diff --git a/README.md b/README.md
index 0e6de16..171a172 100644
--- a/README.md
+++ b/README.md
@@ -2,7 +2,7 @@
    a.) Install package "bnlearn" in R, (because I used "bnlearn" package in my code.):
        install.packages(​"http://www.bnlearn.com/releases/​bnlearn_latest.tar.gz")
    b.) Download file CondIndependentTest.R and put it in a folder (For example, put it in folder "/home/zgong001/Documents/SprinklerDataset/CondIndependentTest.R"). 
-2. Execute the code.
+2. Execute the CondIndependentTest.R code.
    a.)In Console of R, you type in:
       source("/home/zgong001/Documents/SprinklerDataset/Rcode/CondIndependentTest.R")
       The content in "" is the location where you put file CondIndependentTest.R.
@@ -13,4 +13,15 @@
       methoudu: is the method you'll choose to do conditional independence test. You could choose "x2" or "mi". "x2" means Chi-Square Test of Independence and "mi" means mutual information test.
       exfilename: is the full path and excel file name which you want to output your test result.
       
+      
+3. Execute the entropySorted.R code.
+   a.)In Console of R, you type in:
+      source("/home/zgong001/Documents/SprinklerDataset/Rcode/entropySorted.R")
+      The content in "" is the location where you put file entropySorted.R.
+      If there are some errors, you should double check the path is correct.
+   b.)In Console of R, you type in something like the following:
+      EntropySorted(filename = "/home/zgong001/Documents/SprinklerDataset/sprinkler1001.txt", exfilename = "/home/zgong001/Documents/SprinklerDataset/pvalueSorted(sprinkler).xlsx")
+      filename: is the full path and file name of your data file.
+      exfilename: is the full path and excel file name which you want to output your test result.
+      
 Note: The the data in data file could not be integer, for example 0, 1. It should be string, like s0, s1, or good, bad or state0 or state1.
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