more docs

man/factorize.Rd

@@ -18,5 +18,5 @@ data.frame
 Factorize variables in data.frame
 }
 \examples{
-factorize(mtcars,names(mtcars))
+factorize(mtcars, names(mtcars))
 }

man/is_identical_to_previous.Rd

@@ -0,0 +1,24 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/helpers.R
+\name{is_identical_to_previous}
+\alias{is_identical_to_previous}
+\title{Test if element is identical to the previous}
+\usage{
+is_identical_to_previous(data, no.name = TRUE)
+}
+\arguments{
+\item{data}{data. vector, data.frame or list}
+
+\item{no.name}{logical to remove names attribute before testing}
+}
+\value{
+logical vector
+}
+\description{
+Test if element is identical to the previous
+}
+\examples{
+c(1, 1, 2, 3, 3, 2, 4, 4) |> is_identical_to_previous()
+mtcars[c(1, 1, 2, 3, 3, 2, 4, 4)] |> is_identical_to_previous()
+list(1, 1, list(2), "A", "a", "a") |> is_identical_to_previous()
+}

man/remove_empty_attr.Rd

@@ -16,11 +16,15 @@ data of same class as input
 Remove empty/NA attributes
 }
 \examples{
-ds <- mtcars |> lapply(\(.x) REDCapCAST::set_attr(.x, label = NA, attr = "label")) |> dplyr::bind_cols()
+ds <- mtcars |>
+  lapply(\(.x) REDCapCAST::set_attr(.x, label = NA, attr = "label")) |>
+  dplyr::bind_cols()
 ds |>
   remove_empty_attr() |>
   str()
- mtcars |> lapply(\(.x) REDCapCAST::set_attr(.x, label = NA, attr = "label")) |> remove_empty_attr() |>
+mtcars |>
+  lapply(\(.x) REDCapCAST::set_attr(.x, label = NA, attr = "label")) |>
+  remove_empty_attr() |>
   str()
 
 }

man/subset_types.Rd

@@ -21,6 +21,6 @@ Easily subset by data type function
 }
 \examples{
 default_parsing(mtcars) |> subset_types("ordinal")
-default_parsing(mtcars) |> subset_types(c("dichotomous", "ordinal", "categorical"))
+default_parsing(mtcars) |> subset_types(c("dichotomous", "categorical"))
 #' default_parsing(mtcars) |> subset_types("factor",class)
 }