This is for managing and understanding your HOBO temperature data
remotes::install_github("rfrancolini/hobotemp")
library(hobotemp)
x <- read_hobotemp()
x
## # A tibble: 9,025 x 5
## Reading DateTime Temp Intensity Site
## <int> <dttm> <dbl> <dbl> <chr>
## 1 85 2021-05-15 00:04:32 7.68 0 Little Drisko
## 2 86 2021-05-15 00:19:32 7.68 0 Little Drisko
## 3 87 2021-05-15 00:34:32 7.78 0 Little Drisko
## 4 88 2021-05-15 00:49:32 7.78 0 Little Drisko
## 5 89 2021-05-15 01:04:32 7.78 2 Little Drisko
## 6 90 2021-05-15 01:19:32 7.68 9 Little Drisko
## 7 91 2021-05-15 01:34:32 7.68 20 Little Drisko
## 8 92 2021-05-15 01:49:32 7.78 37 Little Drisko
## 9 93 2021-05-15 02:04:32 7.78 69 Little Drisko
## 10 94 2021-05-15 02:19:32 7.78 57 Little Drisko
## # ... with 9,015 more rows
tempplot_x <- draw_plot(x)
tempplot_x
ss <- as.POSIXct(c("2021-05-20", "2021-06-01"), tz = "UTC")
xud <- read_hobotemp(clipped = "user", startstop = ss)
xud
## # A tibble: 1,152 x 5
## Reading DateTime Temp Intensity Site
## <int> <dttm> <dbl> <dbl> <chr>
## 1 565 2021-05-20 00:04:32 9.08 0 Little Drisko
## 2 566 2021-05-20 00:19:32 9.08 0 Little Drisko
## 3 567 2021-05-20 00:34:32 9.08 0 Little Drisko
## 4 568 2021-05-20 00:49:32 9.18 0 Little Drisko
## 5 569 2021-05-20 01:04:32 9.18 0 Little Drisko
## 6 570 2021-05-20 01:19:32 8.88 0 Little Drisko
## 7 571 2021-05-20 01:34:32 8.78 0 Little Drisko
## 8 572 2021-05-20 01:49:32 8.68 0 Little Drisko
## 9 573 2021-05-20 02:04:32 8.58 0 Little Drisko
## 10 574 2021-05-20 02:19:32 8.58 0 Little Drisko
## # ... with 1,142 more rows
tempplot_xud <- draw_plot(xud)
tempplot_xud
xna <- read_hobotemp(clipped = "none")
xna
## # A tibble: 9,169 x 5
## Reading DateTime Temp Intensity Site
## <int> <dttm> <dbl> <dbl> <chr>
## 1 1 2021-05-14 03:19:32 20.1 1 Little Drisko
## 2 2 2021-05-14 03:19:59 NA NA Little Drisko
## 3 3 2021-05-14 03:34:32 20.5 36 Little Drisko
## 4 4 2021-05-14 03:49:32 20.5 37 Little Drisko
## 5 5 2021-05-14 04:04:32 15.5 26 Little Drisko
## 6 6 2021-05-14 04:19:32 14.0 25 Little Drisko
## 7 7 2021-05-14 04:34:32 14.7 38 Little Drisko
## 8 8 2021-05-14 04:49:32 14.7 123 Little Drisko
## 9 9 2021-05-14 05:04:32 13.9 60 Little Drisko
## 10 10 2021-05-14 05:19:32 15.3 35 Little Drisko
## # ... with 9,159 more rows
tempplot_na <- draw_plot(xna)
tempplot_na