Improve the README.md.

resources/README.md

@@ -0,0 +1,34 @@
+# Correlation Plot
+Correlation plots can be used to quickly find insights. It is used to investigate the dependence between multiple variables at the same time and to highlight the most correlated variables in a data table. In this visual, correlation coefficients are colored according to the value. Correlation matrix can be also reordered according to the degree of association between variables or clustered using hierarchical clustering algorithm. The usage of this visual is very simple and intuitive.
+
+<img src="http://nordata-cdn.oss-cn-shanghai.aliyuncs.com/biominer/corrplot-logo-274x274.png" width="80%"/>
+
+Here is how it works:
+
+- Define numerical variables to be examined (two or more columns)
+- Use numerous formatting controls to refine the visual apperance of the plot
+
+## **Arguments**
+- name<sup>*</sup>
+The name of the corrplot chart.
+
+- datafile<sup>*</sup>
+Where is the data?
+
+- corr_vars<sup>*</sup>
+Which columns do you want to analyze?
+
+- method
+Optional, The visualization method of correlation matrix to be used. Allowed values are square (default), circle.
+
+- corr_type
+Optional, full (default), lower or upper display.
+
+- hc_method
+Optional, The agglomeration method to be used in hclust (see ?hclust).
+
+- hc_order
+Logical value. If TRUE, correlation matrix will be hc.ordered using hclust function.
+
+- sig_level
+Significant level, greater than 0 and less than 1.

resources/tservice-plugin.yaml

@@ -7,7 +7,7 @@ info:
   source: PGx
   short_name: corrplot
   icons:
-    - src: "http://nordata-cdn.oss-cn-shanghai.aliyuncs.com/biominer/corrplot-logo-144x144.png"
+    - src: "http://nordata-cdn.oss-cn-shanghai.aliyuncs.com/biominer/corrplot/corrplot-logo-144x144.png"
       type: image/png
       sizes: 192x192
   author: Jingcheng Yang
@@ -16,7 +16,7 @@ info:
   tags:
     - R
     - Chart
-  readme: http://nordata-cdn.oss-cn-shanghai.aliyuncs.com/test.md
+  readme: http://nordata-cdn.oss-cn-shanghai.aliyuncs.com/biominer/corrplot/README.md
 plugin:
   name: corrplot
   display-name: Correlation Plot