add LOGNORM.INV formula

cell/.unit-tests/FormulaTests.js

@@ -1068,6 +1068,16 @@ $( function () {
 		strictEqual( oParser.calculate().getValue().toFixed(7) - 0, 0.0176176, "LOGNORM.DIST(A2,A3,A4,FALSE)" );
 	} );
 
+	test( "Test: \"LOGNORM.INV\"", function () {
+		ws.getRange2( "A2" ).setValue( "0.039084" );
+		ws.getRange2( "A3" ).setValue( "3.5" );
+		ws.getRange2( "A4" ).setValue( "1.2" );
+
+		oParser = new parserFormula( "LOGNORM.INV(A2, A3, A4)", "A1", ws );
+		ok( oParser.parse(), "LOGNORM.INV(A2, A3, A4)" );
+		strictEqual( oParser.calculate().getValue().toFixed(7) - 0, 4.0000252, "LOGNORM.INV(A2, A3, A4)" );
+	} );
+
 	test( "Test: \"GAMMA.DIST\"", function () {
 		ws.getRange2( "A2" ).setValue( "10.00001131" );
 		ws.getRange2( "A3" ).setValue( "9" );

cell/model/FormulaObjects/statisticalFunctions.js

@@ -64,7 +64,7 @@
 		cBETA_INV, cBINOMDIST, cCHIDIST, cCHIINV, cCHISQ_DIST, cCHISQ_DIST_RT, cCHISQ_INV, cCHISQ_INV_RT, cCHITEST, cCONFIDENCE, cCORREL, cCOUNT, cCOUNTA, cCOUNTBLANK, cCOUNTIF,
 		cCOUNTIFS, cCOVAR, cCRITBINOM, cDEVSQ, cEXPONDIST, cFDIST, cF_DIST, cF_DIST_RT, cF_INV, cF_INV_RT, cFINV, cFISHER, cFISHERINV, cFORECAST, cFREQUENCY,
 		cFTEST, cGAMMA, cGAMMADIST, cGAMMAINV, cGAMMA_DIST, cGAMMA_INV, cGAMMALN, cGAMMALN_PRECISE, cGEOMEAN, cGROWTH, cHARMEAN, cHYPGEOMDIST, cINTERCEPT, cKURT, cLARGE,
-		cLINEST, cLOGEST, cLOGINV, cLOGNORM_DIST, cLOGNORMDIST, cMAX, cMAXA, cMEDIAN, cMIN, cMINA, cMODE, cNEGBINOMDIST, cNORMDIST,
+		cLINEST, cLOGEST, cLOGINV, cLOGNORM_DIST, cLOGNORM_INV, cLOGNORMDIST, cMAX, cMAXA, cMEDIAN, cMIN, cMINA, cMODE, cNEGBINOMDIST, cNORMDIST,
 		cNORMINV, cNORMSDIST, cNORMSINV, cPEARSON, cPERCENTILE, cPERCENTRANK, cPERMUT, cPOISSON, cPROB, cQUARTILE,
 		cRANK, cRSQ, cSKEW, cSLOPE, cSMALL, cSTANDARDIZE, cSTDEV, cSTDEVA, cSTDEVP, cSTDEVPA, cSTEYX, cTDIST, cT_DIST,
 		cT_DIST_2T, cT_DIST_RT, cT_INV, cT_INV_2T, cTINV, cTREND, cTRIMMEAN, cTTEST, cVAR, cVARA, cVARP, cVARPA, cWEIBULL, cZTEST);
@@ -4264,6 +4264,54 @@
 		return {name: this.name, args: "( x , mean , standard-deviation, cumulative )"}
 	};
 
+	/**
+	 * @constructor
+	 * @extends {AscCommonExcel.cBaseFunction}
+	 */
+	function cLOGNORM_INV() {
+		this.name = "LOGNORM.INV";
+		this.value = null;
+		this.argumentsCurrent = 0;
+	}
+
+	cLOGNORM_INV.prototype = Object.create(cBaseFunction.prototype);
+	cLOGNORM_INV.prototype.constructor = cLOGNORM_INV;
+	cLOGNORM_INV.prototype.argumentsMin = 3;
+	cLOGNORM_INV.prototype.argumentsMax = 3;
+	cLOGNORM_INV.prototype.Calculate = function (arg) {
+		var oArguments = this._prepareArguments(arg, arguments[1], true);
+		var argClone = oArguments.args;
+
+		argClone[0] = argClone[0].tocNumber();
+		argClone[1] = argClone[1].tocNumber();
+		argClone[2] = argClone[2].tocNumber();
+
+		var argError;
+		if (argError = this._checkErrorArg(argClone)) {
+			return this.value = argError;
+		}
+
+		var normdist = function(argArray){
+			var fP = argArray[0];
+			var fMue = argArray[1];
+			var fSigma = argArray[2];
+
+			var res = null;
+			if ( fSigma <= 0.0 || fP <= 0.0 || fP >= 1.0 ){
+				return new cError(cErrorType.not_numeric);
+			}else{
+				res = Math.exp( fMue + fSigma * gaussinv( fP ));
+			}
+
+			return null !== res && !isNaN(res) ? new cNumber(res) : new cError(cErrorType.wrong_value_type);
+		};
+
+		return this.value = this._findArrayInNumberArguments(oArguments, normdist);
+	};
+	cLOGNORM_INV.prototype.getInfo = function () {
+		return {name: this.name, args: "( probability , mean, standard_dev )"}
+	};
+
 	/**
 	 * @constructor
 	 * @extends {AscCommonExcel.cBaseFunction}