The magrittr package offers a set of operators which promote semantics that will improve your code by

- structuring sequences of data operations left-to-right (as opposed to from the inside and out),
- avoiding nested function calls,
- minimizing the need for local variables and function definitions, and
- making it easy to add steps anywhere in the sequence of operations.

The operators pipe their left-hand side values forward into expressions that appear on the right-hand side, i.e. one can replace `f(x)`

with `x %>% f`

, where `%>%`

is the (main) pipe-operator. When coupling several function calls with the pipe-operator, the benefit will become more apparent. Consider this pseudo example

```
the_data <-
read.csv('/path/to/data/file.csv') %>%
subset(variable_a > x) %>%
transform(variable_c = variable_a/variable_b) %>%
head(100)
```

Four operations are performed to arrive at the desired data set, and they are written in a natural order: the same as the order of execution. Also, no temporary variables are needed. If yet another operation is required, it is straight-forward to add to the sequence of operations wherever it may be needed.

To install the current development version use devtools:

`devtools::install_github("smbache/magrittr")`

To install the CRAN version:

`install.packages("magrittr")`

`x %>% f`

is equivalent to`f(x)`

`x %>% f(y)`

is equivalent to`f(x, y)`

`x %>% f %>% g %>% h`

is equivalent to`h(g(f(x)))`

`x %>% f(y, .)`

is equivalent to`f(y, x)`

`x %>% f(y, z = .)`

is equivalent to`f(y, z = x)`

It is straight-forward to use the placeholder several times in a right-hand side expression. However, when the placeholder only appears in a nested expressions magrittr will still apply the first-argument rule. The reason is that in most cases this results more clean code.

`x %>% f(y = nrow(.), z = ncol(.))`

is equivalent to `f(x, y = nrow(x), z = nrow(x))`

The behavior can be overruled by enclosing the right-hand side in braces:

`x %>% {f(y = nrow(.), z = ncol(.))}`

is equivalent to `f(y = nrow(x), z = nrow(x))`

To define a unary function on the fly in the pipeline, enclose the body of such function in braces, and refer to the argument as `.`

, e.g.

```
iris %>%
{
n <- sample(1:10, size = 1)
H <- head(., n)
T <- tail(., n)
rbind(H, T)
} %>%
summary
```

Any pipeline starting with the `.`

will return a function which can later be used to apply the pipeline to values. Building functions in magrittr is therefore similar to building other values.

```
f <- . %>% cos %>% sin
# is equivalent to
f <- function(.) sin(cos(.))
```

Some right-hand sides are used for their side effect (e.g. plotting, printing to a file, etc) and it may be convenient to be able to subsequently continue the pipeline. The "tee" operator, `%T>%`

can be used for this purpose and works exactly like `%>%`

, except it returns the left-hand side value, rather than the potential result of the right-hand side operation:

```
rnorm(200) %>%
matrix(ncol = 2) %T>%
plot %>% # plot usually does not return anything.
colSums
```

Many functions accept a data argument, e.g. `lm`

and `aggregate`

, which is very useful in a pipeline where data is first processed and then passed into such a function. There are also functions that do not have a data argument, for which it is useful to expose the variables in the data. This is done with the `%$%`

operator:

```
iris %>%
subset(Sepal.Length > mean(Sepal.Length)) %$%
cor(Sepal.Length, Sepal.Width)
data.frame(z = rnorm(100)) %$%
ts.plot(z)
```

There is also a pipe operator which can be used as shorthand notation in situations where the left-hand side is being "overwritten":

```
iris$Sepal.Length <-
iris$Sepal.Length %>%
sqrt
```

To avoid the repetition of the left-hand side immediately after the assignment operator, use the `%<>%`

operator:

`iris$Sepal.Length %<>% sqrt `

This operator works exactly like `%>%`

, except the pipeline assigns the result rather than returning it. It must be the first pipe operator in a longer chain.

For more detail, see the package vignette

`vignette("magrittr")`