Description Usage Arguments Value Author(s) See Also Examples
Uses random samples of an under or overdetermined linear problem to estimate the distribution of equations
Based on a random sample of x (e.g. produced with xsample
),
produces the corresponding set of "variables" consisting of linear
equations in the unknowns.
Var = EqA.x+EqB
1 
X 
matrix whose rows contain the sampled values of the unknowns

EqA 
numeric matrix containing the coefficients that define the variables. 
EqB 
numeric vector containing the righthand side of the variable equation. 
a matrix whose rows contain the sampled values of the variables.
Karline Soetaert <[email protected]>
Minkdiet
, for a description of the Mink diet example.
varranges
, to estimate ranges of inverse variables.
xsample
, to randomly sample the lsei problem.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22  # The probability distribution of vertebrate and invertebrate
# food in the diet of Mink
# food items of Mink are (in that order):
# fish mussels crabs shrimp rodents amphipods ducks
# V I I I V I V
# V= vertebrate, I = invertebrate
# In matrix form:
VarA < matrix(ncol = 7, byrow = TRUE, data = c(
0, 1, 1, 1, 0, 1, 0, # invertebrates
1, 0, 0, 0, 1, 0, 1)) # vertebrates
# first sample the Minkdiet problem
E < rbind(Minkdiet$Prey, rep(1, 7))
F < c(Minkdiet$Mink, 1)
X < xsample(E = E, F = F, G = diag(7), H = rep(0, 7), iter = 1000)$X
#then determine Diet Composition in terms of vertebrate and invertebrate food
DC < varsample(X = X, EqA = VarA)
hist(DC[,1], freq = FALSE, xlab = "fraction",
main = "invertebrate food in Mink diet", col = "lightblue")

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