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update readme
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andypicke committed May 14, 2024
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6 changes: 5 additions & 1 deletion README.Rmd
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[![Lifecycle: experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental)
<!-- badges: end -->

The goal of rcoagmet is to provide functions for downloading data from [CoAgMet](https://coagmet.colostate.edu/) weather stations, using their [Data API](https://coagmet.colostate.edu/data/doc.html).
The goal of [rcoagmet](emberr (https://github.com/andypicke/emberr) is to provide functions for downloading data from [CoAgMet](https://coagmet.colostate.edu/) weather stations, using their [Data API](https://coagmet.colostate.edu/data/doc.html).

See also this [blog post](https://andypicke.quarto.pub/portfolio/posts/rcoagmet/rcoagmet.html) describing the package and showing some examples.



# Installation

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36 changes: 21 additions & 15 deletions README.md
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experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental)
<!-- badges: end -->

The goal of rcoagmet is to provide functions for downloading data from
[CoAgMet](https://coagmet.colostate.edu/) weather stations, using their
[Data API](https://coagmet.colostate.edu/data/doc.html).
The goal of [rcoagmet](#rcoagmet)(emberr
(<https://github.com/andypicke/emberr>) is to provide functions for
downloading data from [CoAgMet](https://coagmet.colostate.edu/) weather
stations, using their [Data
API](https://coagmet.colostate.edu/data/doc.html).

See also this [blog
post](https://andypicke.quarto.pub/portfolio/posts/rcoagmet/rcoagmet.html)
describing the package and showing some examples.

# Installation

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#> # A tibble: 6 × 15
#> station date_and_time air_temp rh dewpoint solar_rad x5min_precip
#> <chr> <dttm> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 akr02 2024-05-10 09:00:00 53.3 0.648 41.7 624. NA
#> 2 alt01 2024-05-10 09:00:00 51.2 0.567 36.4 333 NA
#> 3 avn01 2024-05-10 09:20:00 47.2 0.868 43.5 246. 0
#> 4 bla01 2024-05-10 09:20:00 35.3 0.922 33.3 727. 0
#> 5 bnv01 2024-05-10 09:20:00 35.3 0.879 32.1 53.9 0
#> 6 brg01 2024-05-10 09:00:00 55.0 0.53 38.2 524. NA
#> 1 akr02 2024-05-14 08:00:00 61.2 0.604 47.3 447. NA
#> 2 alt01 2024-05-14 08:00:00 63.6 0.442 41.4 405. NA
#> 3 avn01 2024-05-14 08:50:00 67.9 0.471 47.0 416. 0
#> 4 bla01 2024-05-14 08:55:00 56.7 0.43 34.4 677 0
#> 5 bnv01 2024-05-14 08:50:00 56.9 0.408 33.3 711. 0
#> 6 brg01 2024-05-14 08:00:00 63.3 0.479 43.2 243. NA
#> # ℹ 8 more variables: hourly_precip <dbl>, wind <dbl>, wind_dir <dbl>,
#> # gust_speed <dbl>, gust_dir <dbl>, x5cm_soil_temp <dbl>,
#> # x15cm_soil_temp <dbl>, date <date>
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#> # A tibble: 6 × 14
#> station date_and_time air_temp rh dewpoint solar_rad precip wind
#> <chr> <dttm> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 den01 2024-05-05 00:00:00 53.8 0.409 30.5 0 0 2.99
#> 2 den01 2024-05-05 01:00:00 51.9 0.466 32.1 0 0 2.52
#> 3 den01 2024-05-05 02:00:00 50.4 0.533 34.0 0 0 1.84
#> 4 den01 2024-05-05 03:00:00 49.4 0.569 34.8 0 0 2.81
#> 5 den01 2024-05-05 04:00:00 46.7 0.604 33.7 0 0 3
#> 6 den01 2024-05-05 05:00:00 45.5 0.595 32.2 1.87 0 2.89
#> 1 den01 2024-05-09 00:00:00 48.2 0.262 15.1 0 0 1.93
#> 2 den01 2024-05-09 01:00:00 48 0.255 14.3 0 0 2.15
#> 3 den01 2024-05-09 02:00:00 47.8 0.255 14.1 0 0 1.28
#> 4 den01 2024-05-09 03:00:00 47.2 0.284 16.1 0 0 0.68
#> 5 den01 2024-05-09 04:00:00 46.3 0.329 18.7 0 0 1.65
#> 6 den01 2024-05-09 05:00:00 46.2 0.347 19.8 0.82 0 3.1
#> # ℹ 6 more variables: wind_dir <dbl>, gust_speed <dbl>, gust_dir <dbl>,
#> # x5cm_soil_temp <dbl>, x15cm_soil_temp <dbl>, date <date>
```
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