Hi Folks, I'm analysing some data which, in its simplest aspect, has 3 factors A, B, C each at 2 levels.
If I do lm1 <- lm(y ~ A*B) say, and then summary(lm1, corr=T) I get the correlation matrix of the estimated coeffcients with numerical values for the correlations (3 coeffs in this case). Likewise with 'glm' instead of 'lm'. However, if I do lm2 <- lm(y ~ A*B*C) and then summary(lm2, corr=T) I get only symbols (such as ".", "+", "*") for the values, denoting ranges, and not numbers (7 coefficients in this case). Presumably this happens when the number of columns is considered to be getting a bit large for numbers -- though 7 is not huge ... Anyway, is there any way I can get the full correlation matrix out with numbers instead of symbols, even with several coefficients? With thanks, Ted. -------------------------------------------------------------------- E-Mail: (Ted Harding) <[EMAIL PROTECTED]> Fax-to-email: +44 (0)870 167 1972 Date: 20-Dec-02 Time: 02:31:49 ------------------------------ XFMail ------------------------------ ______________________________________________ [EMAIL PROTECTED] mailing list http://www.stat.math.ethz.ch/mailman/listinfo/r-help
