library(tidyverse)
library(clock)
dat_cov <- expand_grid(
year = 2021,
month = 1:3,
id = LETTERS[1:3]
) |>
mutate(
date = ISOdate(year = year, month = month, day = 1),
long = runif(n()),
lat = runif(n()),
temp = rpois(n = n(), 25),
rainfall = runif(n = n())
) |>
select(-year,
-month) |>
mutate(lag_date = add_months(x = date,
n = -1),
.after = date)
dat_lookup <- expand_grid(
year = 2020:2021,
month = 1:12,
id = LETTERS[1:3]
) |>
mutate(
date = ISOdate(year = year, month = month, day = 1),
temp = rpois(n = n(), 25),
rainfall = runif(n = n())
) |>
select(-year,
-month)
dat_lookup
#> # A tibble: 72 × 4
#> id date temp rainfall
#> <chr> <dttm> <int> <dbl>
#> 1 A 2020-01-01 12:00:00 14 0.585
#> 2 B 2020-01-01 12:00:00 24 0.142
#> 3 C 2020-01-01 12:00:00 29 0.464
#> 4 A 2020-02-01 12:00:00 15 0.852
#> 5 B 2020-02-01 12:00:00 27 0.618
#> 6 C 2020-02-01 12:00:00 21 0.688
#> 7 A 2020-03-01 12:00:00 27 0.0708
#> 8 B 2020-03-01 12:00:00 22 0.485
#> 9 C 2020-03-01 12:00:00 26 0.746
#> 10 A 2020-04-01 12:00:00 24 0.986
#> # … with 62 more rows
dat_cov
#> # A tibble: 9 × 7
#> id date lag_date long lat temp rainfall
#> <chr> <dttm> <dttm> <dbl> <dbl> <int> <dbl>
#> 1 A 2021-01-01 12:00:00 2020-12-01 12:00:00 0.761 0.855 30 0.441
#> 2 B 2021-01-01 12:00:00 2020-12-01 12:00:00 0.684 0.970 31 0.961
#> 3 C 2021-01-01 12:00:00 2020-12-01 12:00:00 0.947 0.436 24 0.573
#> 4 A 2021-02-01 12:00:00 2021-01-01 12:00:00 0.735 0.168 33 0.854
#> 5 B 2021-02-01 12:00:00 2021-01-01 12:00:00 0.540 0.0866 28 0.0777
#> 6 C 2021-02-01 12:00:00 2021-01-01 12:00:00 0.575 0.0345 29 0.230
#> 7 A 2021-03-01 12:00:00 2021-02-01 12:00:00 0.123 0.233 32 0.880
#> 8 B 2021-03-01 12:00:00 2021-02-01 12:00:00 0.238 0.0780 25 0.0198
#> 9 C 2021-03-01 12:00:00 2021-02-01 12:00:00 0.482 0.319 21 0.272
add_months(x = dat_cov$date[1], n = -1)
#> [1] "2020-12-01 12:00:00 GMT"Created on 2022-08-09 by the reprex package (v2.0.1)
Session info
sessioninfo::session_info()
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#> sessioninfo 1.2.2 2021-12-06 [1] CRAN (R 4.2.0)
#> stringi 1.7.6 2021-11-29 [1] CRAN (R 4.2.0)
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#>
#> ──────────────────────────────────────────────────────────────────────────────