Plot a bar plot to visualize a project prioritization

Create a bar plot to visualize how likely features are to persist into the future under a solution to a project prioritization problem().

plot_feature_persistence(
  x,
  solution,
  n = 1,
  symbol_hjust = 0.007,
  return_data = FALSE
)

Arguments

x

project prioritization problem().

solution

base::data.frame() or tibble::tibble() table containing the solutions. Here, rows correspond to different solutions and columns correspond to different actions. Each column in the argument to solution should be named according to a different action in x. Cell values indicate if an action is funded in a given solution or not, and should be either zero or one. Arguments to solution can contain additional columns, and they will be ignored.

n

integer solution number to visualize. Since each row in the argument to solutions corresponds to a different solution, this argument should correspond to a row in the argument to solutions. Defaults to 1.

symbol_hjust

numeric horizontal adjustment parameter to manually align the asterisks and dashes in the plot. Defaults to 0.007. Increasing this parameter will shift the symbols further right. Please note that this parameter may require some tweaking to produce visually appealing publication quality plots.

return_data

logical should the underlying data used to create the plot be returned instead of the plot? Defaults to FALSE.

Value

A ggplot() object, or a tibble::tbl_df() object if return_data is TRUE.

Details

In this plot, each bar corresponds to a different feature. The length of each bar indicates the probability that a given feature will persist into the future, and the color of each bar indicates the weight for a given feature. Features that directly benefit from at least a single completely funded project with a non-zero cost are depicted with an asterisk symbol. Additionally, features that indirectly benefit from funded projects---because they are associated with partially funded projects that have non-zero costs and share actions with at least one completely funded project---are depicted with an open circle symbol.

Examples

# set seed for reproducibility
set.seed(500)

# load the ggplot2 R package to customize plots
library(ggplot2)

# load data
data(sim_projects, sim_features, sim_actions)

# build problem
p <- problem(sim_projects, sim_actions, sim_features,
             "name", "success", "name", "cost", "name") %>%
      add_max_richness_objective(budget = 400) %>%
      add_feature_weights("weight") %>%
      add_binary_decisions() %>%
      add_heuristic_solver(n = 10)

# \dontrun{
# solve problem
s <- solve(p)

# plot the first solution
plot(p, s)


# plot the second solution
plot(p, s, n = 2)


# since this function returns a ggplot2 plot object, we can customize the
# appearance of the plot using standard ggplot2 commands!
# for example, we can add a title
plot(p, s) + ggtitle("solution")


# we can also obtain the raw plotting data using return_data=TRUE
plot_data <- plot(p, s, return_data = TRUE)
print(plot_data)
#> # A tibble: 5 × 4
#>   name    prob weight status
#>   <fct>  <dbl>  <dbl> <fct> 
#> 1 F5    0.592   1.59  Funded
#> 2 F4    0.688   0.630 Funded
#> 3 F3    0.0865  0.221 NA    
#> 4 F2    0.865   0.211 Funded
#> 5 F1    0.808   0.211 Funded
# }