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Latest Discussions

• Clustering result change everytime I contuct latent class analysis(LCA) on my text data

  Hi there, I used LCA of text explorer form to cluster my text data, but everytime I run it. it gives me different results. Anyone know why it happens? Also, what is the difference between these two clustering methods on text explorer platform, latent class analysis(LCA) and clustering documents in Latent semantic analysis?

  sigma_field

  Discussions |

  May 31, 2019 7:40 AM

  8248 views | 8 replies

• How do I visualize individual relationships in multiple regression

  Dear all I have put together a multiple regression model in JMP from fit model. I already visualized the relationships with fit y by x before beginning. My question is, how can I visualize the relationships between the response and the variables after the model has been output? I have tried prediction profiler, but I would like to see the relationships with all data points, so that I can fit lines...

  FISH1

  Discussions |

  May 31, 2019 7:02 AM

  4475 views | 3 replies

• Text to Columns result columns

  I'm using the built-in JSL Text to Columns() function. I won't know how many "segments" my input text has, so I won't know in advance how many new columns will result from calling the function. But I need to know this so I can do certain subsequent steps in my script. Back when this was an add-in, Jeff Perkinson's v3 returned a result that gave the names of the columns that had been created; the v...

  john_madden

  Discussions |

  May 30, 2019 12:14 PM

  8331 views | 3 replies

• Text time to numeric time

  I am having an issue converting a text time format to a numeric time format. Data should be of the format MM:SS.0  (This is the format it was in excel). After the import into JMP I have a long string (i.e. 2.1713e-5) that I seem to be unable to do anything with. This time value represents a time duration that needs to be in the format of MM:SS.0  I have tried a few solutions but nothing quite seem...

  Sciguy_1

  Discussions |

  May 30, 2019 9:08 AM

  5965 views | 5 replies

• Applying kernel smoothing to large datasets

  I frequently work with time series data acquired simultaneously from multiple sensors. For example, 100 sensors may make measurements once per hour for several months. The sensors sometimes report erroneous values and sometimes fail to report. I want to remove the outliers from the dataset and impute the missing values in order to extract values from specific points in time for further post-proces...

  wgardnerQS

  Discussions |

  May 30, 2019 4:12 AM

  6717 views | 6 replies