Monthly Archives: February 2017

Calculating Aggregation for Internal Numbers From Strings in a Range by David Hager

Continue reading


Using the Excel TEXTJOIN function to Extract an Internal Numeric String From a String by David Hager

Before I had access to Excel 2016 (365), I made a comment on Chris Webb’s web site about a possible use for the new TEXTJOIN function.

Here is the comment:

… the following array formula will return a numeric string from a string (i.e. – 125 from AMDHF125KOI) by using this formula. =TEXTJOIN(“”,TRUE,IFERROR(VALUE(MID(A1,ROW(INDIRECT(“1:”&LEN(A1))),1)),””))

Chris confirmed that it worked!

Afterwards, I forgot about it, until I read the article on XOR LX’s web site about extracting numbers from a string.

In looking at the comparisons, I saw that this TEXTJOIN formula construction simplified the extraction of an internal numeric string from a string as compared to previous solutions.

I am looking at ways to extend this methodology to other string-to array-to string solutions.

Averaging of Scientific Results in Excel

Each scientific measurement process has its own criteria for what is acceptable data. However, there are some general rules. If a data point is suspect, another is generated. If these are within the statistical variation for that process, then they are averaged. However, if a 3rd measurement is needed,

An Excel formula that correctly handles all of these requirements is needed. If 2 of the measurements are within statistical variation, they are averaged. This would be the two closest values.

But if two measurements are equidistant from the 3rd, (13.2,13.5,13.8) then all 3 values

must be averaged.

So, given those requirements, the following formula will return the correct result.




First, if the 3 values are all different, then

=SUM(MATCH($A$1:$C$1,$A$1:$C$1,0))=6 is True.

So, if SUM(MATCH($A$1:$C$1,$A$1:$C$1,0))<6,then the formula uses


In the comments at this site:

a poster in the comments named Ihm came up with this formula.

In the FALSE condition of the formula is the following:


It is based on a 3×3 matrix obtained from


For a data set of

13.4 13.55 13.8

The following matrix is


The ROUND function is necessary since the ABS function sometimes introduces differences (i.e. – 0.25 vs 0.2499999999).

The 5th largest value in the matrix corresponds to the smallest difference. The values for those differences in A1:C1 are averaged to afford the desired result.