Provides a streamlined, standard evaluation-based approach to multivariate function composition. Allows for chaining commands via a forward-pipe operator, %>%.

This is an R package that provides a streamlined, standard evaluation-based approach to function composition.
Using `fc`

, a sequence of functions can be composed together such that returned objects from composed functions are used as intermediate values directly passed to the next function.

To install this package in R, you can install it via the `devtools`

package:

```
devtools::install_github("swang87/fc")
```

The package can then be loaded using:

```
library(fc)
```

The workhorse of the package is the `fc()`

function. Its first argument is either a named function or an anonymous function; subsequent arguments must be named arguments of this function.

We can create a new function that uses partial function valuation to display the first 50 rows of a dataset with:

```
head50 <- fc(head, n=50)
```

The return function has a single argument `x`

, inherited from the `head()`

function. The function `head50()`

consists of:

```
function (x)
{
head(x, n = 50)
}
```

In order to perform function composition, multiple `fc()`

calls could be used in a nested manner:

```
summary50 <- fc(summary, object=fc(head, n = 50)(object))
```

The pipe-forward operator `%>%`

is also supported for defining a pipeline functions to be run from left-to-right. Note differences in usage compared to `magrittr`

and other packages in the Tidyverse.

```
summary50 <- fc(head, n=50) %>% summary
```

In particular, the pipe-forward operator supported by `fc`

cannot accept a data object on its lefthand side. If one wishes to run the composed function on a data object without intermediate storage of the function itself, the following syntax is permissible:

```
(fc(head, n=50) %>% summary)(x)
```

```
log_sqrt_fc_pipe <- fc(log, x=x) %>% fc(sqrt, x=x)
```

This function takes the square root of the log of an input argument `x`

.

```
get_sepal2_pipe <- fc(function(x, cols) {x[sample(1:nrow(x)), cols]},
cols = grep("Sepal", colnames(x))) %>%
fc(head, n = 10) %>% summary
```

More details can be found in our working paper.