search for: methodxxx

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2009 Mar 16
0
the effect of blocking on the size of confidence intervals - analysis using lme and lmer
...> m1.lmer = lmer( response ~ method -1 + ( 1 | target ), data = d) ... > summary.lm( m0.lm ) ... Estimate Std. Error t value Pr(>|t|) methodFTREES 0.34163 0.03221 10.61 <2e-16 *** methodMACCS 0.45525 0.03221 14.13 <2e-16 *** methodXXX.pg.trained 0.49498 0.03221 15.37 <2e-16 *** methodXXX.rpg.trained 0.45049 0.03221 13.99 <2e-16 *** ... Residual standard error: 0.2952 on 332 degrees of freedom ... > summary( m1.lme ) ... Value Std.Error DF t-value p-value methodFTREES...
2009 Mar 16
0
the effect of blocking on the size of confidence intervals - analysis using aov
...154). For the m0.aov model the approach is straight forward: > summary.lm(m0.aov) ... Coefficients: Estimate Std. Error t value Pr(>|t|) methodFTREES 0.34163 0.03221 10.61 <2e-16 *** methodMACCS 0.45525 0.03221 14.13 <2e-16 *** methodXXX.pg.trained 0.49498 0.03221 15.37 <2e-16 *** methodXXX.rpg.trained 0.45049 0.03221 13.99 <2e-16 *** ... Residual standard error: 0.2952 on 332 degrees of freedom ... Thus the confidence interval for "methodFTREES" is given by: 0.34163 +- qt( 0.025, 332 )*0.03221 =...