Add swe input accidentally left off of swe branch merge

Author: Andy

+nla/+edge/+inputHelpers/SandwichEstimatorInput.m

@@ -0,0 +1,75 @@
+classdef SandwichEstimatorInput < handle
+    % used to pass object by reference to SandwichEstimatorInputGUI and
+    % receive output settings from that GUI
+    %
+    % call 'struct' function on an instance of this class to get an
+    % equivalent struct
+    properties
+        groupId %n x 1 vector
+        permute_method = nla.edge.permutationMethods.FCWildBootstrap();
+        stdErrCalcObj %implements nla.helpers.stdError.AbstractSwEStdErrStrategy()
+        behavior % nx1 vector (combine into covariates/variables)
+        covariates % nxp matrix
+        contrasts % c x (p+1) matrix
+        contrastNames % c x 1 cell of strings of names
+        FORCE_ORDINARY_LEAST_SQUARES = false
+        
+        inputGuiSettingsStruct = []%struct to hold state of input GUI for re-loading input settings
+    end 
+    
+    
+    methods
+        function outStruct = pushFieldsIntoStruct(obj, inStruct)
+            outStruct = inStruct;
+            
+            classProps = properties(obj);
+            
+            for iProp = 1:length(classProps)
+                thisPropName = classProps{iProp};
+                
+                outStruct.(thisPropName) = obj.(thisPropName);
+            end
+            
+        end
+        
+        function loadFieldsFromStruct(obj, inStruct)
+            classProps = properties(obj);
+            
+            for iProp = 1:length(classProps)
+                thisPropName = classProps{iProp};
+                
+                if isfield(inStruct, thisPropName)
+                    obj.(thisPropName) = inStruct.(thisPropName);
+                end
+            end
+        end
+        
+        function isValid = isValid(obj)
+            isValid = true;
+            
+            groupRows = size(obj.groupId,1);
+            [covarRows, covarCols] = size(obj.covariates);
+            [contrastRows, contrastCols] = size(obj.contrasts);
+            
+            if any([covarCols, contrastCols] ~= covarCols)
+                isValid = false;
+            end
+            if obj.stdErrCalcObj.REQUIRES_GROUP && groupRows==0
+                isValid = false;
+            end
+            
+            if contrastCols<=0
+                isValid = false;
+            end
+            
+        end
+        
+        function set.FORCE_ORDINARY_LEAST_SQUARES(obj, forceOLS)
+            if forceOLS
+                obj.stdErrCalcObj = nla.helpers.stdError.Homoskedastic();
+            end
+            obj.FORCE_ORDINARY_LEAST_SQUARES = forceOLS;
+        end
+    end
+    
+end