| plotPolytope2D | R Documentation | 
Plot the polytope (bounded convex set) of a linear mathematical program
plotPolytope2D(
  A,
  b,
  obj = NULL,
  type = rep("c", ncol(A)),
  nonneg = rep(TRUE, ncol(A)),
  crit = "max",
  faces = rep("c", ncol(A)),
  plotFaces = TRUE,
  plotFeasible = TRUE,
  plotOptimum = FALSE,
  latex = FALSE,
  labels = NULL,
  ...
)
A | 
 The constraint matrix.  | 
b | 
 Right hand side.  | 
obj | 
 A vector with objective coefficients.  | 
type | 
 A character vector of same length as number of variables. If
entry k is 'i' variable   | 
nonneg | 
 A boolean vector of same length as number of variables. If entry k is TRUE then variable k must be non-negative.  | 
crit | 
 Either max or min (only used if add the iso-profit line)  | 
faces | 
 A character vector of same length as number of variables. If
entry k is 'i' variable   | 
plotFaces | 
 If   | 
plotFeasible | 
 If   | 
plotOptimum | 
 Show the optimum corner solution point (if alternative solutions only one is shown) and add the iso-profit line.  | 
latex | 
 If   | 
labels | 
 If   | 
... | 
 Further arguments passed on the the  
  | 
A ggplot object.
In general use plotPolytope() instead of this function. The feasible region defined by the constraints must be bounded otherwise you may see
strange results.
Lars Relund lars@relund.dk
plotPolytope() for examples.
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