Summary statistics

Usage

summary_stats(
  df,
  condition = NULL,
  group_vars = NULL,
  summary_vars = NULL,
  arr = NULL,
  digits = 3
)

Arguments

df: data frame
condition: filter condition, i.e. patient == "new"
group_vars: variables to group by, i.e. c(specialty, state, hcpcs, cost)
summary_vars: variables to summarise, i.e. c(min, max, mode, range)
arr: column to arrange data by, i.e. cost
digits: Number of digits to round to, default is 3

Value

A <tibble> with the summarized data

Examples

x <- dplyr::tibble(
   provider = sample(c("A", "B", "C"), size = 200, replace = TRUE),
   city = sample(c("ATL", "NYC"), size = 200, replace = TRUE),
   charges = sample(1000:2000, size = 200),
   payment = sample(1000:2000, size = 200))

summary_stats(
   x,
   condition    = city == "ATL",
   group_vars   = provider,
   summary_vars = c(charges, payment),
   arr          = provider)
#> # A tibble: 3 × 8
#>   provider charges_median charges_mean charges_sd payment_median payment_mean
#>   <chr>             <dbl>        <dbl>      <dbl>          <dbl>        <dbl>
#> 1 C                 1488.        1480.       258.          1378.        1432.
#> 2 B                 1555         1535.       303.          1556         1517.
#> 3 A                 1645         1605.       256.          1574         1575.
#> # ℹ 2 more variables: payment_sd <dbl>, n <int>