New object with methods to manipulate data

dream/KnowledgeExtraction/DataManipulation.py

+# ===========================================================================
+# Copyright 2013 University of Limerick
+#
+# This file is part of DREAM.
+#
+# DREAM is free software: you can redistribute it and/or modify
+# it under the terms of the GNU Lesser General Public License as published by
+# the Free Software Foundation, either version 3 of the License, or
+# (at your option) any later version.
+#
+# DREAM is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+# GNU Lesser General Public License for more details.
+#
+# You should have received a copy of the GNU Lesser General Public License
+# along with DREAM.  If not, see <http://www.gnu.org/licenses/>.
+# ===========================================================================
+
+'''
+Created on 16 Apr 2014
+
+@author: Panos
+'''
+
+import rpy2.robjects as robjects
+
+#The DataManipulation object
+class DataManagement:
+    
+    def round(self, data):                      #returns the rounded values of the data sample
+        data=robjects.FloatVector(data)          ##The given list changes into float vector in order to be handled by RPy2
+        rround = robjects.r['round']            #Call the round  function-R function
+        return list(rround(data))
+        
+    def ceiling(self, data):                      #returns the smallest integers bigger than the values of the data sample
+        data=robjects.FloatVector(data)          
+        ceiling = robjects.r['ceiling']           #Call the ceiling function-R function
+        return list(ceiling(data))
+    
+    def floor(self, data):                      #returns the largest integers smaller than the values of the data sample
+        data=robjects.FloatVector(data)          
+        floor = robjects.r['floor']             #Call the floor function-R function
+        return list(floor(data))
+    
+    def abs(self,data):                         #returns a list with the absolute values of the data sample
+        data=robjects.FloatVector(data)          
+        rabs = robjects.r['abs']                 #Call the abs function-R function
+        return list(rabs(data))
+    
+    def sqrt(self,data):                        #returns the square root of the values in the data sample
+        data=robjects.FloatVector(data)          
+        rsqrt = robjects.r['sqrt']              #Call the sqrt function-R function
+        return list(rsqrt(data))
+        
+    
+    
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