#Excel Add In Table Interpolation How To Make A#
#Excel Add In Table Interpolation Software According To#

Excel Add In Table Interpolation Software According To

Interpolation - Wikipedia, the free encyclopedia.polar coordinates in excel The latest version will work on 32-bit or 64-bit. Copy the code below into a code module, and use as your describe. Selection of software according to Interpolation add in for excel.xla topic. Method to calculate interpolation step value in. The following Microsoft Excel formula performs linear interpolation by calculating the interpolation.

KnownYs do not have to be sorted. * '***OUTPUT: The output will be the linear interpolated Y value * '*** corresponding to the NewX value the user selects. * '*** NewX - Cell or number with the X value you want to * '*** interpolate for. * '*** KnownXs - 1D range containing your known X values. * '***INPUT: KnownYs - 1D range containing your known Y values.

Declare Variables and Initialize Variables '- Dim bYRows As Boolean 'Y values are selected in a row (Nx1) Dim bXRows As Boolean 'X values are selected in a row (Nx1) Dim DeltaHi As Double 'delta between NewX and KnownXs if Known > NewX Dim DeltaLo As Double 'delta between NewX and KnownXs if Known 1 Then Linterp = 'Too many cells in variable NewX.' Exit Function End If End If 'Error 2 - NewX is not a number If IsNumeric ( NewX ) = False Then Linterp = 'NewX is non-numeric.' Exit Function End If 'Error 3 - dimensions aren't even If KnownYs. * '***FORMULA: Linterp=Y0 + (Y1-Y0)*(NewX-X0)/(X1-X0) * '***EXAMPLE: =Linterp(A2:A4,B2:B4,C2) * '****************************************************************************** '- '0. It is a * '*** good practice to have the Xs and corresponding Ys beside * '*** each other in Excel before using Linterp. KnownXs and KnownYs must be the same dimensions.

Count 1 Then bYRows = True For i = 1 To KnownYs. Count 1 Then Linterp = 'Known X's should be in a single column or a single row.' Exit Function End If 'Error 6 - Too few known Y cells If KnownYs. Count 1 Then Linterp = 'Known Y's should be in a single column or a single row.' Exit Function End If 'Error 5 - known Xs are not Nx1 or 1xN dimensions If KnownXs.

Count If IsNumeric ( KnownYs. Count > 1 Then bYRows = False For i = 1 To KnownYs. Cells ( i , 1 )) = False Then Linterp = 'One or all Known Y's are non-numeric.' Exit Function End If Next i ElseIf KnownYs.

Count If IsNumeric ( KnownXs. Count > 1 Then bXRows = False For i = 1 To KnownXs. Cells ( i , 1 )) = False Then Linterp = 'One or all Known X's are non-numeric.' Exit Function End If Next i ElseIf KnownXs. Count If IsNumeric ( KnownXs. Count > 1 Then bXRows = True For i = 1 To KnownXs.

Cells ( i , 1 ) - NewX DeltaLo Then 'determine DeltaLo DeltaLo = KnownXs. Cells ( i , 1 ) > NewX And KnownXs. Cells ( i , 1 ) '' Then If KnownXs. Count 'loop through known Xs If KnownXs. Check for nearest values from list of Known X's '- If bXRows = True Then 'check by rows For i = 1 To KnownXs.

Includes minor error handling '- If iHi = 2147483647 Or iLo = - 2147483648 # Then Linterp = 'NewX is out of range. Linear interpolate based on the closest cells in the range. Cells ( 1 , i ) Exit Function End If End If Next i End If '- 'III. Just report corresponding Y Linterp = KnownYs. Cells ( 1 , i ) = NewX Then 'match. Cells ( 1 , i ) - NewX iLo = i ElseIf KnownXs.

Cells ( 1 , iLo ) Y1 = KnownYs. Cells ( iHi , 1 ) Else Y0 = KnownYs. Cells ( iLo , 1 ) X1 = KnownXs. Cells ( iHi , 1 ) X0 = KnownXs. Cells ( iLo , 1 ) Y1 = KnownYs.

Description End FunctionTREND Function Forecast & Extrapolate in Excel. Final Error Handling '- InterpError : Linterp = 'Error Encountered: ' & Err. Cells ( 1 , iHi ) End If Linterp = Y0 + ( Y1 - Y0 ) * ( NewX - X0 ) / ( X1 - X0 ) Exit Function '- 'IV. Cells ( 1 , iLo ) X1 = KnownXs.

Excel Add In Table Interpolation How To Make A

Make powerful spreadsheets with our free VBA Developer's GuideThe tutorial explains the essentials of the Excel table format, shows how to make a table in Excel, sort, filer and resize it, remove table formatting and convert to a range.ItвЂ™s easy to copy and paste a macro like this, but itвЂ™s harder make one on your own. The function extends a linear trend line to. This cheat sheet covers 100s of functions that are critical to know as an Excel analyst that will calculate the linear trend line to the arrays of known y and known x.

Supports unsorted data by automatically picking which range to interpolate between based on the closest KnownX values to the NewX value youвЂ™re interpolating on. ThatвЂ™s true, but there are several more advantages of this function. This can be a single cell or a number you manually enter.Earlier I said one thing that separates this linear interpolation function from other functions is that it doesnвЂ™t require your known values be sorted. This can be a single column or a single row of data.This is the value you want to linearly interpolate on to find your new Y-value. This can be a single column or a single row of data.1-dimensional range containing your known X values. HereвЂ™s a description of what you need to know about each of these arguments: Argument1-dimensional range containing your known Y values.

Instead of throwing generic error messages, built-in error handling in this UDF provides useful detail about how to resolve known limitations. Other functions use regression fits to fit a linear curve between all your points, which is rarely what I want to do. Unlike the native Excel worksheet functions =TREND() and =FORECAST(), this UDF supports direct linear interpolation between two points when more than two known values are provided in the range arrays.

This is common in other engineering and financial industries, as well.Now, letвЂ™s say we want to find out what Y value corresponds to an X value that can be anywhere between 0 and 21. In the nuclear industry, we use piecewise trends like this all the time. LetвЂ™s walk through an example.Say youвЂ™ve got data that looks like this:It doesnвЂ™t matter what the data is - this is just a hypothetical.

Linterp provides one simple formula for all your linear interpolation needs.ThatвЂ™s all for this tutorial. IвЂ™ve seen them in everything from charts of inflation or unemployment as functions of time to compression strength as a function of water-cement ratio.You can use the =Linterp() function to yield ballpark estimates to almost any data without having to hassle with complex Excel formulae and confusing nested statements. The function is perfect for finding values along a defined trend.Just so you donвЂ™t think IвЂ™m lying about the function working with unsorted data, check this out:The Linterp formulae are identical and the results stay the same even though the Known X values are no longer sorted! ItвЂ™s beautiful.I use this function at my nuclear engineering job to trend k-effective eigenvalues for shutdown margin calculations and cycle depletions.Piecewise trends can be used everywhere. The NewX part of the formula can point to a cell, as well.The red squares were calculated using the =Linterp() user defined function. Simply go into Excel and type the following formula:However, the real beauty of the UDF is that you donвЂ™t have to put вЂњ3вЂќ in the formula. Ugh!For starters, letвЂ™s say we want to know what value of Y corresponds to an X value of 3.