Here's an example workflow for rnoaa
.
Note that you can alternatively install the development version of rnoaa
from Github by doing
install.packages("devtools")
library("devtools")
install_github("ropensci/rnoaa")
library("shiny") | |
library("plotly") | |
library("ggplot2") | |
shinyServer(function(input, output) { | |
output$text <- renderText({ | |
ggiris <- qplot(Petal.Width, Sepal.Length, data=iris, color=Species) | |
py <- plotly("RgraphingAPI", "ektgzomjbx") | |
res <- py$ggplotly(ggiris) | |
iframe <- paste("<iframe height=\"600\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"", |
<p>Here's an example workflow that should work for you.</p> | |
<p>Note that you can alternatively install the development version of <code>rnoaa</code> from Github by doing</p> | |
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">install.packages</span>(<span class="st">"devtools"</span>) | |
<span class="kw">library</span>(<span class="st">"devtools"</span>) | |
<span class="kw">install_github</span>(<span class="st">"ropensci/rnoaa"</span>)</code></pre> | |
<h3 id="load-rnoaa">Load rnoaa</h3> | |
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">library</span>(<span class="st">"rnoaa"</span>)</code></pre> | |
<h3 id="seach-for-stations-at-zip-28801">Seach for stations at zip 28801</h3> | |
<pre class="sourceCode r"><code class="sourceCode r">stations <-<span class="st"> </span><span class="kw">noaa_stations</span>(<span class="dt">locationid =</span> <span class="st">"ZIP:28801"</span>)</code></pre> | |
<h3 id="these-are-stations-avoilable-at-that-l |
Here's an example workflow for rnoaa
.
Note that you can alternatively install the development version of rnoaa
from Github by doing
install.packages("devtools")
library("devtools")
install_github("ropensci/rnoaa")
Install from CRAN and load
install.packages("solr")
library("solr")
Define URL
Install from CRAN and load
install.packages("solr")
library("solr")
Define URL
Dear Mr. Wheeler,
You're ruining the internet. I'm not dumb - I understand hwhy you would create "fast lanes" - the revolving door has let you in to the FCC - and you want to give handouts to your buddies in the television industry. Makes sense.
But of course you should be doing what's best for the public - not what's best for Comcast and Time Warner Cable. Don't you think they're filthy rich enough already?
You know that by creating these fast lanes smaller companies that can't afford to pay the "toll" won't be able to compete - thus you'll be helping big companies get bigger, and small companies go out of business.
From this question on the rOpenSci blog http://www.ropensci.org/blog/2014/04/22/rwbclimate-sp/#comment-1358740378
Get all species in the genus Acropora using taxize
library("rgbif")
library("taxize")
library("spocc")
Install the development version
install.packages("devtools")
library("devtools")
install_github("ropensci/taxize")
With the OAuth methods in the new RMendeley (dev branch on the GitHub repository), it is now possible to manage one's entire library directly from the R console. After installing (see development version tab) both ROAuth and RMendeley, follow the tutorial below to query Mendeley, manage documents and groups.