library("dplyr")
library("tidyr")
library("readr")
library("stringr")
library("lubridate")
all_site_info <- read_csv("all_site_info.csv") %>%
mutate(siteID = factor(toupper(siteID)),
# parsing date seeded
date_seeded = lubridate::mdy(date_seeded),
# adding age based on age at January 1st 2020
age_days = interval(date_seeded, lubridate::dmy("01-01-2020")),
age_yrs = round(time_length(age_days, unit = "year"), 1),
# convert area to acres/hectares
#acres_in_strips = area_in_strips*0.000247105, # getting rid of non-SI unit
hectares_in_strips = area_in_strips*0.0001,
# lumping winter seeded sites (n = 2) with the fall
season_seeded = dplyr::recode(season_seeded,
"winter" = "fall-winter",
"fall" = "fall-winter")) %>%
select(-age_days)%>%
arrange(siteID)
usethis::use_data(all_site_info, overwrite = TRUE)
species_list <- read_csv("species_list.csv")%>%
# capilatizing first letters
mutate(full_name = str_to_sentence(full_name),
common_name = str_to_sentence(common_name),
# making a new variable with even simpler group names
group_simple = dplyr::recode(group,
"prairie C3 grass" = "prairie grass",
"prairie C4 grass" = "prairie grass",
"prairie sedge" = "prairie grass",
"weedy C3 grass" = "weedy grass",
"weedy C4 grass" = "weedy grass",
"weedy sedge" = "weedy grass",
"fern" = "other",
"rush" = "other",
"wetland forb" = "other"))
usethis::use_data(species_list, overwrite = TRUE)
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