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Logical Testing

logicals.Rd

These functional checks return boolean TRUE/FALSE depending on the result of their test.

Usage

is_int_vec(x)

is_logspace(x)

is_monotonic(x)

has_length(x)

len_one(x)

is_chr(x)

is_dbl(x)

is_lgl(x)

is_int(x)

Arguments

x

A vector, data frame or tibble to be tested.

Value

Logical/boolean

Functions

  • is_int_vec(): A general test of whether a numeric vector object contains only integer values. This is a fix for the generally undesired behavior of is.integer() which doesn't actually test for integer numbers (see its ?help).

  • is_logspace(): Checks if an object containing numeric data is already in log space. This check assumes proteomic values (RFU) and that the vector median, or the entire data matrix, will be greater than 15 if in linear space and less than 10 if log10-transformed.

  • is_monotonic(): A general test of whether the numeric vector x is monotonically increasing or decreasing in value.

  • has_length(): check that length > 0.

  • len_one(): check that length = 1.

  • is_chr(): check for scalar + character type.

  • is_dbl(): check for scalar + double type.

  • is_lgl(): check for scalar + logical type.

  • is_int(): check for scalar + integer type.

See also

floor(), is.integer(), all(), is.numeric()

diff(), all()

Author

Stu Field

Examples

is_int_vec(10)         # does not return TRUE
#> [1] TRUE
is_int_vec(10L)        # does not return TRUE
#> [1] TRUE
is_int_vec(10)
#> [1] TRUE
is_int_vec(1:10)
#> [1] TRUE
is_int_vec(c(3.2, 1:10))
#> [1] FALSE
is_int_vec(rnorm(10))
#> [1] FALSE

# log-space
x <- rnorm(30, mean = 1000)
is_logspace(x)
#> [1] FALSE
is_logspace(log(x))
#> [1] TRUE

df <- data.frame(a = 1:5, ft_1234 = round(rnorm(5, mean = 5000, sd = 100), 1))
is_logspace(df)
#> [1] FALSE
df <- data.frame(a = 1:5, ft_3456 = round(rnorm(5, mean = 3, sd = 1), 1))
is_logspace(df)
#> [1] TRUE

# monotonic
is_monotonic(1:10)      # TRUE
#> [1] TRUE
is_monotonic(10:1)      # TRUE
#> [1] TRUE
is_monotonic(rnorm(10)) # FALSE
#> [1] FALSE
is_monotonic(seq(10, -10, by = -1)) # TRUE
#> [1] TRUE