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• Group values from selected rows

  Hi, I am trying to group values from the selected rows 
  Here is the dt: The final output should look something like this. So combine the Product values with similar percent. Any suggestion?   dt = Current Data Table(); dt << select duplicate rows( Match( :Label, :Percent ) ); Try( dt<< delete rows );  

  Jackie_

  Discussions |

  May 26, 2024 11:24 PM

  1075 views | 4 replies

• Assign values containing in the list

  Hi, this problem really puzzles me. I want to assign values from table 1 (dt_group) to table 2 (dt_subset). So iterate through each row of Table 2 and then compare the rows of the table 2 Product column with each row of table 1 ProductGroups and then assign the Limits values to the _LIMITS column in table 1 if matching sting is found. How would I script this?table 1:table 2: I already tried and ha...

  Jackie_

  Discussions |

  May 26, 2024 2:47 PM

  1114 views | 5 replies

• Confusion with For Each resolving the value variable

  In solving Iteratively create columns containing formulae I ran across a need to structure the solution in a way that I do not understand why.  My initial solution was Names Default To Here( 1 ); dt = // Open Data Table: semiconductor capability.jmp // → Data Table( "semiconductor capability" ) Open( "$SAMPLE_DATA/semiconductor capability.jmp" ); colNames = dt << get column names( continuous, st...

  txnelson

  Discussions |

  May 26, 2024 8:43 AM

  663 views | 1 replies

• Functional Data Explorer with validation column

  I have a data set with 40 NIR spectra with rows as functions. The data set is split up in a training and validation set using a cutpoint valdiation column; 10 last rows are validation.Running FPCA analyis only the training set is fitted as shown below? How do we know if fitting of the valdation set is OK using the training model? No fitting for validation set ?I assume also the diagnostic plot onl...

  frankderuyck

  Discussions |

  May 25, 2024 3:03 AM

  861 views | 2 replies

• SVEM: ¿Neural network or Lasso?

  I am conducting a prediction model study with DoE mixtures (3 components) and a process factor and a response variable (quantitative). I am going to apply SVEM, but I have a question, what does it depend on when using Neural Networks or Lasso? Thank you for your answers.

  CrhistianDoE

  Discussions |

  May 25, 2024 2:27 AM

  898 views | 1 replies