Hi I have a precipitation frequency data from 1989 to 2019. I want to see a trend line between year and the precipitation frequency using Poisson regression. I wanted to know weather precipitation volatility has increased in latter years. The frequency data contains 0, 1, 2, and 3 numbers. I have JMP 14 but not jmp pro. Any advise. My data look like this:  1989 - Frequency 0 1990 - Frequency 0 1991 - Frequency 1 1992 - Frequency 0 1993 - Frequency - 0 1994- Frequency - 0 1895- Frequency - 2       ... View more

Anyone knows of add in bootstrap ... View more

I wanted to know whether due to climate change, the precipitation in the last 16 years (2004 to 2019) had changed from the previous 15 years (1989 to 2003). Our hypothesis is that the weather patterns has changed and precipitation in the last 16 years had increased. Here is the annual average data for different years. Year Precipitation (mm) 1989 384 1990 446 1991 471 1992 491 1993 507 1994 494 1995 356 1996 515 1997 438 1998 651 1999 487 2000 358 2001 353 2002 365 2003 396 2004 427 2005 551 2006 390 2007 298 2008 554 2009 451 2010 428 2011 571 2012 448 2013 818 2014 514 2015 654 2016 498 2017 429 2018 411 2019 529   I run this data using JMP after representing previous 15 years by X and last 16 years by Y. see below.   I performed permutation test. See below:           Results show that 91 per cent time I could say that the precipitation increased in the last 16 years (2004 to 2020) than previous 15 years (1989 to 2003). My questions are as follows: Is the analysis correct? Should permutation performed with or without replacement? Is there any other method, which can give us better results for this kind of analysis for example “the linear trend model?”     Other questions: When a frequency data ranges from 0 to 30 and there are so many zeros in data, should the data be transformed?   Like taking the square root of each number, taking logarithm of each number (+.5) before fitting a “regression test” or “permutation test”?      ... View more

We produce potatoes in different regions at global level. We have the weather data for these regions for the last 30 years. Based on this past weather data, we want to forecast the frequency of temperature (cold and dry spells), and precipitation (dry and wet spells) for the next 30 years. Can some one suggest me how to predict the future weather events based on the past data in JMP. And then based on the weather forecast I want to predict the potato production in different regions. ... View more

Data is attached: Questions: I have used randomized complete block design with 4 reps/blocks. 1) Fit model vs Y by X which should be used and why? 2) How to construct the model?  Should reps should be included in the model construct? I have attached a document where I have analyzed the data using different models, which one is right and why? ... View more

  File is attached please ... View more

hi I am comparing yield of three varieties of potatoes, variety A has 10 samples, variety B has 5 samples and varietry C has 20 samples. So sample number (replications) are not even. I want to perform ANOVA using fit model. I have created three comuns Variety, sample#, and yield. So, yield (continuous) is the response factor. In the constrct model, do I have to include only varietry (nminal) or both varietry (nominal) and sample (nominal). Thanks ... View more