653426d7-c716-428d-8be8-7fce5bb2c356 82 4 5 decimal
&[DATE] &[TIME] - &[FILENAME]
&[PAGENUM] / &[COUNT]
 <p> data, want </p>

truth table rectagular Array1 on descending deployed Array2 matched occurences collected wrt their [row/col] in Array1.

Array1 Array2 Locate Unwrap an array in vector V Array2 1 col : i 2 Array2 cols range V V Array2 i col stack : for V locate matching occurences i 1 : match 0 : k 1 V rows range row 1 Array1 rows range col 1 Array1 cols range Array1 row col el V k el ≡ ( 1 ≡ match i 1 el row col 2 1 mat : i i 1 + : 2 1 line NO math occurences if for for for match 9 1 line : 25 17 7 2 1 mat 12 8 2 1 mat 12 7 2 1 mat 6 2 2 1 mat 9 6 2 1 mat 7 1 2 1 mat 22 1 2 1 mat 16 7 2 1 mat 8 1 mat
This document . . . from secret source
0. Source Mathcad 11, project done for Art.
1. want is complete
2. data is reduced in length.
Offered in Smath as a utilities tool .
Collab Art was involved in Medical Lab.
]]>

1. scan => coincidences data <=> want 2. zap => located in rows 'data'

j 1 Index rows range scan j el data Index j el 1 el Index j el 2 el el : zap j el Index j el 1 el : 2 1 line for

Recover 'want' found in 'data'

zap scan augment 17 0.4679 12 0.4381 12 0.4542 6 0.4443 9 0.4132 7 0.4918 22 0.3934 16 0.4222 8 2 mat

zap 17 12 12 6 9 7 22 16 8 1 mat

sanity individual matched

jj 8 : 0.4222

======================================================================================

Strip repeated in 'zap' vector

zap Strip zap zap sort : k 0 : i 1 zap rows 1 - ( range zap i 1 + el zap i el - 0 ≠ R k k 1 + : el zap i el : 1 1 line if 1 1 line for R zap zap rows el stack 4 1 line :

Next objective is to delete rows marked '1' in data. We sort the "zap" vector, then strip from repeated rows indices.

indices of rows to be deleted in data

delrow 6 7 9 12 16 17 22 7 1 mat

'include' rows of data not marked '1'

include s 1 data rows range : y delrow : x y in x y ≡ vectorize max : 3 1 sys j 1 : t s w j el t : j j 1 + : 2 1 line t y in 0 ≡ Exclude cases for w 4 1 line :

on descending 's' rows(data),logical test excludes indices that are common between 's' and 'delrow'

t y in logic test common [1/0] ≡

1. vec'r included data 2. data xcluded 'want' 3. length 'filtered'

vr include : Medic data vr 1 8 range el : k 1 Medic rows range : 3 1 sys 1 2 3 4 5 8 10 11 13 14 15 18 19 20 21 23 24 25 18 1 mat 0.4195 0.4099 0.4078 0.4001 0.4247 0.4163 0.4134 0.4074 0.5001 0.4884 0.4893 0.4777 0.5008 0.491 0.491 0.4818 0.4945 0.4802 0.4789 0.4659 0.4862 0.4723 0.4719 0.4585 0.4837 0.4692 0.4756 0.4615 0.4862 0.4729 0.4786 0.4662 0.4874 0.4786 0.4788 0.4699 0.4853 0.4765 0.477 0.4682 0.4543 0.4443 0.4393 0.4309 0.4573 0.4486 0.442 0.4357 0.4918 0.4798 0.4884 0.4769 0.4915 0.48 0.4878 0.4768 0.4724 0.4167 0.416 0.405 0.4269 0.4171 0.4143 0.4047 0.4302 0.4125 0.4167 0.4 0.4319 0.4132 0.419 0.4015 0.4975 0.4861 0.5002 0.4875 0.4952 0.4851 0.4974 0.4864 0.4668 0.4525 0.443 0.4299 0.463 0.4495 0.4387 0.4264 0.4713 0.4563 0.4606 0.4462 0.462 0.4464 0.4542 0.4381 0.4545 0.4433 0.4437 0.4332 0.4565 0.4467 0.4482 0.4392 0.5027 0.4848 0.5039 0.4855 0.5014 0.4839 0.5014 0.4834 0.5015 0.4863 0.487 0.4728 0.4996 0.4834 0.4859 0.4719 0.466 0.4569 0.433 0.4246 0.4548 0.4464 0.4222 0.4126 0.4719 0.4592 0.47 0.4598 0.471 0.4588 0.4679 0.4584 0.4056 0.3927 0.3919 0.3833 0.4063 0.3914 0.3922 0.382 0.471 0.4584 0.4472 0.4361 0.4731 0.4611 0.4505 0.4406 0.528 0.5138 0.5137 0.5008 0.5261 0.5121 0.5108 0.4983 0.504 0.4946 0.5162 0.5072 0.5008 0.4929 0.5127 0.5056 0.3934 0.3872 0.3707 0.3654 0.391 0.3817 0.3695 0.3611 0.4209 0.4076 0.4062 0.3945 0.4226 0.4104 0.4069 0.3965 23 8 mat iVBORw0KGgoAAAANSUhEUgAAACMAAAAYCAYAAABwZEQ3AAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAACpSURBVEhLzdRNCoMwEEBhKZ5EPFnxWNKTSU8iTdvFgyojJvPjdPE2mQQ+EkjXv9ZS3a2X151qx3ya7pM8N6bC/KKW5yLvVWTCkBfKBUNWlCuGtKgQDLWiQjFUi+qkw1GdoS7F0BEqBUN7VCqGQP0FZhzGMj/mXAyI1GfaI1IwRwi65NM7Q1AophZBIZhWBLlitAhywVgRZMJ4IUiF+SLEubEmjPdNbFvLG1DzBUqJJvVOAAAAAElFTkSuQmCC

Explore graph

col 4 :

'Medic', is data stripped of the rows 'mark 1'... as determined by Locate(Array1,Array2).

 Medicdata_1 col Medicdata 2 1 sys 179.6 179.2 2 1 mat

sanity individual 'mark'

jj 8 : 0.4222

identify/visualize/locate in data where 'want & data' do coincide ... [kind of truth table]

data Index markWant <p> data mark " " ... Medic </p>

rows marked "" are zapped for the resulting Medic

data 0.4195 0.4099 0.4078 0.4001 0.4247 0.4163 0.4134 0.4074 0.5001 0.4884 0.4893 0.4777 0.5008 0.491 0.491 0.4818 0.4945 0.4802 0.4789 0.4659 0.4862 0.4723 0.4719 0.4585 0.4837 0.4692 0.4756 0.4615 0.4862 0.4729 0.4786 0.4662 0.4874 0.4786 0.4788 0.4699 0.4853 0.4765 0.477 0.4682 0.4543 0.4393 0.4309 0.4573 0.4486 0.442 0.4357 0.4798 0.4884 0.4769 0.4915 0.48 0.4878 0.4768 0.4724 0.4167 0.416 0.405 0.4269 0.4171 0.4143 0.4047 0.4302 0.4125 0.4167 0.4 0.4319 0.419 0.4015 0.4975 0.4861 0.5002 0.4875 0.4952 0.4851 0.4974 0.4864 0.4668 0.4525 0.443 0.4299 0.463 0.4495 0.4387 0.4264 0.4713 0.4563 0.4606 0.4462 0.462 0.4464 0.4545 0.4433 0.4437 0.4332 0.4565 0.4467 0.4482 0.4392 0.5027 0.4848 0.5039 0.4855 0.5014 0.4839 0.5014 0.4834 0.5015 0.4863 0.487 0.4728 0.4996 0.4834 0.4859 0.4719 0.466 0.4569 0.433 0.4246 0.4548 0.4464 0.4126 0.4719 0.4592 0.47 0.4598 0.471 0.4588 0.4584 0.4056 0.3927 0.3919 0.3833 0.4063 0.3914 0.3922 0.382 0.471 0.4584 0.4472 0.4361 0.4731 0.4611 0.4505 0.4406 0.528 0.5138 0.5137 0.5008 0.5261 0.5121 0.5108 0.4983 0.504 0.4946 0.5162 0.5072 0.5008 0.4929 0.5127 0.5056 0.3872 0.3707 0.3654 0.391 0.3817 0.3695 0.3611 0.4209 0.4076 0.4062 0.3945 0.4226 0.4104 0.4069 0.3965 0.4824 0.4718 0.4783 0.4683 0.4794 0.4681 0.4757 0.4663 0.497 0.4869 0.4954 0.4855 0.5015 0.4905 0.5004 0.4901 25 8 mat 0.4195 0.4099 0.4078 0.4001 0.4247 0.4163 0.4134 0.4074 0.5001 0.4884 0.4893 0.4777 0.5008 0.491 0.491 0.4818 0.4945 0.4802 0.4789 0.4659 0.4862 0.4723 0.4719 0.4585 0.4837 0.4692 0.4756 0.4615 0.4862 0.4729 0.4786 0.4662 0.4874 0.4786 0.4788 0.4699 0.4853 0.4765 0.477 0.4682 0.4724 0.4167 0.416 0.405 0.4269 0.4171 0.4143 0.4047 0.4975 0.4861 0.5002 0.4875 0.4952 0.4851 0.4974 0.4864 0.4668 0.4525 0.443 0.4299 0.463 0.4495 0.4387 0.4264 0.4545 0.4433 0.4437 0.4332 0.4565 0.4467 0.4482 0.4392 0.5027 0.4848 0.5039 0.4855 0.5014 0.4839 0.5014 0.4834 0.5015 0.4863 0.487 0.4728 0.4996 0.4834 0.4859 0.4719 0.4056 0.3927 0.3919 0.3833 0.4063 0.3914 0.3922 0.382 0.471 0.4584 0.4472 0.4361 0.4731 0.4611 0.4505 0.4406 0.528 0.5138 0.5137 0.5008 0.5261 0.5121 0.5108 0.4983 0.504 0.4946 0.5162 0.5072 0.5008 0.4929 0.5127 0.5056 0.4209 0.4076 0.4062 0.3945 0.4226 0.4104 0.4069 0.3965 0.4824 0.4718 0.4783 0.4683 0.4794 0.4681 0.4757 0.4663 0.497 0.4869 0.4954 0.4855 0.5015 0.4905 0.5004 0.4901 18 8 mat 1 0.4195 2 0.5001 3 0.4945 4 0.4837 5 0.4874 6 0.4724 7 0.4975 8 0.4668 9 0.4545 10 0.5027 11 0.5015 12 0.4056 13 0.471 14 0.528 15 0.504 16 0.4209 17 0.4824 18 0.497 18 2 mat plot plot 2 1 sys