Skip to contents

Row and Column Scaling of a Data Matrix

scaler.Rd

The function provides some popular (and effective) standardization methods for community ecologists.

Usage

scaler(x, col = c("mean1", "max1", "min0", "ssq1", "range01",
  "zsc", "pa", "rank")[2], row = c("mean1", "max1", "min0",
  "ssq1", "range01", "zsc", "pa", "rank")[1])

Arguments

x

Data matrix.

col

Character vector of column standardizations.

row

Character vector of row standardizations.

Details

The function offers following data matrix standardizations:

  • mean1 : scale to mean of 1.

  • max1 : scale to maximum of 1.

  • ssq1 : scale to sums of sqaures equal 1.

  • range01 : scale range to 0-1.

  • zsc : standardize to z-scores (mean=0, sd=1).

  • pa : scale to presence/absence scale (0/1).

  • rank : scale to rank order (1=lowest).

Standardizations are performed first on columns then on rows. "pa" applies to the whole matrix and can be specied using row or col.

Value

Returns the standardized matrix.

Author

Jari Oksanen – modified Glenn De'ath (Dec 03)

Note

Common transformations can be made with standard R functions.

Examples

data(spider)
spid.data <- scaler(spider, col = "max", row="mean1")