[R-sig-ME] p-value for fixed factor in lmer

[Volker Dellwo]

Dear Mixed Model users,

below is an lmer function for which I calculated p-values with 
pvals.fnc. In the output I receive five p-values for the fixed factor 
'tempo', one for each level. What I would want, however, is a p-value 
for the entire factor which I can't manage....

Many thanks for any suggestions!

Best wishes,
Volker


MODEL:
> modelA <- lmer(percentV ~ tempo + (1|speaker) + (1|sentence),data=bt.data)
 > print(pvals.fnc(modelA))

OUTPUT:

$fixed
             Estimate MCMCmean HPD95lower HPD95upper  pMCMC Pr(>|t|)
(Intercept)  42.7346  42.7392    40.2256    45.1771 0.0001   0.0000
tempo2       -0.1815  -0.1822    -1.0326     0.7087 0.6728   0.6737
tempo3        0.7979   0.8023    -0.0953     1.6719 0.0768   0.0645
tempo4        1.1526   1.1504     0.2812     2.0028 0.0088   0.0077
tempo5        1.2742   1.2740     0.4183     2.1488 0.0042   0.0032

$random
     Groups        Name Std.Dev. MCMCmedian MCMCmean HPD95lower HPD95upper
1  speaker (Intercept)   3.4334     2.3338   2.3684     1.7773    3.0468
2 sentence (Intercept)   3.6911     2.5546   2.6462     1.6115    3.7921
3 Residual               3.1209     3.1974   3.2010     3.0061    3.4117