Descriptive statistics
Arguments
- revisions.view
mts object. Vertical or diagonal view of the
get_revisions()output- rounding
number of decimals to display
Examples
## Simulated data
df_long <- simulate_long(
n_period = 10L * 4L,
n_revision = 5L,
periodicity = 4L,
start_period = as.Date("2010-01-01")
)
## Create vintage and get descriptive statistics of revisions
vintages <- create_vintages(df_long, periodicity = 4)
revisions <- get_revisions(vintages, gap = 1)
descriptive_statistics(revisions[["diagonal_view"]], rounding = 1)
#> [Release[2]]-[Release[1]] [Release[3]]-[Release[2]]
#> N 19.0 18.0
#> mean revision -0.2 0.2
#> st.dev. 3.0 0.9
#> min -5.4 -1.8
#> q.10 -4.8 -0.9
#> median 0.6 0.1
#> q.90 3.1 1.4
#> max 4.3 1.8
#> % positive 0.5 0.6
#> % zero 0.0 0.0
#> % negative 0.5 0.4
#> mean absolute revision 2.4 0.7
#> root mean square revision 2.9 0.9
#> [Release[4]]-[Release[3]] [Release[5]]-[Release[4]]
#> N 15.0 8.0
#> mean revision -0.2 0.1
#> st.dev. 0.6 0.3
#> min -1.4 -0.2
#> q.10 -1.0 -0.2
#> median -0.1 0.0
#> q.90 0.3 0.4
#> max 0.5 0.6
#> % positive 0.5 0.4
#> % zero 0.0 0.0
#> % negative 0.5 0.6
#> mean absolute revision 0.4 0.2
#> root mean square revision 0.6 0.3