readCEP {cepreader}R Documentation

Reads a CEP (Canoco) data file

Description

readCEP reads a file formatted by relaxed strict CEP format used by Canoco software, among others.

Usage

readCEP(file, maxdata = 10000, positive = TRUE, sparseMatrix = FALSE,
    ...)

Arguments

file

File name (character variable).

maxdata

Maximum number of non-zero entries.

positive

Read only positive data entries (normal in community data).

sparseMatrix

Return data as a sparse matrix of Matrix package (see sparseMatrix).

...

Other arguments passed to sparseMatrix.

Details

Cornell Ecology Programs (CEP) introduced several data formats designed for punched cards. One of these was the ‘condensed strict’ format which was adopted by popular software DECORANA and TWINSPAN. Later, Cajo ter Braak (1984) wrote Canoco based on DECORANA, where he adopted the format, but relaxed it somewhat (that's why I call it “relaxed strict” format). Further, he introduced a more ordinary “free” format, and allowed the use of classical Fortran style “open” format with fixed field widths. This function should be able to deal with all these Canoco formats, whereas it cannot read many of the traditional CEP alternatives.

All variants of CEP formats have:

With option positive = TRUE the function removes all lines and columns with zero or negative marginal sums. In community data with only positive entries, this removes empty sites and species. If data entries can be negative, this ruins data, and such data sets should be read in with option positive = FALSE.

Value

Returns a data frame (default), where columns are species and rows are sites. Column and row names are taken from the CEP file, and changed into unique R names by make.names after stripping the blanks.

Alternatively the function can return a sparse matrix of Matrix package. This can give considerably saving in disk storage. However, typically the sparse matrix will be expanded to full dense matrix in community analysis. For instance, centred or standardized data matrices are dense. Moreover, some functions may be unable to analyse sparse matrices, but you must cast these to ordinary dense data matrices or data frames before the analysis.

Note

The function calls an external Fortran program to manipulate data so that they can be read into R. The function launches a separate program to read the data. This can trigger a warning with some security settings, and users may need to give permission for the operation.

If you transfer files between operating systems or platforms, you should always check that your file is formatted to your current platform. For instance, if you transfer files from Windows to Linux, you should change the files to unix format, or your session may crash when Fortran program tries to read the invisible characters that Windows uses at the end of each line.

This function was included in vegan up to version 2.4-5. It was moved to a package of its own because compiled functions using Fortran I/O can interfere with compiled code written in other languages. This can disturb vegan, other loaded packages and packages that depend on vegan. Current versions of vegan have function read.cep that uses R code to read in “condensed” data. However, the R code is not as robust as the Fortran code in this package, and it can fail to read or read correctly several legacy files, and does not read “open” and “free” format data.

Author(s)

Jari Oksanen

References

Ter Braak, C.J.F. (1984–): CANOCO – a FORTRAN program for canonical community ordination by [partial] [detrended] [canonical] correspondence analysis, principal components analysis and redundancy analysis. TNO Inst. of Applied Computer Sci., Stat. Dept. Wageningen, The Netherlands.

Examples

## classic example
cepfile <- file.path(path.package("cepreader"), "testdata", "dune.spe")
## peek at the file structure
head(readLines(cepfile), n=10)
tail(readLines(cepfile), n=10)
## as a data frame
readCEP(cepfile)
## as a sparse matrix (Matrix package)
readCEP(cepfile, sparseMatrix = TRUE)

[Package cepreader version 1.2-0 Index]