## code to prepare `example_wcont-raw-data` data set goes here
# fix random number generator, strip off extraneous columns,
# remove missing observations, then select 5 rows from the data set to use. Return
# the random number generator to its initial state.
set.seed(10)
example_wcont <- readr::read_csv(
'inst/extdata/example_wcont-raw-data.csv',
lazy = FALSE) %>%
tibble::as_tibble() %>%
dplyr::select(tin_w_wet_sample, tin_w_OD_sample, tin_tare) %>%
tidyr::drop_na() %>%
dplyr::slice(sample(132, size=5, replace = FALSE))
set.seed(NULL)
example_wcont
usethis::use_data(example_wcont, overwrite = TRUE)
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