hi all.regarding quantile regression results..
This really isn't the appropriate forum for most of your questions: I'd suggest you work through the Wikipedia article on quantiles regression and direct follow up to stats.stackexchange.com. As to the R question: use the predict() function. Michael
On Dec 1, 2011, at 8:12 AM, narendarreddy kalam <narendarcse007 at gmail.com> wrote:
i know this is not about R. After applying quantile regression with t=0.5,0.6 on the data set WBC( Wisconsin Breast Cancer)with 678 observations and 9 independent variables(inp1,inp2,...inp9) and 1 dependent variable(op) i have got the following results for beta values. when t=0.5(median regression) beta values b1=0.002641,b2=0.045746,b3=0. 005282,b4=0.004397,b5=0.002641,b6=0.065807,b7=0.005282 ,b8=0.031394,b9=0.004993 and intercept is -0.181388 and when t=0.6 beta values are b1=0,b2=0.01,b3=0,b4=-0.002,b5=0.004,b6=0.1111,b7=0.002,b8=0,b9=0 and intercept is -0.009 . sir,how to interpret the above beta coefficients and what do they mean exactly??. t=0.5 means are we considering first 50% of the total data? t=0.6 means are we considering the first 60% of the total data? can we write a equation like y=intercept+b1*inp11+b2*inp29+b3*inp3+b4*inp4+b5*inp5+b6*inp6+b7*inp7+b8*inp8+b9*inp9 as in Linear Regression to calculate the predicted output of y or not?? If we are taking into consideration 5 quantiles of data ,Does it mean that we are dividing data it into 5 parts??which variables i have to consider if the data is to be divided into 5 parts? And i got 5 equations for 5 quantiles, what exactly each equation represents? Can i write single equation for the data set as in mean regression by combining the 5 equations of each quantile. Please reply me. Thanks In advance, With regards Kalam Naerndar Reddy M.Tech(IT), University of Hyderabad. -- View this message in context: http://r.789695.n4.nabble.com/hi-all-regarding-quantile-regression-results-tp4128248p4128248.html Sent from the R help mailing list archive at Nabble.com.
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