Fixed example in README

DESCRIPTION

@@ -1,34 +1,34 @@
-Package: ggdendro
-Maintainer: Andrie de Vries
-    <andrie.de.vries@pentalibra.com>
-License: GPL (>=2)
-Title: Tools for extracting dendrogram and tree diagram
-    plot data for use with ggplot.
-LazyData: true
-LazyLoad: true
-Author: Andrie de Vries <andrie.de.vries@pentalibra.com>
-Description: This is a set of tools for dendrograms and
-    tree plots using ggplot.  The ggplot philosophy is to
-    clearly separate data from the presentation.
-    Unfortunately the plot method for dendrograms plots
-    directly to a plot device without exposing the data.
-    The ggdendro package resolves this by making available
-    functions that extract the dendrogram plot data.
-Version: 0.1-04
-URL: https://github.com/andrie/ggdendro
-Date: 2012-01-27
-Depends:
-    stats,
-    ggplot2
-Suggests:
-    tree,
-    plyr,
-    rpart,
-    MASS
-Collate:
-    'dendro_data.R'
-    'dendrogram.R'
-    'ggdendro-package.R'
-    'tree.r'
-    'rpart.R'
-    'ggdendrogram.R'
+Package: ggdendro
+Maintainer: Andrie de Vries
+    <andrie@pentalibra.com>
+License: GPL (>=2)
+Title: Tools for extracting dendrogram and tree diagram
+    plot data for use with ggplot.
+LazyData: true
+LazyLoad: true
+Author: Andrie de Vries <andrie.de.vries@pentalibra.com>
+Description: This is a set of tools for dendrograms and
+    tree plots using ggplot.  The ggplot philosophy is to
+    clearly separate data from the presentation.
+    Unfortunately the plot method for dendrograms plots
+    directly to a plot device without exposing the data.
+    The ggdendro package resolves this by making available
+    functions that extract the dendrogram plot data.
+Version: 0.1-06
+URL: https://github.com/andrie/ggdendro
+Date: 2012-04-26
+Depends:
+    stats,
+    ggplot2
+Suggests:
+    tree,
+    plyr,
+    rpart,
+    MASS
+Collate:
+    'dendro_data.R'
+    'dendrogram.R'
+    'ggdendro-package.R'
+    'tree.r'
+    'rpart.R'
+    'ggdendrogram.R'

README.md

@@ -32,7 +32,7 @@ The results of these functions can then be passed to `ggplot()` for plotting.
 	hcdata <- dendro_data(hc, type="rectangle")
 	ggplot() + 
 	    geom_segment(data=segment(hcdata), aes(x=x, y=y, xend=xend, yend=yend)) +
-	    geom_text(data=label(hcdata), aes(x=x, y=y, label=text, hjust=0), size=3) +
+	    geom_text(data=label(hcdata), aes(x=x, y=y, label=label, hjust=0), size=3) +
 	    coord_flip() + scale_y_reverse(expand=c(0.2, 0))
 	    
 	### demonstrate plotting directly from object class hclust