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• Summary Table For Earliest Test

  I'm creating a summary table for some data whereby a group of wafers were tested more than once.  The data is messy regarding which test iteration a particular parameter was measured.  I want the ultimate table to record only the earliest instance of the test for each wafer/die.  I have a retest iteration column in the table I can use as a subgroup on the table but I don't know how to use that to ...

  SpannerHead

  Discussions |

  Apr 14, 2025 4:08 PM

  1073 views | 4 replies

• Yield Table

  I am trying to get a Yield table using a table having embedded spec limits.   For some reason the count of rows part isn't giving anything but zero.  Any clue what I'm doing wrong Clear Globals(); dt = Current Data Table(); dtYield = New Table( "Yield Table", New Column( "Column Name", Character, "Nominal" ), New Column( "Pass Count", Numeric, "Continuous" ), New Column( "Fail Count"...

  SpannerHead

  Discussions |

  Apr 14, 2025 12:53 PM

  1091 views | 3 replies

• Importing large Parquet files into JMP

  Hello,   I need to efficiently import large datasets in Parquet format (may be multiple GB) into JMP. I saw the instruction video for CSV import here and used the same approach using the pd.read_parquet instead. My worry in this case is the fact that the import will be very inefficient because the tables need to occupy memory both as Pandas df object and then as the JMP dt. Is there a better appro...

  simpml

  Discussions |

  Apr 14, 2025 7:25 AM

  2035 views | 7 replies

• When to use Standard Least Square personality using the attrobute 'random' instead of Mixed Model personality?

  Hi, I'm trying to make a model with four fixed effects: strain, concentration, their interaction,  day (because I have insufficient experimental days to make it a random effect). The random effects would be replicate nested within plate (intending 96 well plates) and plate nested within day. I understand that I have 2 options to model this in JMP: 1. 'Standard Least Square' personality selecting t...

  blip555555

  Discussions |

  Apr 14, 2025 2:05 AM

  2063 views | 5 replies

• When to use data transformations

  Good afternoon,  I am constructing a LMM and have created a QQ plot attached in image 1. The conditional residuals seem to deviate from normality a fair bit so I transformed the response variable data using log base 10. This improved my R^2 by about 2% and the QQ plot seems a bit better (image 2). However, I'm not sure if these slight improvements are worth the transformation? As I would then have...

  blip555555

  Discussions |

  Apr 14, 2025 12:34 AM

  1099 views | 2 replies