Thank you Paulo! I think your way is feasible. For r.series, t could be caluclate via R2 using r.mapcalc. I am also a newcomer to time series analysis. Hope r.series may add t,f, p function soon.
Best regard, Dehui -----原始邮件----- 发件人: "Paulo van Breugel" <[email protected]> 发送时间: 2012年11月9日 星期五 收件人: "王德辉" <[email protected]> 抄送: "GRASS users email list" <[email protected]> 主题: Re: Re: [GRASS-user] Calculate p value for regression slope in r.series Hi Dehui, What about my previous suggestion to use dummy variable that indicates time periods (fixed values 0, 1,2,3...N) for N time periods? I am new to time series analysis, so please let me know if the below makes sense. So you could use your data (Y) as one time series, and the dummy time variables as the second time series (T): Y = bT + c. Resulting slope, offset and R2 between r.series and r.regression.series are close to identical. Differences are very small (a factor 10¹⁰ smaller then the actual slope or offset value) soI assume this is due to some differences in rounding (@MarkusN, do you have an idea?) Concrete, if you have a time series of let's say annual rainfall over 10 years. You create 10 layers using r.mapcalc, with all cells of the first layer = 0, all cells in the second layer = 1... all cells in the 10th layer = 9. Now you have two time series you can use in r.regression.series. There is the possible problem of auto-correlation, so the t and f values calculated with r.regression.series should be considered with care. As said, I am new to time series analysis, so will need to study more how to deal with this. Not sure that is going to be easy using GRASS. Cheers, Paulo On Thu, Nov 8, 2012 at 2:21 PM, 王德辉 <[email protected]> wrote: r.regression.series is a module to calculate linear regression parameters between two time series. I only want to calculate parameters in one time series, how to use this model in one time serie condition? thanks! dehui -----原始邮件----- 发件人: "Paulo van Breugel" <[email protected]> 发送时间: 2012年11月8日 星期四 收件人: "Moritz Lennert" <[email protected]> 抄送: "GRASS users email list" <[email protected]> 主题: Re: [GRASS-user] Calculate p value for regression slope in r.series Good suggestion, and coincidentally I was just looking at it. Am I correct to assume that to mimic the calculation of slope etc in r.series, I would need to create a second time series of 'dummy' maps with values 0 for first time period, 1 for second time period, etc.? I did this in R and it gave the same slope and offset as r.series. Just wondering, if it is implemented in r.regression.series, would it be very difficult to port to r.series? Or do the two things function different internally? Cheers, Paulo On Thu, Nov 8, 2012 at 10:55 AM, Moritz Lennert <[email protected]> wrote: On 06/11/12 09:55, Paulo van Breugel wrote: Hi, I am using r.series to calculate linear regression slope, offset and coefficient of determination. But any idea how I can get the standard deviation t-value and p-value of the slope? Try MarkusN's r.regression.series in the addons for grass7. It allows the calculation of t and f values. IIRC, p-value can be calculated from t-value. Moritz
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