Nothing

```
#######################################################################
# rEMM - Extensible Markov Model (EMM) for Data Stream Clustering in R
# Copyright (C) 2011 Michael Hahsler
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License along
# with this program; if not, write to the Free Software Foundation, Inc.,
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
## mapping helper
map <- function(x,
range = c(0, 1),
from.range = NA) {
if (any(is.na(from.range)))
from.range <- range(x, na.rm = TRUE)
## check if all values are the same
if (!diff(from.range)) {
x[] <- mean(range)
return(x)
}
## map to [0,1]
x <- (x - from.range[1])
x <- x / diff(from.range)
## handle single values
if (diff(from.range) == 0)
x <- 0
## map from [0,1] to [range]
if (range[1] > range[2])
x <- 1 - x
x <- x * (abs(diff(range))) + min(range)
x[x < min(range) | x > max(range)] <- NA
x
}
```

**Any scripts or data that you put into this service are public.**

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.