = NULL, narm = TRUE, stable_algo = TRUE, sd = TRUE, drop = TRUE) {
    .Call(`_collapse_fvarsdlCpp`, x, ng, g, gs, w, narm, stable_algo, sd, drop)
}

mrtl <- function(X, names = FALSE, ret = 0L) {
    .Call(`_collapse_mrtl`, X, names, ret)
}

mctl <- function(X, names = FALSE, ret = 0L) {
    .Call(`_collapse_mctl`, X, names, ret)
}

psmatCpp <- function(x, g, t = NULL, transpose = FALSE) {
    .Call(`_collapse_psmatCpp`, x, g, t, transpose)
}

pwnobsmCpp <- function(x) {
    .Call(`_collapse_pwnobsmCpp`, x)
}

qFCpp <- function(x, ordered = TRUE, na_exclude = TRUE, keep_attr = TRUE, ret = 1L) {
    .Call(`_collapse_qFCpp`, x, ordered, na_exclude, keep_attr, ret)
}

sortuniqueCpp <- function(x) {
    .Call(`_collapse_sortuniqueCpp`, x)
}

fdroplevelsCpp <- function(x, check_NA = TRUE) {
    .Call(`_collapse_fdroplevelsCpp`, x, check_NA)
}

seqid <- function(x, o = NULL, del = 1L, start = 1L, na_skip = FALSE, skip_seq = FALSE, check_o = TRUE) {
    .Call(`_collapse_seqid`, x, o, del, start, na_skip, skip_seq, check_o)
}

groupid <- function(x, o = NULL, start = 1L, na_skip = FALSE, check_o = TRUE) {
    .Call(`_collapse_groupid`, x, o, start, na_skip, check_o)
}

varyingCpp <- function(x, ng = 0L, g = 0L, any_group = TRUE) {
    .Call(`_collapse_varyingCpp`, x, ng, g, any_group)
}

varyingmCpp <- function(x, ng = 0L, g = 0L, any_group = TRUE, drop = TRUE) {
    .Call(`_collapse_varyingmCpp`, x, ng, g, any_group, drop)
}

varyinglCpp <- function(x, ng = 0L, g = 0L, any_group = TRUE, drop = TRUE) {
    .Call(`_collapse_varyinglCpp`, x, ng, g, any_group, drop)
}