Shows call count, total time, self time, and time per call for each function. This is especially useful for identifying functions that are called many times (where per-call optimization or reducing call count would help).
Value
A data frame with columns:
label: Function namecalls: Estimated number of calls (based on stack appearances)total_ms: Total time on call stackself_ms: Time at top of stack (self time)child_ms: Time in calleesms_per_call: Average milliseconds per callpct: Percentage of total profile time
Examples
p <- pv_example()
pv_call_stats(p)
#> label calls total_ms self_ms child_ms ms_per_call
#> 1 process_data 1 70 0 70 70.0
#> 2 generate_data 2 65 15 50 32.5
#> 3 rnorm 4 30 30 0 7.5
#> 4 x[i] <- rnorm(1) 4 20 20 0 5.0
#> 5 result[i] <- sqrt(abs(x[i])) * 2 1 5 5 0 5.0
#> 6 transform_data 1 5 0 5 5.0
#> pct
#> 1 100.0
#> 2 92.9
#> 3 42.9
#> 4 28.6
#> 5 7.1
#> 6 7.1
