r-benchmarking

R benchmarking, profiling, and performance analysis with reproducibility and measurement rigor. Use when timing R code execution, profiling with Rprof or profvis, measuring memory allocations, comparing function performance, or optimizing bottlenecks—e.g., "benchmark R function", "profvis profiling", "microbenchmark comparison", "performance analysis", "memory profiling".

1.54x

Quality

92%

Does it follow best practices?

Impact

88%

1.54x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

Evaluation results

92%

57%

Rolling Statistics Performance Comparison

bench::mark microbenchmark with GC and equivalence

Criteria

Without context

With context

Uses bench::mark

100%

Multiple iterations

62%

100%

Result equivalence check

50%

100%

GC filtering addressed

20%

100%

mem_alloc column interpreted

100%

itr/sec or gc/sec interpreted

100%

GC pitfall called out

50%

100%

Tool choice rationale

100%

Relative comparison

Fixed inputs / reproducibility

100%

No I/O in benchmark

100%

82%

-13%

Locate Performance Bottleneck in Data Processing Pipeline

Rprof and profvis profiling workflow

Criteria

Without context

With context

Rprof used

100%

interval = 0.01

100%

event = 'cpu'

100%

summaryRprof called

100%

by.self / by.total explained

100%

profvis used

100%

Elapsed vs CPU pitfall

100%

Sampling interval caveat

100%

Tool choice rationale

62%

50%

Profiling goal stated

71%

No overly small interval

100%

90%

49%

Scalability Benchmark for String Processing Alternatives

bench::press parameter grid with reproducibility

Criteria

Without context

With context

bench::press used

100%

Parameter grid defined

100%

set.seed called

100%

Platform/version recorded

100%

Relative comparison

Distribution over single value

100%

bench::mark inside press

100%

check = TRUE or equivalence noted

100%

No I/O in benchmark expressions

100%

No single-run comparisons

100%

GC or memory noted

100%

Repository: jjjermiah/dotagents
Commit: b74de5e

Evaluated: about 1 month ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Rolling Statistics Performance Comparison Locate Performance Bottleneck in Data Processing Pipeline Scalability Benchmark for String Processing Alternatives

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