search for: do_modelmatrix

...st of the 0.62 series, 0.63 is getting pretty stable now. Here's the top of the CHANGES file: CHANGES IN R VERSION 0.62.3 NEW FEATURES o preserve factor levels and contrast settings in model objects o factor[...,drop=T] reduces level set o added dblepr, intpr o do_modelmatrix(model.c): Set rownames from data argument. o New generic function preplot(). o A new R BATCH interface for non-interactive execution. o Added `offline' argument to help() for producing hardcopy via latex and dvips. o glm.fit.null now calculates AIC and print.glm.null...

...st of the 0.62 series, 0.63 is getting pretty stable now. Here's the top of the CHANGES file: CHANGES IN R VERSION 0.62.3 NEW FEATURES o preserve factor levels and contrast settings in model objects o factor[...,drop=T] reduces level set o added dblepr, intpr o do_modelmatrix(model.c): Set rownames from data argument. o New generic function preplot(). o A new R BATCH interface for non-interactive execution. o Added `offline' argument to help() for producing hardcopy via latex and dvips. o glm.fit.null now calculates AIC and print.glm.null...

Dear all, I have encountered some strange things when creating lm objects in R: model depends on the order of the terms specified in a formula. Let us consider the following simple example: > dat <- expand.grid(A = factor(c("a1", "a2")), + B = factor(paste("b", 1:4, sep="")), + rep = factor(1:2)) >

Dear all, I want to see the source codes for "dchisq(x, df, ncp=0, log = FALSE)", but cannot find it. I input "dchisq" in the R interface, and then enter, the following message return: > dchisq /*****************************************************/ function (x, df, ncp = 0, log = FALSE) { if (missing(ncp)) .Internal(dchisq(x, df, log)) else