asInteger is intended to be used for vectors while asInt is
a specialization for scalar integers and asCount for scalar
non-negative integers.
Convertible are (a) atomic vectors with all elements NA
and (b) double vectors with all elements being within tol
range of an integer.asInteger(x, ..., tol = sqrt(.Machine$double.eps), add = NULL,
.var.name = vname(x))asCount(x, na.ok = FALSE, positive = FALSE,
tol = sqrt(.Machine$double.eps), add = NULL, .var.name = vname(x))
asInt(x, na.ok = FALSE, lower = -Inf, upper = Inf,
tol = sqrt(.Machine$double.eps), add = NULL, .var.name = vname(x))
assertIntegerish.double(1)]
Numerical tolerance used to check whether a double or complex can be converted.
Default is sqrt(.Machine$double.eps).AssertCollection]
Collection to store assertions. See AssertCollection.character(1)]
Name of the checked object to print in error messages. Defaults to
the heuristic implemented in vname.logical(1)]
Are missing values allowed? Default is FALSE.logical(1)]
Must x be positive (>= 1)?
Default is FALSE.numeric(1)]
Lower value all elements of x must be greater than.numeric(1)]
Upper value all elements of x must be lower than.x.asInteger(c(1, 2, 3))
asCount(1)
asInt(1)Run the code above in your browser using DataLab