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A set of functions for tracking the hidden movement of ‘Jack’ in the board game Letters from Whitechapel by Fantasy Flight Games
There are many reasons you may want to install this package.
#Install the latest version from GitHub
#devtools::install_github("bmewing/whitechapelR")
This package contains a number of functions which, when used together, allow you to map out all the possible places where Jack might be and narrow your field of search.
Each round you must indicated where the first murder occurred. This
is done with the start_round()
function which takes as it’s
only argument the space(s) of the murder. The result needs to be
peserved.
= start_round(64) paths
As Jack moves, you’ll need to monitor where he might possibly be.
There are two functions which help with this, take_a_step
and take_a_carriage
(which is a wrapper for
take_a_step
). Taking a step requires that we provide the
list of all possible paths taken up to this point and which graph Jack
is currently using. By default, he uses the roads
graph but
when using a lantern he uses the alley
graph. These are
both included in the package by default.
#if taking a normal step
= take_a_step(paths,roads)
paths
#if taking a latern special movement
# paths = take_a_step(paths,alley)
Additionally, you may specify via a list of blocked nodes where Jack cannot move due to being blocked by a policeman. Note, policemen cannot block alley movement but this is not hardcoded into the function, so you could possibly mess up your information at this point.
#if policemen are blocking the road between 50 and 31 as well as between 30 and 13
# paths = take_a_step(paths,roads,list(c(50,31),c(30,13)))
Taking a carriage can only be over roads and is never blocked by policemen so it is a simple wrapper for taking two steps with the added functionality of following the rule where Jack cannot end his movement on the space where he began it.
# paths = take_a_carriage(paths)
As a policeman searching for clues, you want to be able to modify
possible paths based on the evidence you aquire. This is done with the
inspect_space
function. It requires the list of all
possible paths, the space(s) inspected and a boolean indicating what was
found. Because of the exhaustive nature of the methods here, not finding
anything can still be incredibly informative.
#if no clue was found
= inspect_space(paths,c(50,30),FALSE)
paths = inspect_space(paths,64,TRUE) paths
It should be pointed out that the algorithms assume you never make mistakes. Finding a clue simply eliminates all paths which do not contain that number. If you input a space which Jack could never have visited and indicate you found a clue there, the path set will be reduced to 0 and you’ll have no information from which to work. There is no undo function here.
Once Jack has (irritatingly) successfully made it their hideout, you
want to track which spaces are candidates and improve that information
over time. This is done with the end_round
function. By
storing the endpoints of all possible paths in a variable (say
hideouts
), future rounds can use the intersection of these
endpoints and previous information to, hopefully, reduce the possible
spaces to a manageable number.
# at the end of the first round
= end_round(paths)
hideouts
# at the end of subsequent rounds
# hidouts = end_round(paths,hideouts)
The final utility to mention here is the show_board
funtion which produces an igraph representation of the game board with
the appropriately numbered nodes in their identical positions. Nodes are
colored based on the proportion of possible paths which flow through
them (key areas to focus on) and can also highlight where hideouts might
be.
show_board(paths,hideouts,roads,alley,node_locations)
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.