selecting parts of a table

Assuming that your dataframe is DF and those are names of columns then

?subset

 > DF <- data.frame(posit=runif(20, max=20), tvalues = runif(20, max=  
10))
 >
 > subset(DF, subset= posit > 10 & tvalues > 3.5 )
       posit  tvalues
4  14.66464 9.527535
6  14.71280 7.231015
9  14.76594 7.626381
10 14.05379 7.198893
11 14.23830 7.219855
12 17.47984 3.844767
13 10.95396 4.639608
15 13.21104 6.828144
19 11.75401 5.249528
20 12.95288 6.963767

.. should do the trick

I have a dataframe called Match with two columns: position and tvalue.

I would like to select the parts of the dataframe that have a  
position> 10
but <50 and tvalues >3.5 as a new stand alone dataframe.

Could anyone help me with how to do this?

Thanks Emma
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