Nettetlincom 命令的一个优势在于其可以选择以「比值比」「相对风险比」「发生率比」等形式展示检验结果,只需要在 lincom 后加上 or rrr irr 等选项即可。 这里以「比值比」为例,检验黑人已婚女性与基准组 (白人未婚女性) 相比,加入工会的比值比,在 lincom 命令后加上 or 选项。 从检验结果可以看出,加上 or 选项后 lincom 命令输出的系数 (coef.) 变成了 … Nettetlincom {rigr} R Documentation Tests of Linear Combinations of Regression Coefficients Description Produces point estimates, interval estimates, and p-values for linear …
Stata lincom function equivalent in R. P- values calculation - Reddit
Nettet30. sep. 2024 · Unfortunately, I can't provide the data I'm working with, but I don't think it's necessary to solve the problem. My question is, I think, the same one this guy had 5 years ago (R: testing linear combination of coefficients from multiple regressions with plm), but back then it went unanswered, so I'll try my luck.Essentially, as the title says, I want to … Nettet6. sep. 2024 · Regression in rigr. allowing you to specify different types of regression from one function; automatically computing confidence intervals and p-values using robust standard errors; displaying output in a more intuitive fashion than base R; and. allowing you to specify multiple-partial F-tests. This capability is implemented in the function ... nowpurchase
lincom : Tests of Linear Combinations of Regression …
NettetLinear combination of coefficients after 'survreg' in R. I am new to R and I am looking for a function that resembles the 'lincom' command in Stata. Specifically, I am running a … Nettetlincom {rigr} R Documentation Tests of Linear Combinations of Regression Coefficients Description Produces point estimates, interval estimates, and p-values for linear combinations of regression coefficients using a uRegressobject. Usage lincom( reg, comb, null.hypoth = 0, conf.level = 0.95, robustSE = TRUE, joint.test = FALSE, Nettet2. lincom can display estimates for any linear combination of the form c 0 +c 1 1 +c 2 2 + +c k k. lincom works after any estimation command for which test works. Any valid expression for test syntax 1 (see[R] test) is a valid expression for lincom. lincom is useful for viewing odds ratios, hazard ratios, etc., for one group (that is, one set of nowpurchase industrial