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- How to customize Quantiles setting for a distribution in JMP?

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Apr 15, 2009 7:27 PM
(7234 views)

Hi, there

Below is a example of quantiles for a distribution. The question is how can I change the* i*th setting to the value I want (eg. 95%th) besides the default setting (100%,99.5%,97.5%,...,0.5%,0.0%)? Appreciate valuable reply, thanks.

**Quantiles**

100.0% maximum 103.30

99.5% 95.76

97.5% 90.33

90.0% 83.16

75.0% quartile 76.65

50.0% median 69.98

25.0% quartile 63.41

10.0% 57.41

2.5% 50.77

0.5% 41.94

0.0% minimum 29.82

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I don't know of a way to customize all the quantiles that are shown in a Distribution report. However, there is a platform preference (**File > Preferences > Platforms > Distribution**) called "Set Quantile Increment". If you only want the 95th percentile, you can check the box for this preference and enter a value of 0.95. This will give you a Quantiles report in Distribution that has only two rows (0% and 95%). If you specify a smaller value (such as .1), then you can get the quantiles at each 10% increment.

Michael Crotty

Sr Statistical Writer

JMP Development

Sr Statistical Writer

JMP Development

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Does anybody know the answer?

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Go to "Tables -> Summary" and look at the "For quantile statistics enter value (%)"

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Thanks,Mike.

The method you suggested is applicable, while can the quantiles table attached to the distribution chart(histogram) be changed?

The method you suggested is applicable, while can the quantiles table attached to the distribution chart(histogram) be changed?

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I don't think there is a way to change the default at this time.

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I don't know of a way to customize all the quantiles that are shown in a Distribution report. However, there is a platform preference (**File > Preferences > Platforms > Distribution**) called "Set Quantile Increment". If you only want the 95th percentile, you can check the box for this preference and enter a value of 0.95. This will give you a Quantiles report in Distribution that has only two rows (0% and 95%). If you specify a smaller value (such as .1), then you can get the quantiles at each 10% increment.

Michael Crotty

Sr Statistical Writer

JMP Development

Sr Statistical Writer

JMP Development