GitHub - FinYang/lazybar: Progress Bar with Remaining Time Forecast Method (original) (raw)

lazybar

The R package lazybar provides progress bar showing estimated remaining time. Multiple forecast methods and user defined forecast method for the remaining time are supported.

Installation

You can install the development version fromGithub with:

install.packages("devtools")

devtools::install_github("FinYang/lazybar")

Usage

pb <- lazyProgressBar(4) pb$tick() pb$tick() pb$tick() pb$tick()

With linearly increasing run time

pb <- lazyProgressBar(4, method = "drift") for(i in 1:4){ Sys.sleep(i * 0.2) pb$tick()$print() }

With user defined forecast function

The forecast function itself will

require certain computational power

forecast_fn <- function(dtime, i, n, s = 10){

When the number of ticks is smaller than s

Estimate the future run time

as the average of the past

if(i<s){ eta <- mean(dtime)*(n-i) }

When the number of ticks is larger than s

Fit an arima model every s ticks

using forecast package

if(i>=s){ if(i %% s ==0){ model <- forecast::auto.arima(dtime) } runtime <- forecast::forecast(model, h=n-i)$mean if(i %% s !=0){ runtime <- runtime[-seq_len(i %% s)] } eta <- sum(runtime) } return(eta) }

pb <- lazyProgressBar(10, fn = forecast_fn, s=3) for(i in 1:10){ Sys.sleep(i * 0.2) pb$tick()$print() }

License

This package is free and open source software, licensed under GPL-3.