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Valid values are defined via two thresholds: minValue and maxValue.\r\nExample:\r\n\r\n  x = [-1 -5.4 14.6 20.9 25.5 -22.4 18 15.5 -33.7 -38.1];\r\n  minValue = -10;\r\n  maxValue = 10;\r\n  y = validAverage(x, minValue, maxValue) = -3.2\r\n\r\nTo keep it simple, let's assume minValue and maxValue are within the array range.","description_html":"\u003cp\u003eGiven a 1D array (column or row vector), compute the average of valid values. Valid values are defined via two thresholds: minValue and maxValue.\r\nExample:\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003ex = [-1 -5.4 14.6 20.9 25.5 -22.4 18 15.5 -33.7 -38.1];\r\nminValue = -10;\r\nmaxValue = 10;\r\ny = validAverage(x, minValue, maxValue) = -3.2\r\n\u003c/pre\u003e\u003cp\u003eTo keep it simple, let's assume minValue and maxValue are within the array range.\u003c/p\u003e","function_template":"function y = validAverage(x, minV, maxV)\r\n  y = x;\r\nend","test_suite":"%%\r\nx = 1;\r\nminV = -10;\r\nmaxV = 10;\r\ny_correct = 1;\r\nassert(isequal(round(validAverage(x,minV, maxV),4),y_correct))\r\n\r\n%%\r\nx = [-1 -5.4 14.6 20.9 25.5 -22.4 18 15.5 -33.7 -38.1];\r\nminV = -10;\r\nmaxV = 10;\r\ny_correct = -3.2;\r\nassert(isequal(round(validAverage(x,minV, maxV),4),y_correct))\r\n\r\n%%\r\nx=1:100;\r\nminV=20;\r\nmaxV=80;\r\ny_correct = 50;\r\nassert(isequal(round(validAverage(x,minV, maxV),4),y_correct))","published":true,"deleted":false,"likes_count":2,"comments_count":1,"created_by":44306,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":61,"test_suite_updated_at":"2015-06-01T21:37:45.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2015-06-01T21:16:24.000Z","updated_at":"2026-02-17T15:29:50.000Z","published_at":"2015-06-01T21:25:20.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven a 1D array (column or row vector), compute the average of valid values. Valid values are defined via two thresholds: minValue and maxValue. Example:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[x = [-1 -5.4 14.6 20.9 25.5 -22.4 18 15.5 -33.7 -38.1];\\nminValue = -10;\\nmaxValue = 10;\\ny = validAverage(x, minValue, maxValue) = -3.2]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eTo keep it simple, let's assume minValue and maxValue are within the array range.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"}],"problem_search":{"problems":[{"id":42351,"title":"Average valid values of arrays","description":"Given a 1D array (column or row vector), compute the average of valid values. Valid values are defined via two thresholds: minValue and maxValue.\r\nExample:\r\n\r\n  x = [-1 -5.4 14.6 20.9 25.5 -22.4 18 15.5 -33.7 -38.1];\r\n  minValue = -10;\r\n  maxValue = 10;\r\n  y = validAverage(x, minValue, maxValue) = -3.2\r\n\r\nTo keep it simple, let's assume minValue and maxValue are within the array range.","description_html":"\u003cp\u003eGiven a 1D array (column or row vector), compute the average of valid values. Valid values are defined via two thresholds: minValue and maxValue.\r\nExample:\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003ex = [-1 -5.4 14.6 20.9 25.5 -22.4 18 15.5 -33.7 -38.1];\r\nminValue = -10;\r\nmaxValue = 10;\r\ny = validAverage(x, minValue, maxValue) = -3.2\r\n\u003c/pre\u003e\u003cp\u003eTo keep it simple, let's assume minValue and maxValue are within the array range.\u003c/p\u003e","function_template":"function y = validAverage(x, minV, maxV)\r\n  y = x;\r\nend","test_suite":"%%\r\nx = 1;\r\nminV = -10;\r\nmaxV = 10;\r\ny_correct = 1;\r\nassert(isequal(round(validAverage(x,minV, maxV),4),y_correct))\r\n\r\n%%\r\nx = [-1 -5.4 14.6 20.9 25.5 -22.4 18 15.5 -33.7 -38.1];\r\nminV = -10;\r\nmaxV = 10;\r\ny_correct = -3.2;\r\nassert(isequal(round(validAverage(x,minV, maxV),4),y_correct))\r\n\r\n%%\r\nx=1:100;\r\nminV=20;\r\nmaxV=80;\r\ny_correct = 50;\r\nassert(isequal(round(validAverage(x,minV, maxV),4),y_correct))","published":true,"deleted":false,"likes_count":2,"comments_count":1,"created_by":44306,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":61,"test_suite_updated_at":"2015-06-01T21:37:45.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2015-06-01T21:16:24.000Z","updated_at":"2026-02-17T15:29:50.000Z","published_at":"2015-06-01T21:25:20.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven a 1D array (column or row vector), compute the average of valid values. Valid values are defined via two thresholds: minValue and maxValue. 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