[R] removing rows from a dataframe
Peter Dalgaard BSA
p.dalgaard at biostat.ku.dk
Sun Sep 3 21:17:12 CEST 2000
"Jeff Miller" <jdm at xnet.com> writes:
> Hi,
>
> I have a dataframe, hilodata, which looks like this:
>
> > hilodata
> sym date maxprice minprice ntick
> 1 ABK 19910711 11.1867461 0.0000000 108
> 2 ABK 19910712 11.5298979 11.1867461 111
> 3 ABK 19910715 11.7357889 11.4612675 52
> 4 ABK 19910716 11.5298979 11.3240068 51
> 5 ABK 19910717 11.4612675 11.1181158 23
> 6 CSCO 19910102 0.1553819 0.0000000 106
> 7 CSCO 19910103 0.1527778 0.1458333 166
> 8 CSCO 19910104 0.1475694 0.1397569 205
> 9 CSCO 19910107 0.1414931 0.1362847 164
> 10 CSCO 19910108 0.1440972 0.1380208 127
> 11 CSCO 19910109 0.1467014 0.1414931 83
> 12 CSCO 19910110 0.1440972 0.1414931 70
> 13 KMP 19991213 40.5625000 0.0000000 63
> 14 KMP 19991214 41.3125000 40.4375000 71
> 15 KMP 19991215 42.1875000 41.1875000 99
> 16 KMP 19991216 43.5000000 42.1250000 96
> 17 KMP 19991217 43.8750000 42.5625000 77
> 18 KMP 19991220 44.0000000 43.3750000 56
>
> I'd like to make a new dataframe, newhilodata, that gets rid of each
> symbols first
> row. So, in this example, I'd like to get rid of rows 1, 6 and 13,
> leaving
<snip>
> what is the best way to do this in R?
Well
newhilodata <- hilodata[-c(1,6,13),]
should do it. To solve the more general problem of omitting the first
in each group, assuming "sym" is a factor, try something like
newhilodata <- subset(hilodata, diff(c(0,as.integer(sym))) != 0)
(actually, the as.integer is unnecessary because the c() will unclass
the factor automagically)
--
O__ ---- Peter Dalgaard Blegdamsvej 3
c/ /'_ --- Dept. of Biostatistics 2200 Cph. N
(*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918
~~~~~~~~~~ - (p.dalgaard at biostat.ku.dk) FAX: (+45) 35327907
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