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• 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

  1723 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

  1030 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

  1256 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

  1352 views | 1 replies

• neural network and control chart

  hello
  Is a neural network affected by outliers?
  I want to design a Phase I control chart based on a neural network, but after each removal of outliers and re-modeling of the neural network, the accuracy of the model decreases.
  What solution do you suggest? 

  maryam_nourmand

  Discussions |

  May 24, 2024 10:00 AM

  1934 views | 5 replies