Nothing
Code
clarke_wright(c(1, NA, 3), distances, unlimited)
Condition
Error in `clarke_wright()`:
! `demand` must not contain missing or infinite values.
x `demand[2]` is NA.
Code
clarke_wright(c(1, 2, Inf), distances, unlimited)
Condition
Error in `clarke_wright()`:
! `demand` must not contain missing or infinite values.
x `demand[3]` is Inf.
Code
clarke_wright(1:3, as.dist(missing_distance), unlimited)
Condition
Error in `clarke_wright()`:
! `distances` must not contain missing or infinite values.
x The distance between locations "2" and "4" is NA.
Code
clarke_wright(1:3, distances, data.frame(n = integer(), caps = numeric()))
Condition
Error in `clarke_wright()`:
! `vehicles` must have at least one row.
Code
clarke_wright(1:3, distances, data.frame(n = c(NA, -2L), caps = 6))
Condition
Error in `clarke_wright()`:
! `vehicles$n` must not be negative.
x `vehicles$n[2]` is -2.
i Use `NA` for an unlimited number of vehicles.
Code
clarke_wright(1:3, distances, data.frame(n = NA, caps = c(6, 0)))
Condition
Error in `clarke_wright()`:
! `vehicles$caps` must be positive and finite.
x `vehicles$caps[2]` is 0.
Code
clarke_wright(1:3, distances, data.frame(n = NA, caps = NA))
Condition
Error in `clarke_wright()`:
! `vehicles$caps` must be positive and finite.
x `vehicles$caps[1]` is NA.
Code
clarke_wright(1:3, distances, unlimited, data.frame(vehicle = 0, site = c(0, 3)))
Condition
Error in `clarke_wright()`:
! `restrictions$site` must refer to sites of `demand`.
x `restrictions$site[2]` is 3.
i Sites are numbered from 0 to 2, in the order of `demand`.
Code
clarke_wright(1:3, distances, unlimited, data.frame(vehicle = 1, site = 0))
Condition
Error in `clarke_wright()`:
! `restrictions$vehicle` must refer to rows of `vehicles`.
x `restrictions$vehicle[1]` is 1.
i The only vehicle type is 0.
Code
clarke_wright(c(15, 3, 1), distances, data.frame(n = 2L, caps = 6))
Condition
Error in `clarke_wright()`:
! Not enough vehicles available to start with one run per site.
x Ran out of vehicles at site 0 (`demand[1]`).
i The solver merges runs only afterwards, so it can need more vehicles at the start than in the final solution.
i A vehicle type with an unlimited number (`n = NA`) and without restrictions avoids this.
Code
clarke_wright("a", distances, unlimited)
Condition
Error in `clarke_wright()`:
! `demand` must be a numeric vector, not a string.
Code
clarke_wright(1:3, as.matrix(distances), unlimited)
Condition
Error in `clarke_wright()`:
! `distances` must be a <dist> object, not a double matrix.
i Create one with `stats::dist()` or `stats::as.dist()`.
Code
clarke_wright(1:2, distances, unlimited)
Condition
Error in `clarke_wright()`:
! `distances` must describe 3 locations: the depot and the 2 sites of `demand`.
x It describes 4 locations.
Code
clarke_wright(1:3, distances, list(n = NA, caps = 6))
Condition
Error in `clarke_wright()`:
! `vehicles` must be a data frame, not a list.
Code
clarke_wright(1:3, distances, data.frame(caps = 6))
Condition
Error in `clarke_wright()`:
! `vehicles` must have the columns `n` and `caps`.
x Column `n` is missing.
Code
clarke_wright(1:3, distances, data.frame(n = NA, caps = "6"))
Condition
Error in `clarke_wright()`:
! `vehicles$caps` must be numeric, not a string.
Code
clarke_wright(1:3, distances, data.frame(n = 1.5, caps = 6))
Condition
Error in `clarke_wright()`:
! `vehicles$n` must contain whole numbers.
x `vehicles$n[1]` is 1.5.
Code
clarke_wright(1:3, distances, unlimited, data.frame(site = 0))
Condition
Error in `clarke_wright()`:
! `restrictions` must have the columns `vehicle` and `site`.
x Column `vehicle` is missing.
Code
clarke_wright(1:3, distances, unlimited, data.frame(site = "a", vehicle = 0))
Condition
Error in `clarke_wright()`:
! `restrictions$site` must contain whole numbers, not a string.
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.