This is for managing and understanding your PAR Odyssey Xtreem data
remotes::install_github("rfrancolini/parXtreem")
library(parXtreem)
x <- read_parXtreem()
x
## # A tibble: 9,121 x 5
## Temp PAR ID logDateTime DateTime
## <dbl> <dbl> <chr> <dbl> <dttm>
## 1 7.19 1622. FE23BC74DC01 1621022400 2021-05-14 20:00:00
## 2 7.13 739. FE23BC74DC01 1621023300 2021-05-14 20:15:00
## 3 7.13 206. FE23BC74DC01 1621024200 2021-05-14 20:30:00
## 4 7.19 957. FE23BC74DC01 1621025100 2021-05-14 20:45:00
## 5 7.19 443. FE23BC74DC01 1621026000 2021-05-14 21:00:00
## 6 7.25 635. FE23BC74DC01 1621026900 2021-05-14 21:15:00
## 7 7.25 834. FE23BC74DC01 1621027800 2021-05-14 21:30:00
## 8 7.38 695. FE23BC74DC01 1621028700 2021-05-14 21:45:00
## 9 7.44 433. FE23BC74DC01 1621029600 2021-05-14 22:00:00
## 10 7.5 364. FE23BC74DC01 1621030500 2021-05-14 22:15:00
## # ... with 9,111 more rows
parplot_x <- draw_plot(x)
parplot_x
ss <- as.POSIXct(c("2021-05-20", "2021-06-01"), tz = "UTC")
xud <- read_parXtreem(clipped = "user", startstop = ss)
xud
## # A tibble: 1,153 x 5
## Temp PAR ID logDateTime DateTime
## <dbl> <dbl> <chr> <dbl> <dttm>
## 1 9.5 955. FE23BC74DC01 1621454400 2021-05-19 20:00:00
## 2 9.38 873. FE23BC74DC01 1621455300 2021-05-19 20:15:00
## 3 9.31 765. FE23BC74DC01 1621456200 2021-05-19 20:30:00
## 4 9.31 666. FE23BC74DC01 1621457100 2021-05-19 20:45:00
## 5 8.75 566. FE23BC74DC01 1621458000 2021-05-19 21:00:00
## 6 8.31 473 FE23BC74DC01 1621458900 2021-05-19 21:15:00
## 7 8 412. FE23BC74DC01 1621459800 2021-05-19 21:30:00
## 8 7.81 356. FE23BC74DC01 1621460700 2021-05-19 21:45:00
## 9 7.81 297. FE23BC74DC01 1621461600 2021-05-19 22:00:00
## 10 7.81 246. FE23BC74DC01 1621462500 2021-05-19 22:15:00
## # ... with 1,143 more rows
parplot_xud <- draw_plot(xud)
parplot_xud
xna <- read_parXtreem(clipped = "none")
xna
## # A tibble: 9,166 x 5
## Temp PAR ID logDateTime DateTime
## <dbl> <dbl> <chr> <dbl> <dttm>
## 1 19.6 20.5 FE23BC74DC01 1620990900 2021-05-14 11:15:00
## 2 19.9 81.8 FE23BC74DC01 1620991800 2021-05-14 11:30:00
## 3 19.9 79.4 FE23BC74DC01 1620992700 2021-05-14 11:45:00
## 4 16.4 535. FE23BC74DC01 1620993600 2021-05-14 12:00:00
## 5 13.1 0 FE23BC74DC01 1620994500 2021-05-14 12:15:00
## 6 12 81.4 FE23BC74DC01 1620995400 2021-05-14 12:30:00
## 7 13.4 22.7 FE23BC74DC01 1620996300 2021-05-14 12:45:00
## 8 13.4 63.6 FE23BC74DC01 1620997200 2021-05-14 13:00:00
## 9 13.1 46.9 FE23BC74DC01 1620998100 2021-05-14 13:15:00
## 10 13.4 37.8 FE23BC74DC01 1620999000 2021-05-14 13:30:00
## # ... with 9,156 more rows
parplot_na <- draw_plot(xna)
parplot_na
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