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 29.0 13.0
#> mean revision -0.1 -0.3
#> st.dev. 2.6 1.1
#> min -5.5 -2.9
#> q.10 -3.4 -1.3
#> median -0.4 -0.3
#> q.90 3.7 1.0
#> max 4.9 1.2
#> % positive 0.4 0.3
#> % zero 0.0 0.0
#> % negative 0.6 0.7
#> mean absolute revision 2.0 0.9
#> root mean square revision 2.6 1.1
#> [Release[4]]-[Release[3]] [Release[5]]-[Release[4]]
#> N 6.0 4.0
#> mean revision 0.0 0.1
#> st.dev. 0.8 0.2
#> min -0.9 -0.1
#> q.10 -0.9 -0.1
#> median 0.2 0.0
#> q.90 0.8 0.2
#> max 1.0 0.3
#> % positive 0.7 0.5
#> % zero 0.0 0.0
#> % negative 0.3 0.5
#> mean absolute revision 0.6 0.1
#> root mean square revision 0.7 0.1