The primary contribution of this function is that if a single row or column is selected, the object that is returned will be a matrix or a dataframe—and it will not be collapsed into a single vector, as is the usual behavior in R.

1 |

`data` |
A matrix or dataframe from whence data will be selected |

`selection` |
A character vector with column (or row) names, or, a numeric vector with column (or row) indexes. |

`cols` |
A logical, that when |

Selecting no rows or no columns is possible if `selection = 0`

or if `length(selection) == 0`

.
In this case, a data frame or matrix with either 0 columns or 0 rows is returned.

The matrix or data frame is returned with the selected columns or rows.

Landon Sego

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 | ```
# Consider this data frame
d <- data.frame(a = 1:5, b = rnorm(5), c = letters[1:5], d = factor(6:10),
row.names = LETTERS[1:5], stringsAsFactors = FALSE)
# We get identical behavior when selecting more than one column
d1 <- d[, c("d", "c")]
d1c <- select(d, c("d", "c"))
d1
d1c
identical(d1, d1c)
# Different behavior when selecting a single column
d[,"a"]
select(d, "a")
# We can also select using numeric indexes
select(d, 1)
# Selecting a single row from a data frame produces results identical to default R behavior
d2 <- d[2,]
d2c <- select(d, "B", cols = FALSE)
identical(d2, d2c)
# Now consider a matrix
m <- matrix(rnorm(20), nrow = 4, dimnames = list(LETTERS[1:4], letters[1:5]))
# Column selection with two or more or more columns is equivalent to default R behavior
m1 <- m[,c(4, 3)]
m1c <- select(m, c("d", "c"))
m1
m1c
identical(m1, m1c)
# Selecting a single column returns a matrix of 1 column instead of a vector
m[,2]
select(m, 2)
# Selecting a single row returns a matrix of 1 row instead of a vector
m2 <- m["C",]
m2c <- select(m, "C", cols = FALSE)
m2
m2c
is.matrix(m2)
is.matrix(m2c)
# Selecting no rows or no columns occurs if 0 or an object of length 0
# is passed to 'selection'
select(d, 0)
select(d, which("bizarre" %in% colnames(d)))
select(d, 0, cols = FALSE)
``` |

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