Hi:
Is this what you're after?
f <- function(x) !any(x %in% terms_exclude) && any(x %in% terms_include)
db[apply(db[, -1], 1, f), ]
ind test1 test2 test3
2 ind2 2 27 28.0
4 ind4 3 2 1.2
HTH,
Dennis
On Wed, Oct 5, 2011 at 8:53 AM, natalie.vanzuydam <nvanzuy...@gmail.com> wrote:
> Hi all,
>
> I realise that the convention is to provide a working example of my problem
> but the data are of a sensitive nature so I'm not able to do that in this
> case.
>
> I need to query a database for multiple search terms:
>
> db <- structure(list(ind = c("ind1", "ind2", "ind3", "ind4"), test1 = c(1,
> 2, 1.3, 3), test2 = c(56L, 27L, 58L, 2L), test3 = c(1.1, 28,
> 9, 1.2)), .Names = c("ind", "test1", "test2", "test3"), class =
> "data.frame", row.names = c(NA,
> -4L))
>
> terms_include <- c("1","2","3")
> terms_exclude <- c("1.1","1.2","1.3")
>
> So I need to write a loop where the search of each value in the list of
> terms_include is searched over the entire data frame. I thought of using
> apply with grepl and subset? At the same time if the value of terms_include
> occurs in the same row as values from terms_exclude then that row must be
> excluded from the output dataframe.
>
> I'm not sure where to even begin. I've only worked very basically with
> subset. The final database is much larger and the number of search terms is
> many more than are presented here so I would really need to be able to loop
> over the data frame successively to return a final df with my searched
> values in at least one of the columns.
>
> Your help and assistance is much appreciated,
> Natalie
>
>
>
> -----
> Natalie Van Zuydam
>
> PhD Student
> University of Dundee
> nvanzuy...@dundee.ac.uk
> --
> View this message in context:
> http://r.789695.n4.nabble.com/Subsetting-a-data-frame-with-multiple-values-and-exclusions-tp3874967p3874967.html
> Sent from the R help mailing list archive at Nabble.com.
>
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