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Made date the first column

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1 parent 82f5e91 commit 5fba29c0623ef28241f188f4aef9d29f989cec04 @emhart committed Oct 4, 2012
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@@ -95,8 +95,8 @@ my_dates <- format_py_date(dat[2:length(dat)])
}
output <- data.frame(output)
-output <- cbind(output,my_dates)
-colnames(output) <- c(gsub(" ","",keywords),"Date")
+output <- cbind(my_dates,output)
+colnames(output) <- c("Date",gsub(" ","",keywords))
if(date[1]=="all" && date[2]=="all"){
return(output)
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+
+
+
+
+</head>
+
+<body>
+<h1>rGtrends tutorial</h1>
+
+<p>rGtrends is an R wrapper for making calls to <a href="http://www.google.com/trends">Google Trends</a> it automatically calls a python api which downloads a temporary CSV. As of 9/27/2012 google changed it&#39;s interface for trends and the python component needs to be retooled for finer parsing. As it stands now only raw data is downloaded with the ability to sort by date. But once the python api is fixed individual sections can be downloaded. </p>
+
+<h2>Step 1: Installation</h2>
+
+<p>Installation can be done one of two ways. </p>
+
+<h3>Method 1</h3>
+
+<p>The first is via <a href="http://github.com/hadley/devtools">devtools</a>:</p>
+
+<ol>
+<li>Download devtools</li>
+<li>run the following snippet:</li>
+</ol>
+
+<pre><code class="r">require(devtools)
+install_github(&quot;rGtrends&quot;, &quot;emhart&quot;)
+library(rGtrends)
+</code></pre>
+
+<h3>Methods 2:</h3>
+
+<ol>
+<li>Download the zipped source from <a href="https://github.com/emhart/rGtrends/zipball/master">github</a></li>
+<li>Install the zip file with your preferred method, from within the R GUI, or the command line</li>
+</ol>
+
+<p><code>R CMD INSTALL (unzipped director)</code></p>
+
+</body>
+
+</html>
+
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@@ -0,0 +1,28 @@
+rGtrends tutorial
+========================================================
+
+rGtrends is an R wrapper for making calls to [Google Trends](http://www.google.com/trends) it automatically calls a python api which downloads a temporary CSV. As of 9/27/2012 google changed it's interface for trends and the python component needs to be retooled for finer parsing. As it stands now only raw data is downloaded with the ability to sort by date. But once the python api is fixed individual sections can be downloaded.
+
+Step 1: Installation
+----
+Installation can be done one of two ways.
+### Method 1
+
+The first is via [devtools](http://github.com/hadley/devtools):
+
+1. Download devtools
+2. run the following snippet:
+
+```r
+require(devtools)
+install_github("rGtrends", "emhart")
+library(rGtrends)
+```
+
+
+### Methods 2:
+
+1. Download the zipped source from [github](https://github.com/emhart/rGtrends/zipball/master)
+2. Install the zip file with your preferred method, from within the R GUI, or the command line
+
+`R CMD INSTALL (unzipped director)`
View
@@ -3,17 +3,30 @@ rGtrends tutorial
rGtrends is an R wrapper for making calls to [Google Trends](http://www.google.com/trends) it automatically calls a python api which downloads a temporary CSV. As of 9/27/2012 google changed it's interface for trends and the python component needs to be retooled for finer parsing. As it stands now only raw data is downloaded with the ability to sort by date. But once the python api is fixed individual sections can be downloaded.
-Step 1.
+Step 1: Installation
----
+Installation can be done one of two ways.
+### Method 1
-ensure
-```{r}
-summary(cars)
+The first is via [devtools](http://github.com/hadley/devtools):
+
+1. Download devtools
+2. run the following snippet:
+```{r eval=FALSE}
+require(devtools)
+install_github("rGtrends","emhart")
+library(rGtrends)
```
-You can also embed plots, for example:
+### Methods 2:
-```{r fig.width=7, fig.height=6}
-plot(cars)
-```
+1. Download the zipped source from [github](https://github.com/emhart/rGtrends/zipball/master)
+2. Install the zip file with your preferred method, from within the R GUI, or the command line "`R CMD INSTALL (unzipped directory)`"
+Once you have successfully installed rGtrends using it is easy. The function takes two inputs, a vector of search terms and a date cut off. Here's a basic example:
+```{r}
+library(rGtrends)
+my_terms <- c("Twitter","Myspace")
+twit_ms <- rGtrends(my_terms)
+plot()
+```

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