# data.matrix

0th

Percentile

##### Convert a Data Frame to a Numeric Matrix

Return the matrix obtained by converting all the variables in a data frame to numeric mode and then binding them together as the columns of a matrix. Factors and ordered factors are replaced by their internal codes.

Keywords
array
##### Usage
data.matrix(frame, rownames.force = NA)
##### Arguments
frame

a data frame whose components are logical vectors, factors or numeric vectors.

rownames.force

logical indicating if the resulting matrix should have character (rather than NULL) rownames. The default, NA, uses NULL rownames if the data frame has ‘automatic’ row.names or for a zero-row data frame.

##### Details

Logical and factor columns are converted to integers. Any other column which is not numeric (according to is.numeric) is converted by as.numeric or, for S4 objects, as(, "numeric"). If all columns are integer (after conversion) the result is an integer matrix, otherwise a numeric (double) matrix.

##### Value

If frame inherits from class "data.frame", an integer or numeric matrix of the same dimensions as frame, with dimnames taken from the row.names (or NULL, depending on rownames.force) and names.

Otherwise, the result of as.matrix.

##### Note

The default behaviour for data frames differs from R < 2.5.0 which always gave the result character rownames.

##### References

Chambers, J. M. (1992) Data for models. Chapter 3 of Statistical Models in S eds J. M. Chambers and T. J. Hastie, Wadsworth & Brooks/Cole.

as.matrix, data.frame, matrix.
library(base) # NOT RUN { DF <- data.frame(a = 1:3, b = letters[10:12], c = seq(as.Date("2004-01-01"), by = "week", len = 3), stringsAsFactors = TRUE) data.matrix(DF[1:2]) data.matrix(DF) # }