View source: R/plotting_functions.R
plot_er_distributions | R Documentation |
This function plots the expected ranks of all proposals together with their xy
plot_er_distributions(
get_mcmc_samples_result,
n_proposals,
name_er_or_theta = "rank_theta",
er = TRUE,
title = NULL,
names_proposals = NULL,
inner_credible = 0.5,
outer_credible = 0.9,
ylab = "Expected Ranks",
number_fundable = NULL,
outer_show = TRUE,
size_pt = 1.75,
size_outer = 0.5,
size_inner = 2,
alpha_inner = 0.5,
alpha_outer = 1,
proposal = "Proposal ",
use_outer_inner = "inner",
change_random_selection_to = NULL,
change_rejected_to = NULL,
change_accepted_to = NULL
)
get_mcmc_samples_result |
the mcmc samples |
n_proposals |
number of proposals in the panel / call |
name_er_or_theta |
the name of the parameter estimating the ranks (or the proposal effect) in the Bayesian Hierarchical model (default = "rank_thetta") |
er |
if TRUE then, the ER are plotted, otherwise the thetas (the proposal effects) are plotted. (default = TRUE) |
title |
title of the plot (default = NULL, no title). |
names_proposals |
names of the proposals to be written on the x-axis ticks. Note that the ordering has to be the same as the one they are given to the 'get_mcmc_samples()' function (default = NULL, they are simply numerated). |
inner_credible |
percentage of the inner credible interval (default = .5) |
outer_credible |
percentage of the outer credible interval (default = .9) |
ylab |
The y axis label (default = "Expected Ranks") (default = NULL, no FL drawn). |
number_fundable |
number of proposals that can be funded |
outer_show |
should the outer credible interval be shown (default = TRUE) |
size_pt |
the size of the point estimate (mean, ER) (default = 1.5) |
size_outer |
the size of the line representing the outer CrI (default = .5) |
size_inner |
the size of the line representing the inner CrI (default = 2) |
alpha_inner |
alpha for the color of the inner CrI |
alpha_outer |
alpha for the color of the inner CrI |
proposal |
Word written infront of number (default = "Proposal") |
use_outer_inner |
should the inner or outer CRI be used for funding decisions (default = "inner") |
change_random_selection_to |
Should the "random selection" group be called something else; f.ex "tie group" (default = NULL) |
change_rejected_to |
Should the "rejected" group be called something else (default = NULL) |
change_accepted_to |
Should the "accepted" group be called something else (default = NULL) |
the result is a plot of the expected rank together with their credible intervals
data_panel1 <- get_mock_data() %>%
filter(panel == "p1")
## Not run:
mcmc_samples <- get_mcmc_samples(data = data_panel1,
id_proposal = "proposal",
id_assessor = "assessor",
grade_variable = "num_grade",
max_iter = 10000)
plot_er_distributions(mcmc_samples,
n_proposals = data_panel1 %>%
summarise(n = n_distinct(proposal)) %>%
pull(),
number_fundable = 5)
## End(Not run)
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