R Functions
Give a reusable calculation an explicit input and output contract.
How it works
A function groups an operation behind named arguments. R returns the last evaluated expression unless return is used explicitly. Validate the inputs before a calculation that assumes a particular type or shape. This function accepts a small non-empty numeric vector of whole non-negative visit counts and computes its total.
Run this R example
These examples run locally with R, not PHP, Python or JavaScript. The reviewed baseline is R 4.5.2 on Windows x64/UCRT, using only packages shipped with R. This is a tested version, not a newest-release claim. Install your own R from the official R project; an IDE is optional. Save the complete source as functions.R in a separate learning folder and run Rscript --vanilla functions.R. Keep code and fictional fixtures separate from a real project.
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The complete download uses a local scope, restores its temporary options and treats unexpected warnings as errors. Examples that handle an expected warning do so narrowly. Random examples change only their R process’s RNG state. File examples own their temporary output; figure examples leave their named PNG in the current learning folder and refuse to overwrite it. Use a new empty folder to rerun a figure.
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Example
local({
previous_options <- options(warn = 2, digits = 8, stringsAsFactors = FALSE)
on.exit(options(previous_options), add = TRUE)
check_counts <- function(x, allow_missing = FALSE, allow_empty = FALSE) {
if (!(is.integer(x) || is.double(x)) || is.object(x) || !is.null(dim(x))) {
stop("Use a plain numeric vector")
}
if (length(x) > 256L || (!allow_empty && length(x) == 0L)) {
stop("Use 1..256 counts unless empty input is explicitly allowed")
}
if (any(is.nan(x)) || (!allow_missing && anyNA(x))) {
stop("Missing or undefined counts are not allowed here")
}
observed <- x[!is.na(x)]
if (any(!is.finite(observed)) || any(observed < 0) ||
any(observed > 1000000) || any(observed != floor(observed))) {
stop("Counts must be finite whole numbers from 0 to 1000000")
}
invisible(x)
}
total_visits <- function(visits) {
check_counts(visits)
sum(visits)
}
cat("total:", total_visits(c(8, 12, 10)), "\n")
invisible(NULL)
})
Focus on the lesson operations
This excerpt omits the complete script’s option/resource setup. Use the full download to execute it.
check_counts <- function(x, allow_missing = FALSE, allow_empty = FALSE) {
if (!(is.integer(x) || is.double(x)) || is.object(x) || !is.null(dim(x))) {
stop("Use a plain numeric vector")
}
if (length(x) > 256L || (!allow_empty && length(x) == 0L)) {
stop("Use 1..256 counts unless empty input is explicitly allowed")
}
if (any(is.nan(x)) || (!allow_missing && anyNA(x))) {
stop("Missing or undefined counts are not allowed here")
}
observed <- x[!is.na(x)]
if (any(!is.finite(observed)) || any(observed < 0) ||
any(observed > 1000000) || any(observed != floor(observed))) {
stop("Counts must be finite whole numbers from 0 to 1000000")
}
invisible(x)
}
total_visits <- function(visits) {
check_counts(visits)
sum(visits)
}
cat("total:", total_visits(c(8, 12, 10)), "\n")
Expected result
total: 30
The validator rejects logical values, factors, matrices, missing values and unsupported ranges rather than relying on accidental coercion. Its size limits are specific to this teaching function, not limits on R itself. A later project opts into a distinct missing-value policy deliberately.
For API behaviour, consult the official Introduction to R and your installed help pages. These small examples do not establish real-world statistical conclusions or production performance.