| gjamDeZero {gjam} | R Documentation | 
Compress (de-zero) gjam data
Description
Returns a de-zeroed (sparse matrix) version of matrix ymat with objects needed to re-zero it.
Usage
  gjamDeZero(ymat)
Arguments
| ymat | 
 | 
Details
Many abundance data sets are mostly zeros.  gjamDeZero extacts non-zero elements for storage.  
Value
Returns a list containing the de-zeroed ymat as a vector yvec.
| yvec | non-zero elements of  | 
| n | no. rows of  | 
| S | no. cols of  | 
| index | index for non-zeros | 
| ynames | column names of  | 
Author(s)
James S Clark, jimclark@duke.edu
References
Clark, J.S., D. Nemergut, B. Seyednasrollah, P. Turner, and S. Zhang. 2016. Generalized joint attribute modeling for biodiversity analysis: Median-zero, multivariate, multifarious data. Ecological Monographs 87, 34-56.
See Also
gjamReZero to recover ymat
browseVignettes('gjam')
website 'http://sites.nicholas.duke.edu/clarklab/code/'.
Examples
## Not run: 
library(repmis)
source_data("https://github.com/jimclarkatduke/gjam/blob/master/fungEnd.RData?raw=True")
ymat <- gjamReZero(fungEnd$yDeZero)  # OTUs stored without zeros
length(fungEnd$yDeZero$yvec)         # size of stored version
length(ymat)                         # full size
yDeZero <- gjamDeZero(ymat)
length(yDeZero$yvec)                 # recover de-zeroed vector
## End(Not run)
[Package gjam version 2.6.2 Index]