## Microbenchmarking
library(crayon)
source("./.dev/helpers-microbenchmark.R")
## Context (should match testthat context)
context <- "utils"
# Boolean to decide if we overwrite old results. Overwrite before
# merging new feature. Will get overwritten by allOverwrite if running
# from microbenchmark-all.R
overwrite <- F
if (exists("allOverwrite")) {
overwrite <- allOverwrite
}
# Prepare dt
results_dt <- data.table()
# Load in allResults dt
allResults <- readRDS(file = "./.dev/benchmarks.rds")
## Test 1
name <- "smoothedMean"
# Prep
dt <- data.table::data.table(x = c(1, 5, 2, 3, 4), y = 1:5)
# Benchmark
results <- microbenchmark::microbenchmark(
smoothedMean(dt, 'loess'),
unit = 'ms'
) %>% summary()
# Print diff from saved result
previousResult <- allResults[benchmarkContext == context & benchmarkName == name]
compareToPrevious(results, previousResult, context, name)
results_dt <- rbind(results_dt, cbind('benchmarkContext'=context, 'benchmarkName'=name, results))
## Test 2
name <- "epitabToDT"
# Prep
m <- epitools::epitab(as.factor(rnorm(10)), as.factor(rep(c(1,2),5)))$tab
# Benchmark
results <- microbenchmark::microbenchmark(
epitabToDT(m, 'oddsratio'),
unit = 'ms'
) %>% summary()
# Print diff from saved result
previousResult <- allResults[benchmarkContext == context & benchmarkName == name]
compareToPrevious(results, previousResult, context, name)
results_dt <- rbind(results_dt, cbind('benchmarkContext'=context, 'benchmarkName'=name, results))
## Test 3
name <- "relativeRisk"
# Prep
data <- data.table('x' = as.factor(rnorm(10)), 'y' = as.factor(rep(c(1,2),5)))
# Benchmark
results <- microbenchmark::microbenchmark(
relativeRisk(data),
unit = 'ms'
) %>% summary()
# Print diff from saved result
previousResult <- allResults[benchmarkContext == context & benchmarkName == name]
compareToPrevious(results, previousResult, context, name)
results_dt <- rbind(results_dt, cbind('benchmarkContext'=context, 'benchmarkName'=name, results))
## Test 4
name <- "oddsRatio"
# Prep
data <- data.table('x' = as.factor(rnorm(10)), 'y' = as.factor(rep(c(1,2),5)))
# Benchmark
results <- microbenchmark::microbenchmark(
oddsRatio(data),
unit = 'ms'
) %>% summary()
# Print diff from saved result
previousResult <- allResults[benchmarkContext == context & benchmarkName == name]
compareToPrevious(results, previousResult, context, name)
results_dt <- rbind(results_dt, cbind('benchmarkContext'=context, 'benchmarkName'=name, results))
## Test 5
name <- "getAggStr"
# Prep
# Benchmark
results <- microbenchmark::microbenchmark(
getAggStr(c('x','y'), c('group','panel')),
unit = 'ms'
) %>% summary()
# Print diff from saved result
previousResult <- allResults[benchmarkContext == context & benchmarkName == name]
compareToPrevious(results, previousResult, context, name)
results_dt <- rbind(results_dt, cbind('benchmarkContext'=context, 'benchmarkName'=name, results))
## Test 6
name <- "makePanels"
# Prep
# Benchmark
results <- microbenchmark::microbenchmark(
panels <- makePanels(data, 'group', 'panel'),
unit = 'ms'
) %>% summary()
# Print diff from saved result
previousResult <- allResults[benchmarkContext == context & benchmarkName == name]
compareToPrevious(results, previousResult, context, name)
results_dt <- rbind(results_dt, cbind('benchmarkContext'=context, 'benchmarkName'=name, results))
## Test 7
name <- "contingencyDT"
# Prep
# Benchmark
results <- microbenchmark::microbenchmark(
panels <- contingencyDT(data.binned),
unit = 'ms'
) %>% summary()
# Print diff from saved result
previousResult <- allResults[benchmarkContext == context & benchmarkName == name]
compareToPrevious(results, previousResult, context, name)
results_dt <- rbind(results_dt, cbind('benchmarkContext'=context, 'benchmarkName'=name, results))
## Updating logged results
# If overwrite == T, replace saved times
if (overwrite) {
cat(magenta("Overwriting previously saved benchmark times... \n \n"))
# Remove all data from current context
allResults <- allResults[benchmarkContext != context]
# Add new results and save
allResults <- rbind(allResults,results_dt)
saveRDS(allResults, "./.dev/benchmarks.rds")
}
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