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Latest Discussions

• PCA and T-Square T^2

  Multivariate Control Chart (from the control chart menu) shows results for Principal Components on Covariances. Doing Principal Components (from the multivariate methodes menu), also on Correlations gives the same eigenvalues and cumulative percentage. Both are scaled. However, the eigenvectors and pc formulas (those that are save to the data table) are not the same. Am I missing something? Thanks

  RonB

  Discussions |

  Jul 3, 2018 6:18 AM

  2979 views | 1 replies

• Problem with Clear log () in JMP14

  Hi, I have a problem with the clear log (); instruction.It was working well in jmp 12, 11, 10, etc...But with the new JMP14 ( Iswitch about 1 month ago), some time it works, some time not.  All my scripts start with this header: Names Default to here (1); // set all variables as local Open log (1); clear log(); include("My_own_path.jsl"); // define the path stored in include_path variable
// Real ...

  r23426

  Discussions |

  Jul 3, 2018 4:24 AM

  2887 views | 3 replies

• Determine the correct sampling rate for SPC data

  Hello, I have an SPC data with UCL = 12.015 and LCL = 12 (target is 120.007) - see attached.My OOC (Out Of Control) values are too high and I want to check that my sampling rate is correct.Current sample rate is 0.1 (1 out of 10 parts are measured) and we are missing OOC measurements (there are 2 groups of SPC values with same limits: "Measure Depth 7" and "Measure Depth 1"). I tried using the sam...

  yoni-b

  Discussions |

  Jun 29, 2018 3:59 AM

  9041 views | 4 replies

• Exact match and Nearest Match for updating a table with another table

  I have a big data table (1M rows).  One column is serialNumber, one column is dateTime, one column is elapsedTime.  Another much smaller table also has these columns, but the dateTime is earlier by an small amount (5-20 minutes) and the elapsedTime is a much more accurate value.  The small table also has lots of extra rows associated with other events at other dateTimes (I do not have an 'event' c...

  mann

  Discussions |

  Jun 28, 2018 11:01 AM

  3022 views | 3 replies

• normalcy test for residuals

   I am plotting Y vs X (see attachment). The regression line apperas to be quite good. R seq > 0.99. However when I make a residul plot, I get an inverted U. Some people say that such a residual plot point to that the Regression line is not good enough. My question is:  1. Is there some way to improve the residual plot and the Leniar regression (may be by changing intercept ?).  2. I performed a te...

  peerr12

  Discussions |

  Jun 28, 2018 2:30 AM

  5552 views | 8 replies