Factor with numeric interpretable levels.
Create a factor with numeric interpretable factor levels.
numFactor(x, ...) parseNumLevels(levels)
x |
Vector, matrix or data.frame that constitute the coordinates. |
... |
Additional vectors, matrices or data.frames that constitute the coordinates. |
levels |
Character vector to parse into numeric values. |
Some glmmTMB covariance structures require extra
information, such as temporal or spatial
coordinates. numFactor allows to associate such extra
information as part of a factor via the factor levels. The
original numeric coordinates are recoverable without loss of
precision using the function parseNumLevels. Factor levels
are sorted coordinate wise from left to right: first coordinate is
fastest running.
Factor with specialized coding of levels.
## 1D example numFactor(sample(1:5,20,TRUE)) ## 2D example coords <- cbind( sample(1:5,20,TRUE), sample(1:5,20,TRUE) ) (f <- numFactor(coords)) parseNumLevels(levels(f)) ## Sorted ## Used as part of a model.matrix model.matrix( ~f ) ## parseNumLevels( colnames(model.matrix( ~f )) ) ## Error: 'Failed to parse numeric levels: (Intercept)' parseNumLevels( colnames(model.matrix( ~ f-1 )) )
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