Evaluates a list of (mixed) partial derivatives

Evaluates a list of (mixed) partial derivatives

Usage

evalDtensor(x, mu, m=1)

Arguments

x

unevaluated (list) of expression(s)

mu

values at which the derivatives are evaluated: names need to match terms in x

m

order of derivative

Value

tensor

Author

Jarrod Hadfield j.hadfield@ed.ac.uk

See also

Dtensor, D

Examples

f<-expression(beta_1 + time*beta_2+u)
Df<-Dtensor(f, eval=FALSE, m=2)
evalDtensor(Df, mu=data.frame(beta_1=0.5, beta_2=1, time=3, u=2.3))
#>  [1] 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0
#> attr(,"class")
#> [1] "tensor"
Dtensor(f, mu=c(1,3,1,2.3), m=2)
#>       I2
#> I1     [,1] [,2] [,3] [,4]
#>   [1,]    0    0    0    0
#>   [2,]    0    0    1    0
#>   [3,]    0    1    0    0
#>   [4,]    0    0    0    0
#> attr(,"class")
#> [1] "tensor" "matrix"