Rforecastio - API access to the Forecast API from R.

• Forecast API Docs: https://developer.forecast.io/docs/v2
• Forecast Dev site: https://developer.forecast.io/

NOTE: THIS IS A MAJOR REWRITE OF THE INTERFACE

The following functions are implemented:

• forecastio_api_key : Get or set FORECASTIO_API_KEY value
• get_current_forecast : Retrieve the current forecast (for the next week)
• get_forecast_for : Retrieve weather data for a specific place/time
• plot.rforecastio : Plot method for rforecastio objects

There have been several major enhancements to the way this package works with the API. Also, the structures returned in the list are now classes as rforecastio objects (which afford the use of an S3 plotting method) and the data frames are now tbl_df objects (so they work like regular data frames but get all the dplyr goodness, too).

News

• Version 2.0.0 released - complete overhaul of the package

Installation

devtools::install_github("hrbrmstr/Rforecastio")

Usage

library(Rforecastio)

## Loading required package: ggplot2

# current verison
packageVersion("Rforecastio")

## [1] '2.0.0'

now <- get_current_forecast(43.2672, -70.8617)
print(now$hourly)

## Source: local data frame [49 x 16]
## 
##                   time       summary                icon precipIntensity precipProbability temperature
## 1  2015-06-14 13:00:00         Clear           clear-day               0                 0       76.05
## 2  2015-06-14 14:00:00         Clear           clear-day               0                 0       77.10
## 3  2015-06-14 15:00:00         Clear           clear-day               0                 0       76.61
## 4  2015-06-14 16:00:00         Clear           clear-day               0                 0       75.49
## 5  2015-06-14 17:00:00         Clear           clear-day               0                 0       74.04
## 6  2015-06-14 18:00:00         Clear           clear-day               0                 0       71.94
## 7  2015-06-14 19:00:00 Partly Cloudy   partly-cloudy-day               0                 0       67.34
## 8  2015-06-14 20:00:00 Partly Cloudy   partly-cloudy-day               0                 0       64.24
## 9  2015-06-14 21:00:00 Partly Cloudy partly-cloudy-night               0                 0       61.00
## 10 2015-06-14 22:00:00 Partly Cloudy partly-cloudy-night               0                 0       59.09
## ..                 ...           ...                 ...             ...               ...         ...
## Variables not shown: apparentTemperature (dbl), dewPoint (dbl), humidity (dbl), windSpeed (dbl), windBearing (int),
##   visibility (dbl), cloudCover (dbl), pressure (dbl), ozone (dbl), precipType (chr)

then <- get_forecast_for(43.2672, -70.8617, "2013-05-06T12:00:00-0400")
print(then$daily)

## Source: local data frame [1 x 24]
## 
##         time          summary icon         sunriseTime          sunsetTime moonPhase precipIntensity precipIntensityMax
## 1 2013-05-06 Foggy overnight.  fog 2013-05-06 05:30:55 2013-05-06 19:51:42       0.9               0                  0
## Variables not shown: precipProbability (int), temperatureMin (dbl), temperatureMinTime (time), temperatureMax (dbl),
##   temperatureMaxTime (time), apparentTemperatureMin (dbl), apparentTemperatureMinTime (time), apparentTemperatureMax
##   (dbl), apparentTemperatureMaxTime (time), dewPoint (dbl), humidity (dbl), windSpeed (dbl), windBearing (int),
##   visibility (dbl), cloudCover (dbl), pressure (dbl)

print(sprintf("You have used %s API calls.", then$`x-forecast-api-calls`))

## [1] "You have used 25 API calls."

plot(now)

Test Results

library(Rforecastio)
library(testthat)

date()

## [1] "Sun Jun 14 13:59:09 2015"

test_dir("tests/")

## basic functionality :