# Wrapper function to get function from character vector referring to function from namespace. Passed to 'do.call()'

This function follows the idea from this comment:
https://stackoverflow.com/questions/38983179/do-call-a-function-in-r-without-loading-the-package

## Usage

``` r
getfun(x)
```

## Arguments

- x:

  function or function name

## Value

function or character vector

## Examples

``` r
getfun("stats::lm")
#> function (formula, data, subset, weights, na.action, method = "qr", 
#>     model = TRUE, x = FALSE, y = FALSE, qr = TRUE, singular.ok = TRUE, 
#>     contrasts = NULL, offset, ...) 
#> {
#>     ret.x <- x
#>     ret.y <- y
#>     cl <- match.call()
#>     mf <- match.call(expand.dots = FALSE)
#>     m <- match(c("formula", "data", "subset", "weights", "na.action", 
#>         "offset"), names(mf), 0L)
#>     mf <- mf[c(1L, m)]
#>     mf$drop.unused.levels <- TRUE
#>     mf[[1L]] <- quote(stats::model.frame)
#>     mf <- eval(mf, parent.frame())
#>     if (method == "model.frame") 
#>         return(mf)
#>     else if (method != "qr") 
#>         warning(gettextf("method = '%s' is not supported. Using 'qr'", 
#>             method), domain = NA)
#>     mt <- attr(mf, "terms")
#>     y <- model.response(mf, "numeric")
#>     w <- as.vector(model.weights(mf))
#>     if (!is.null(w) && !is.numeric(w)) 
#>         stop("'weights' must be a numeric vector")
#>     offset <- model.offset(mf)
#>     mlm <- is.matrix(y)
#>     ny <- if (mlm) 
#>         nrow(y)
#>     else length(y)
#>     if (!is.null(offset)) {
#>         if (!mlm) 
#>             offset <- as.vector(offset)
#>         if (NROW(offset) != ny) 
#>             stop(gettextf("number of offsets is %d, should equal %d (number of observations)", 
#>                 NROW(offset), ny), domain = NA)
#>     }
#>     if (is.empty.model(mt)) {
#>         x <- NULL
#>         z <- list(coefficients = if (mlm) matrix(NA_real_, 0, 
#>             ncol(y)) else numeric(), residuals = y, fitted.values = 0 * 
#>             y, weights = w, rank = 0L, df.residual = if (!is.null(w)) sum(w != 
#>             0) else ny)
#>         if (!is.null(offset)) {
#>             z$fitted.values <- offset
#>             z$residuals <- y - offset
#>         }
#>     }
#>     else {
#>         x <- model.matrix(mt, mf, contrasts)
#>         z <- if (is.null(w)) 
#>             lm.fit(x, y, offset = offset, singular.ok = singular.ok, 
#>                 ...)
#>         else lm.wfit(x, y, w, offset = offset, singular.ok = singular.ok, 
#>             ...)
#>     }
#>     class(z) <- c(if (mlm) "mlm", "lm")
#>     z$na.action <- attr(mf, "na.action")
#>     z$offset <- offset
#>     z$contrasts <- attr(x, "contrasts")
#>     z$xlevels <- .getXlevels(mt, mf)
#>     z$call <- cl
#>     z$terms <- mt
#>     if (model) 
#>         z$model <- mf
#>     if (ret.x) 
#>         z$x <- x
#>     if (ret.y) 
#>         z$y <- y
#>     if (!qr) 
#>         z$qr <- NULL
#>     z
#> }
#> <bytecode: 0x5611878e96b8>
#> <environment: namespace:stats>
```