I have a data.frame with column headers.
How can I get a specific row from the data.frame as a list (with the column headers as keys for the list)?
Specifically, my data.frame is
A B C 1 5 4.25 4.5 2 3.5 4 2.5 3 3.25 4 4 4 4.25 4.5 2.25 5 1.5 4.5 3
And I want to get a row that's the equivalent of
> c(a=5, b=4.25, c=4.5) a b c 5.0 4.25 4.5
To get a specific row of a matrix, specify the row number followed by a comma, in square brackets, after the matrix variable name. This expression returns the required row as a vector.
If you'd like to select multiple rows or columns, use a list of values, like this: students[c(1,3,4),] would select rows 1, 3 and 4, students[c("stu1", "stu2"),] would select rows named stu1 and stu2 .
x[r,]
where r is the row you're interested in. Try this, for example:
#Add your data x <- structure(list(A = c(5, 3.5, 3.25, 4.25, 1.5 ), B = c(4.25, 4, 4, 4.5, 4.5 ), C = c(4.5, 2.5, 4, 2.25, 3 ) ), .Names = c("A", "B", "C"), class = "data.frame", row.names = c(NA, -5L) ) #The vector your result should match y<-c(A=5, B=4.25, C=4.5) #Test that the items in the row match the vector you wanted x[1,]==y
This page (from this useful site) has good information on indexing like this.
Logical indexing is very R-ish. Try:
x[ x$A ==5 & x$B==4.25 & x$C==4.5 , ]
Or:
subset( x, A ==5 & B==4.25 & C==4.5 )
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