search for: bl_hdl

...uot; $path.sep [1] ":" $r_arch [1] "i386" > str(cph.A.S.H.T.G.S.D) List of 30 $ coefficients : Named num [1:16] 0.0588 0.0296 0.1848 -0.0436 0.0838 ... ..- attr(*, "names")= chr [1:16] "Age" "Age'" "Sex=Male" "BL_HDL.A" ... $ var : num [1:16, 1:16] 6.21e-06 -5.83e-06 -1.43e-06 1.51e-06 -1.03e-06 ... ..- attr(*, "dimnames")=List of 2 .. ..$ : chr [1:16] "Age" "Age'" "Sex=Male" "BL_HDL.A" ... .. ..$ : chr [1:16] "Age" &quo...

Hi, I have a list of fit objects (fit objects from HMISC functions) I create elements in the list in this way lrm.sumtot <- lrm( ae7bepn ~ trarm + sumtot , data=sd.fix) lrm.list[['lrm.sumtot']] <- lrm.sumtot And I can run (anova(lrm.sumtot)) The following also gives the anova I'd expect zz <- lrm.list[['lrm.sumtot']];anova(zz) And similarly for the summary

...Design function, adding a col=col parameter to be passed in the function call to image(), but failed to get the desired effect: # else image(xseqn, y, zmat, xlab = xlab, ylab = laby , col = col) library(Hmisc); library(Design) lr.fit6 <- lrm(death ~ rcs(BL_CHOLEST.A,c(180,220,280))*rcs(BL_HDL.A,c(40,55,70))*Sex, data = pref900) # str(pref900[,c("BL_HDL.A","BL_CHOLEST.A","death")]) $'data.frame': 910659 obs. of 3 variables: $ BL_HDL.A : num 34 35 40 46 39 45 46 34 42 52 ... $ BL_CHOLEST.A: num 181 184 238 134 180 220 125 256 265 175 ......