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- 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
- > c(a=5, b=4.25, c=4.5)
- a b c
- 5.0 4.25 4.5
- x[r,]
- #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
- > d <- data.frame(a=1:3, b=4:6, c=7:9)
- > d
- a b c
- 1 1 4 7
- 2 2 5 8
- 3 3 6 9
- > d[1, ]
- a b c
- 1 1 4 7
- > d[1, ]['a']
- a
- 1 1
- 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))
- subset(x, A ==5 & b==4.25 && c==4.5)
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