This updates incorporates recently cleaned data from 2020 to 2023. This dataset partly overlaps with the previous dataset from 2015 to 2020, so I removed the duplicate observations from the second dataset from 2015 to 2020.
dat_phenophase <- tidy_phenophase()
setwd("phenologyb4warmed/")
usethis::use_data(dat_phenophase, overwrite = T)
setwd("..")I provide this version with outliers removed manually using time range that I specify.
dat_phenophase_time_clean <- calc_phenophase_time(dat_phenophase, remove_outlier = T)
dat_phenophase_clean <- tidy_phenophase(remove_outlier = T, dat_phenophase_time = dat_phenophase_time_clean)
setwd("phenologyb4warmed/")
usethis::use_data(dat_phenophase_time_clean, overwrite = T)
usethis::use_data(dat_phenophase_clean, overwrite = T)
setwd("..")I also handled mortality data in the shoot dataset more carefully. Take care to use the alive column to filter out dead individuals in the future.
dat_shoot <- tidy_shoot()
setwd("phenologyb4warmed/")
usethis::use_data(dat_shoot, overwrite = T)
setwd("..")