I've bumped up the version number of Rforecastio to 1.3.0. The new
feature is:
- added support for
time.formatterparameter so you can specify eitheras.POSIXltoras.POSIXctas a parameter (defaults toas.POSIXlt)
VERSION HISTORY
Version 1.2.0:
I've bumped up the version number of Rforecastio to 1.2.0. The new features are:
- fixed horrible bug in the package code that will finally teach me to clear the environment before testing
- added
...to thefio.forecastfunction call to let users pass inssl.verifypeer=FALSEandproxy="host:port"options (any CURL options, actually). h/t Stefan Fritsch - using
plyrfor easier conversion of JSON->data frame - adding in a new
dailyforecast data frame - roxygen2 inline documentation
- the
minutelyconversion code now handles missing element properly
This is a simple R interface to forecast.io weather data. It uses RCurl and RJSONIO and plyr to fetch and extract the JSON weather/forecast data from http://forecast.io and returns the metadata and readings
- forecast.io API Docs: https://developer.forecast.io/docs/v2
- forecast.io Dev site: https://developer.forecast.io/
Install it from straight from github:
library(devtools)
install_github("Rforecastio", "hrbrmstr")
Usage quick start:
library(Rforecastio)
library(ggplot2)
library(plyr)
# NEVER put API keys in revision control systems or source code!
fio.api.key= readLines("~/.forecast.io")
my.latitude = "43.2673"
my.longitude = "-70.8618"
# can add proxy='host:port' and ssl.verifypeer=FALSE to the end of the fio.forecast call
fio.list <- fio.forecast(fio.api.key, my.latitude, my.longitude, sslverifypeer=FALSE)
fio.gg <- ggplot(data=fio.list$hourly.df, aes(x=time, y=temperature))
fio.gg <- fio.gg + labs(y="Readings", x="", title="Hourly Readings")
fio.gg <- fio.gg + geom_line(aes(y=humidity*100), color="green", size=0.25)
fio.gg <- fio.gg + geom_line(aes(y=temperature), color="red", size=0.25)
fio.gg <- fio.gg + geom_line(aes(y=dewPoint), color="blue", size=0.25)
fio.gg <- fio.gg + theme_bw()
fio.gg
fio.gg <- ggplot(data=fio.list$daily.df, aes(x=time, y=temperature))
fio.gg <- fio.gg + labs(y="Readings", x="", title="Daily Readings")
fio.gg <- fio.gg + geom_line(aes(y=humidity*100), color="green", size=0.25)
fio.gg <- fio.gg + geom_line(aes(y=temperatureMax), color="red", size=0.25)
fio.gg <- fio.gg + geom_line(aes(y=temperatureMin), color="red", linetype=2, size=0.25)
fio.gg <- fio.gg + geom_line(aes(y=dewPoint), color="blue", size=0.25)
fio.gg <- fio.gg + theme_bw()
fio.gg
Hit: http://rud.is/b/tag/rforecastio/ occassionally to see if the blog has any more info (it will!)