Description Usage Arguments Value Examples
View source: R/partition_div.R
partition_div
calculates the diversity of cases that belong to the same
partition of the clustered data (a time series; a cross section; etc.).
Diversity is measured by the number of truth table rows that the cases of
a partition cover. partition_div
calculates the partition diversity
for all truth table rows and for the subsets of consistent and
inconsistent rows.
1 | partition_div(dataset, units, time, cond, out, n_cut, incl_cut)
|
dataset |
Calibrated pooled dataset that is partitioned and minimized for deriving the pooled solution. |
units |
Units defining the within-dimension of data (time series) |
time |
Periods defining the between-dimension of data (cross sections) |
cond |
Conditions used for the pooled analysis |
out |
Outcome used for the pooled analysis |
n_cut |
Frequency cut-off for designating truth table rows as observed in the pooled data |
incl_cut |
Inclusion cut-off for designating truth table rows as consistent in the pooled data |
A dataframe presenting the diversity of cases belonging to the same partition with the following columns:
type
: The type of the partition. pooled
are
rows with information on the pooled data; between
is for
cross-section partitions; within
is for time-series partitions.
partition
: Specific dimension of the partition at hand. For
between-dimension, the unit identifiers are included here
(argument units
). For the within-dimension, the time identifier
are listed (argument time
). The entry is -
for the
pooled data without partitions.
diversity
: Count of all truth table rows with at least one member
belonging to a partition.
diversity_1
: Count of consistent truth table rows with at least
one member belonging to a partition.
diversity_0
: Count of inconsistent truth table rows with at least
one member belonging to a partition.
diversity_per
: Ratio of the value for diversity
and the
total number of truth table rows from pooled data
(diversity
value for pooled data).
diversity_per_1
: Ratio of the value for diversity_1
and the
total number of consistent truth table rows from pooled data
(diversity_1
value for pooled data).
diversity_per_0
: Ratio of the value for diversity_0
and the
total number of inconsistent truth table rows from pooled data
(diversity_0
value for pooled data).
1 2 3 4 5 | data(Schwarz2016)
Schwarz_diversity <- partition_div(Schwarz2016,
units = "country", time = "year",
cond = c("poltrans", "ecotrans", "reform", "conflict", "attention"),
out = "enlarge", 1, 0.8)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.