search for: tadjusted

OK, what is the trick to extracting the overall p value from an lm object? It shows up in the summary(lm(model)) output but I can't seem to extract it: > test2 = apply(aa, 1, function(x) summary(lm(x[,1] ~ 0 + x[,3] + x[,6]))) > test2[[1]] Call: lm(formula = x[, 1] ~ 0 + x[, 3] + x[, 6]) [omitted summary output] F-statistic: 40.94 on 2 and 7 DF, p-value: 0.0001371 It does not seem

Hi all, I'm wanting to be able to find and store the z-score of coxph below: - modz=coxph(Surv(TSURV,STATUS)~RAGE+DAGE+REG_WTIME_M+CLD_ISCH+POLY_VS, data=kidneyT,method="breslow") I know summary(modz) will give me this, but how do i extract the standard error or z-score values in a similar way to obtaining the coefficients by coef(modz) ? I think it must be something to do with

I'd like to capture the results of a print() command so that I can put the results in a tktext widget. I know I can redirect the output to a file with sink. I'm looking for something like that, but where I can redirect the output into a variable. Is there a way to do that? Mike -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Dear list, I want to retrieve the p-value of a two-polynomial regression. For a one-polynomial lm I can easily do this with: summary(lm(b~a, data=c)[[4]][[8]]. But how do I find the final p-value in the two-polynomial regression? Under $coefficients I don't find it Any suggestions? Patrick alt <-(2260,2183,2189,1930,2435, 2000,2100,2050,2020,2470, 1700,2310,2090,1560,2060,

- Use driver level (0x2) for NV_DEBUG instead of all levels - Create a NV_DEBUG_KMS for KMS level (04) and use them in modesetting code - Remove a few odd NV_TRACE calls and replace with NV_DEBUG_KMS Signed-off-by: Maarten Maathuis <madman2003 at gmail.com> --- drivers/gpu/drm/nouveau/nouveau_bios.c | 12 +++++----- drivers/gpu/drm/nouveau/nouveau_connector.c | 8 +++---

...error:", format(signif(x$sigma, digits)), "on", rdf, "degrees of freedom\n") if (!is.null(x$fstatistic)) { cat("Multiple R-Squared:", format(signif(x$r.squared, digits))) cat(",\tAdjusted R-squared:", format(signif(x$adj.r.squared, digits)), "\n") cat("F-statistic:", format(signif(x$fstatistic[1], digits)), "on", x$fstatistic[2], "and", x$fstatistic...