Update Readme

README.md

@@ -64,8 +64,11 @@ already be loaded.
 
 Select a learning algorithm from the *Structural Learning* box. The
 classes of available structural learning algorithms include:  
-\* Constraint-based algorithms \* Score-based algorithms \*
-Hybrid-structure algorithms \* Local discovery algorithms
+
+* Constraint-based algorithms 
+* Score-based algorithms
+* Hybrid-structure algorithms 
+* Local discovery algorithms
 
 To view the network score, select a score function from the The Network
 Score box.
@@ -116,9 +119,17 @@ not supported for continuous variables.
 
 Click Measures in the sidepanel to bring up a number of tools for
 classic network analysis. The Measures tab has a number of node and
-network measures. The node measures include: \* Markov blanket \*
-Neighborhood \* Parents \* Children \* In degree \* Out degree \*
-Incident arcs \* Incoming arcs \* Outgoing arcs
+network measures. The node measures include: 
+
+* Markov blanket
+* Neighborhood 
+* Parents 
+* Children 
+* In degree 
+* Out degree 
+* Incident arcs 
+* Incoming arcs 
+* Outgoing arcs
 
 Select a node measure in the Controls box and the result will be
 displayed in the Node Measure box.

ReadMe.Rmd

@@ -52,6 +52,7 @@ Click Structure in the sidepanel to begin learning the network from the data. Th
 In order to learn the structure of a network for a given data set, upload the data set in csv format using The Data Input box. Data should be numeric or factored and should not contain any NULL/NaN/NA values. Again, this example uses the "Sample Discrete Network", which should already be loaded. 
 
 Select a learning algorithm from the *Structural Learning* box. The classes of available structural learning algorithms include:    
+
 * Constraint-based algorithms
 * Score-based algorithms
 * Hybrid-structure algorithms
@@ -79,6 +80,7 @@ Click Inference in the sidebar to add evidence to the network. Select evidence t
 
 ## Measures
 Click Measures in the sidepanel to bring up a number of tools for classic network analysis. The Measures tab has a number of node and network measures. The node measures include:
+
 * Markov blanket
 * Neighborhood
 * Parents