Opened 10 years ago
Last modified 6 years ago
#2376 new enhancement
Add p-value for regression slope in r series
Reported by: | mastho | Owned by: | |
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Priority: | normal | Milestone: | 7.6.2 |
Component: | Raster | Version: | svn-releasebranch70 |
Keywords: | r.series, p-value regression | Cc: | pvanbosgeo |
CPU: | Unspecified | Platform: | Unspecified |
Description
The calculation of t-values has been added to r.series in r53742 (method=tvalue). It would be nice to have also the corresponding p-values for the regression as method in r.series.
Also discussed here: http://osgeo-org.1560.x6.nabble.com/Calculate-p-value-for-regression-slope-in-r-series-td5014228.html
Change History (12)
comment:1 by , 10 years ago
Keywords: | r.series p-value regression → r.series, p-value regression |
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Milestone: | → 7.0.0 |
Version: | unspecified → svn-releasebranch70 |
follow-up: 3 comment:2 by , 10 years ago
Cc: | added |
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You can calculate the p-value using the scipy library (from http://stackoverflow.com/questions/17559897/python-p-value-from-t-statistic). For example, if tt is the t value
import scipy.stats as stats import numpy as np tt = 2.4 n = 10 pval = stats.t.sf(np.abs(tt), n-1)*2 (two-sided p-value)
Perhaps this can be used either to create a script or in r.series?
comment:3 by , 10 years ago
Replying to pvanbosgeo:
You can calculate the p-value using the [python] scipy library
Considering that you want to calculate a p value for each single pixel, the chances that you get randomly some very small p values increase with the number of pixels. You would need to correct for that, with Bonferroni or some method that escapes the iron claw of Bonferroni. In any case, all your p values will most probably become not significant after any method of correction for multiple testing.
Therefore it is more appropriate to make prior assumptions about slope, intercept, and effect size, then judge the results according to these prior assumptions.
comment:4 by , 9 years ago
Milestone: | 7.0.0 → 7.0.5 |
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comment:5 by , 8 years ago
Milestone: | 7.0.5 → 7.3.0 |
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comment:7 by , 7 years ago
You can calculate regression p-value using R and the raster package. Here is a StackOverflow post about it:
comment:9 by , 7 years ago
Milestone: | 7.4.1 → 7.4.2 |
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comment:10 by , 6 years ago
Milestone: | 7.4.2 → 7.6.0 |
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All enhancement tickets should be assigned to 7.6 milestone.
See especially