Lingua {lingua} | R Documentation |
Logic powered intriguing notions on gene microarray data. Lingua contains applied logic-based methods for microarray data analysis, e.g. for lookup of new notions out of microarray data.
Package: | lingua |
Type: | Package |
Version: | 1.0-1 |
Date: | 2009-04-13 |
License: | MIT |
LazyLoad: | no |
lingua.normalize(vect, robust = FALSE) lingua.unitize(vect, method = "linear", scale = 0) lingua.pairs(data, mode = "or", by.rows = FALSE) lingua.triplets(data, mode = "or", by.rows = FALSE)
vect |
data vector vect to normalize |
robust |
whether to do robust normalization |
method |
linerar, normal, exponential method |
scale |
forcing the result data density |
data |
data matrix with properties to be combined |
mode |
or for max, and for min combinations |
by.rows |
having row-wise data properties |
Here, we present basic Lingua functions to do data set-up. The main functionality is implemented via Dinorms, Contifiers, and Clustions methods.
normalize
gives normalized vectors, unitize
gives
vectors set into the [-1,1] interval, pairs
and triplets
give data values of connectives-based tuplets.
Look at the Bioplexity web for more information. http://www.bioplexity.org/analysis/
Martin Saturka
Maintainer: Martin Saturka <martin.saturka@bioplexity.org>
Bioplexity - www.bioplexity.org
dinorms
, contifiers
, clustions
library(lingua) ## data normalization into mean=0, var=1 vect <- rnorm(20, 7, 3) vect <- lingua.normalize(vect) ## and putting the values into the [0,1] interval lingua.unitize(vect, "normal", 1) ## combinations of data-matrix columns data <- matrix(rnorm(20), nrow=5, ncol=4) lingua.pairs(data, "or") lingua.triplets(data, "and")