# Alteration

This page will present you all the functions that can be used to manipulate and alter your patterns. Each function will be presented following the same model:

**Type signature**: how the function is declared on the**Haskell**side.**Description**: verbal description of the function.**Examples**: a small list of examples that you can copy/paste in your editor.

## #

Scaling### #

range`range`

will take a pattern which goes from `0`

to `1`

(such as `sine`

), and scale it to a different range - between the first and second arguments. In the below example, `range 1 1.5`

shifts the range of sine from `0 - 1`

to `1 - 1.5`

.

The above is equivalent to the following:

### #

rangex`rangex`

is an exponential version of `range`

described above, good to use for frequencies. For example, `range 20 2000 "0.5"`

will give `1010`

- halfway between `20`

and `2000`

. But `rangex 20 2000 0.5`

will give `200`

- halfway between on a logarithmic scale. This usually sounds better if youâ€™re using the numbers as pitch frequencies. Since rangex uses logarithms, donâ€™t try to scale things to zero or less!

### #

quantise`quantise`

is useful for rounding a collection of numbers to some particular base fraction. For example,

It will round all the values to the nearest `(1/5)=0.2`

and thus will output the list `[0.0,1.2,2.6,3.2,4.8,5.0]`

. You can use this function to force a continuous pattern like sine into specific values. In the following example:

all the releases selected be rounded to the nearest `0.1`

and the notes selected to the nearest `1`

.

`quantise`

with fractional inputs does the consistent thing: `quantise 0.5`

rounds values to the nearest `2`

, `quantise 0.25`

rounds the nearest `4`

, etc...

## #

Repetitions### #

plyThe `ply`

function repeats each event the given number of times. For example:

... is equivalent to ...

The first parameter may be given as a pattern, so that:

... is equivalent to ...

Here is an example of it being used conditionally:

### #

stutter`stutter`

is like `stut`

that doesn't reduce the volume or `ply`

if you controlled the timing. `stutter n t`

repeats each event in the pattern `n`

times, separated by `t`

time (in fractions of a cycle).

should be functionally equivalent to

Specific conveniences functions that use stutter are:

### #

stripeThe `stripe`

function repeats a pattern at random speeds. The first parameter gives the number of cycles to operate over, for example `stripe 2`

will repeat a pattern twice, over two cycles. Each cycle will be played at a random speed, but in such a way that the total duration will be the same.

For example in the following example, the start of every third repetition of the `d1`

pattern will match with the clap on the d2 pattern.

### #

slowstripeThe `slowstripe`

function is the same as `stripe`

but the result is also slowed down by `n`

time (where `n`

is the first parameter of the function. This means that the mean average duration of the stripes is exactly one cycle, and every nth stripe starts on a cycle boundary (in indian classical terms, the sam). Usage:

### #

palindromeThe `palindrome`

function applies `rev`

to a pattern every other cycle, so that the pattern alternates between forwards and backwards. For example this:

... is the same as this:

... and indeed this:

## #

Truncation### #

trunc`trunc`

truncates a pattern so that only a fraction of the pattern is played. The following example plays only the first three quarters of the pattern:

You can also pattern the first parameter, for example to cycle through three values, one per cycle:

### #

linger`linger`

is similar to `trunc`

, in that it truncates a pattern so that only the first fraction of the pattern is played. However unlike trunc, `linger`

repeats that part to fill the remainder of the cycle.

For example this repeats the first quarter, so you only hear a single repeating note:

or slightly more interesting, applied only every fourth cycle:

or to a chopped-up sample:

You can also pattern the first parameter, for example to cycle through three values, one per cycle:

### #

chunk`chunk`

divides a pattern into a given number of parts, then cycles through those parts in turn, applying the given function to each part in turn (one part per cycle). Example:

The below highlights in bold which part of the above pattern has the (# speed 2) function applied to it over four cycles:

Another example:

### #

chunk'`chunk'`

does the same as chunk but cycles through the parts in the reverse direction.

## #

Shuffling and scrambling### #

shuffle`shuffle`

takes a number and a pattern as input, divides the pattern into the given number of parts, and returns a new pattern as a random permutation of the parts, picking one of each per cycle. This could also be called "sampling without replacement". For example:

... will sometimes play `"sn bd hh"`

or `"hh sn bd"`

, but will never play `"bd sn bd"`

or `"hh hh hh"`

, because that isn't a permutation of the three parts.

### #

scramble`scramble`

takes a number and a pattern as input, divides the pattern into the given number of parts, and returns a new pattern by randomly selecting from the parts. This could also be called "sampling with replacement". For example:

... will sometimes play `"sn bd hh"`

or `"hh sn bd"`

, but can also play `"bd sn bd"`

or `"hh hh hh"`

, because it can make any random combination of the three parts.

### #

rotThe `rot`

function 'rotates' the values in a pattern, while preserving its structure. For example in the following, each value will shift to its neighbour's position one step to the left, so that `b`

takes the place of `a`

, `a`

of `c`

, and `c`

of `b`

:

The result is equivalent of:

The first parameter is the number of steps, and may be given as a pattern, for example:

The above will not rotate the pattern for the first two cycles, will rotate it by one the third cycle, and by three the fourth cycle.

## #

Step sequencers### #

step`step`

acts as a kind of simple step-sequencer using strings. For example, `step "sn" "x x 12 "`

is equivalent to the pattern of strings given by `"sn ~ sn ~ sn:1 sn:2 ~"`

. `step`

substitutes the given string for each x, for each number it substitutes the string followed by a colon and the number, and for everything else it puts in a rest.

In other words, `step`

generates a pattern of strings in exactly the syntax you'd want for selecting samples and that can be fed directly into the s function.

### #

step'`step' `

is like `step`

but more general, using the numbers in the step-sequencing string as indexes into the list of strings you give it.

is equivalent to

##### tip

There is also `steps`

. You can take a look at this function in the `Accumulation`

section

### #

lindenmeyer`lindenmayer`

takes an integer `b`

, a Lindenmayer system rule set and an initiating string as input in order to generate an L-system tree string of `b`

iterations. It can be used in conjunction with a step function to convert the generated string into a playable pattern. For example:

... generates an L-system with initiating string "0" and maps it onto a list of samples.

Complex L-system trees with many rules and iterations can sometimes result in unwieldy strings. Using `take n`

to only use the first `n`

elements of the string, along with a `slow`

function, can make the generated values more manageable.

## #

Higher-order### #

spreadThe `spread`

function allows you to take a pattern transformation which takes a parameter, such as `slow`

, and provide several parameters which are switched between. In other words it 'spreads' a function across several values. Taking a simple high hat loop as an example:

We can speed it up by different amounts, such as by 2x:

Or by 3x:

But if we use `spread`

, we can make a pattern which alternates between the two speeds:

Note that many functions now allow pattern input. This is equivalent to the above:

Note that if you pass (`$`

) as the function to spread values over, you can put different functions as the list of values. For example:

Above, the pattern will have these transforms applied to it, one at a time, per cycle:

After `(# speed "0.8")`

, the transforms will repeat and start at `density 2`

again.

### #

spreadfA convenient shorthand for spread (`$`

).

### #

fastspread`fastspread`

works the same as `spread`

, but the result is squashed into a single cycle. If you gave four values to `spread`

, then the result would seem to speed up by a factor of four. Compare these two:

### #

spreadChoose`spreadChoose`

(alias `spreadr`

) works the same as spread, but the values are selected at random, one cycle at a time. For example: