Scientific notation for p-values still remains after setting 'round' option

[kovla]

Hi,

I am trying to get a neat output from an lm object. Here goes:

x <- rnorm(100,mean=4)
y <- log(x)
model <- lm(y~x)

panderOptions('round')
[1] Inf

pander(model)

--------------------------------------------------------------
     &nbsp;        Estimate   Std. Error   t value   Pr(>|t|) 
----------------- ---------- ------------ --------- ----------
 **(Intercept)**    0.174      0.03739      4.653   1.025e-05 

      **x**         0.2909     0.008972     32.42   3.452e-54 
--------------------------------------------------------------

Table: Fitting linear model: y ~ x

panderOptions('round',2)
pander(model)

--------------------------------------------------------------
     &nbsp;        Estimate   Std. Error   t value   Pr(>|t|) 
----------------- ---------- ------------ --------- ----------
 **(Intercept)**     0.17        0.04       4.653   1.025e-05 

      **x**          0.29        0.01       32.42   3.452e-54 
--------------------------------------------------------------

Table: Fitting linear model: y ~ x

So, only estimates and standard errors are rounded, and not the t- and p-values. Is this is a bug or am I missing some new option to control this? Thanks!

[daroczig]

Thank you very much for finding and filing this bug that I introduced with a recent refactoring. I've just commited a fix, hopefully without causing any new bugs :) Please verify.

[kovla]

All works fine, neat presentation now with keep.trailing.zeros = TRUE. Thank you.