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Hi, I am trying to set up a Fedora Directory server for centralised authentication. I configure the directory server, add a user called (via the Java GUI) test and then, using system-config-authentication, enable LDAP on both tabs. I then try to log-in using the test account I set up on the directory, but I get an error message in /var/log/messages: May 30 16:28:27 ds1 sshd(pam_unix)[4445]:

I'm running a huge number of regressions in a loop, so I tried lm.fit for a speedup. However, I would like to be able to calculate the t-stats for the coefficients. Does anyone have some functions for calculating the regression summary stats of an lm.fit object? Thanks, Whit

Hello R experts I have two linear regressions for sexes (Male, Female, Unknown). All have a good correlation between body length (response variable) and head length (explanatory variable). I know it is not recommended, but for a good practical reason (the purpose of study is to find a single conversion factor from head length to body length), the regressions need to go through the origin (0

...100) # Get the default coefficient output using summary.lm() > coef(summary(lm(y ~ x)))                   Estimate Std.. Error     t value  Pr(>|t|) (Intercept)  0.1088521158 0.09034800  1.20480938 0.2311784 x           -0.0009323697 0.09472155 -0.00984327 0.9921663 # Now use calc.lm.t lmf <- lm.fit(model.matrix(y ~ x), y) > calc.lm.t(lmf)                        est         se        tval (Intercept)  0.1088521158 0.09034800  1.20480938 x           -0.0009323697 0.09472155 -0.00984327 I'll leave it to you to see whether this approach may or may not be  helpful from a t...