$r_0$. We find $r_0=8.49 ^{+1.97}_{-2.05}
h^{-1}$ Mpc for the EdS model (with $\gamma=1.58$) and $r_0=8.64
^{+2.00}_{-2.08} h^{-1}$ Mpc for the $\Lambda$ model (with $\gamma=1.56$). The quoted errors on $r_0$ are based on the assumption of a fixed slope. It is well known that the errors on $r_0$ and $\gamma$ are correlated. Fixing the slopes to $\gamma=1.58$ and 1.56 allows us to derive the confidence levels for the integrated TPCF $\bar{\xi}$ which can be consistently compared with 2QZ results.

It can be useful to present the previous results in a non-parametric form, specified by the clustering amplitude within a given comoving radius, rather than as a scale length which depends on a power-law fit to $\xi(r)$. This is generally represented by the correlation function integrated over a sphere of a given radius in redshift-space $r_{\rm  
max}$, $$\bar{\xi}(r_{\rm max})=\frac{3}{r_{\rm max}^3}\int_0^{r_{\rm max}}    
\xi(x)x^2{\rm d}x \ .$$ This is the same quantity we plotted in Figs. \[totflat\] and \[totlambda\] for varying $r_{\rm max}$. Different authors have chosen a variety of values for $r_{\rm max}$, e.g. $10 h^{-1}$ Mpc [@sb94; @cs96], $15 h^{-1}$ Mpc [@lac98], or $20 h^{-1}$ Mpc [@2qzclust]. In general, the larger the scale on which the clustering is measured, the easier the 