Rforecastio Package Update (1.1.0)
[This article was first published on rud.is » R, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
I’ve bumped up the version number of Rforecastio (github) to 1.1.0. The new
features are:
- removing the SSL certificate bypass check (it doesn’t need it anymore)
- using
plyrfor easier conversion of JSON->data frame - adding in a new
dailyforecast data frame - roxygen2 inline documentation
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"
fio.list <- fio.forecast(fio.api.key, my.latitude, my.longitude)
fio.gg <- ggplot(data=fio.list$hourly.df, aes(x=time, y=temperature))
fio.gg <- fio.gg + labs(y="Readings", x="Time", title="Houry Readings")
fio.gg <- fio.gg + geom_line(aes(y=humidity*100), color="green")
fio.gg <- fio.gg + geom_line(aes(y=temperature), color="red")
fio.gg <- fio.gg + geom_line(aes(y=dewPoint), color="blue")
fio.gg <- fio.gg + theme_bw()
fio.gg |
fio.gg <- ggplot(data=fio.list$daily.df, aes(x=time, y=temperature)) fio.gg <- fio.gg + labs(y="Readings", x="Time", title="Daily Readings") fio.gg <- fio.gg + geom_line(aes(y=humidity*100), color="green") fio.gg <- fio.gg + geom_line(aes(y=temperatureMax), color="red") fio.gg <- fio.gg + geom_line(aes(y=temperatureMin), color="red", linetype=2) fio.gg <- fio.gg + geom_line(aes(y=dewPoint), color="blue") fio.gg <- fio.gg + theme_bw() fio.gg |
To leave a comment for the author, please follow the link and comment on their blog: rud.is » R.
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.