I'm not aware of a way that one can have "blank" data.frame
elements
in R....something about this seems mighty suspicious...
For the NA's, if you wish to omit them, I might suggest na.omit()
I don't know if you've seen this, but you should have a look at the
apropos() command. Very helpful
Michael
On Mon, Nov 14, 2011 at 11:50 PM, arunkumar1111 <akpbond007 at gmail.com>
wrote:> Hi,
>
> ?I want to remove the entire row from the dataset if any of the row
contains
> blank or NA
>
> my dataset look like
>
> State ? Year ? ?Y ? ? ? X2 ? ? ?X3 ? ? ?X4 ? ? ?X5 ? ? ?X6
> State1 ?1960 ? ?27.8 ? ?397.5 ? 42.2 ? ?50.7 ? ?78.3 ? ?65.8
> State2 ?1960 ? ?29.9 ? ?413.3 ? 38.1 ? ?52 ? ? ?79.2 ? ?66.9
> State1 ?1961 ? ?29.8 ? ?439.2 ? 40.3 ? ?54 ? ? ?79.2 ? ?67.8
> State2 ?1961 ? ?30.8 ? ?459.7 ? 39.5 ? ? ? ? ? ?79.2 ? ?69.6
> State1 ?1962 ? ?31.2 ? ?492.9 ? 37.3 ? ?54.7 ? ?77.4 ? ?68.7
> State2 ?1962 ? ? ? ? ? ?528.6 ? 38.1 ? ? ? ? ? ?80.2 ? ?73.6
> State1 ?1963 ? ?35.6 ? ?560.3 ? 39.3 ? ?69.8 ? ?80.4 ? ?76.3
> State2 ?1963 ? ?36.4 ? ?624.6 ? 37.8 ? ?65.9 ? ? ? ? ? ?77.2
> State1 ?1964 ? ? ? ? ? ?666.4 ? 38.4 ? ?64.5 ? ?85.5 ? ?78.1
> State2 ?1964 ? ?38.4 ? ?717.8 ? 40.1 ? ? ? ? ? ?93.7 ? ?84.7
> State1 ?1965 ? ?40.4 ? ?768.2 ? 38.6 ? ?73.2 ? ? ? ? ? ?93.3
> State2 ?1965 ? ?40.3 ? ? ? ? ? ?39.8 ? ?67.8 ? ?104.8 ? 89.7
>
> I want to remove the entire row from the dataset if any of the rows have
> blanks or NA
>
>
> --
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