WebAug 3, 2024 · coef1 = as.numeric ( model$coeff ["poly (x, 2)1"] ) coef2 = as.numeric ( model$coeff ["poly (x, 2)2"] ) (xmax = - ( coef1 * a1 + coef2 * b1 ) / (2 * coef2 * b2)) which gives: x 97.501114 CHECK We can verify the maximum by adding it to the prediction's curve as a green cross: WebMay 26, 2014 · The coefficients for bvW, abncoreW, and neg_siW are all estimated quite precisely; their standard errors are small and so their 95% CIs are all narrow. The …
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WebApr 3, 2024 · Part of R Language Collective Collective. 1. I am trying to run the code below in order to simulate a set of P-values using a generalised linear model. However, I keep getting the error: Lapack routine dgesv: system is exactly singular: U [6,6] = 0. Here is the code I am trying to run: #which_p_value = "x1" which_p_value = "groupcategory" # ... WebCoe College Live and On-Demand Video Streaming from the Coe College golden state warriors basketball shop
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