kingchenc
b7ef63400d
Adds an R binding (`bindings/r`) over the C ABI hub — the third language stecker after C# and Go, reaching the hub through R's native `.Call` interface (not extendr). ## What's here - **`bindings/r`** — an R package exposing all 514 indicators as constructors that return a `wickra_indicator` object with generic `update`/`batch`/`reset` methods. The C glue (`src/wickra.c`) and R wrappers (`R/indicators.R`) are generated from `bindings/c/include/wickra.h` (same archetype taxonomy as the C#/Go generators: scalar/batch, multi-output, bars, profile, profile-values, array-input). The opaque handle is an R external pointer freed by a registered finalizer; multi-output returns a named vector (`NA` at warmup), bars a matrix, profiles a list. - **`examples/r`** — the full example suite mirroring C/C#/Go: streaming, backtest, multi_timeframe, parallel_assets (`mclapply`), three strategies, and `fetch_btcusdt`/`live_binance`. - **CI** — an `r` job builds the C ABI library, installs the package, runs the `testthat` suite and the offline examples on Linux, macOS and Windows (`R CMD check` is clean: 0 warnings, 0 notes). - **Docs** — R added to the README languages table, project layout, building/testing, CONTRIBUTING binding table + regenerate note, ARCHITECTURE, examples index, issue/PR templates, the About-description template, and the other binding READMEs. ## Linking / distribution The package compiles a thin `.Call` glue layer against the prebuilt C ABI library (header via `WICKRA_INCLUDE_DIR`, library via `WICKRA_LIB_DIR`). On Windows the package's own `wickra.dll` would collide with the C ABI's `wickra.dll`, so `configure.win` stages a renamed copy (`wickra_abi.dll`) and builds an import library referencing it; `install.libs.R` bundles the DLL and `.onLoad` puts it on the load path. On Linux/macOS the rpath locates the shared library. No `release.yml` change — R is distributed via r-universe / source install (gated). No Rust crate or `Cargo.toml` change — the R package is standalone and additive.
24 lines
904 B
R
24 lines
904 B
R
# Resample a 1-minute series into higher timeframes and run an indicator per timeframe.
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library(wickra)
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source("_common.R")
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resample <- function(bars, factor) {
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if (factor <= 1) return(bars)
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idx <- seq(1, nrow(bars), by = factor)
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do.call(rbind, lapply(idx, function(i) {
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j <- min(i + factor - 1, nrow(bars))
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data.frame(open = bars$open[i], high = max(bars$high[i:j]),
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low = min(bars$low[i:j]), close = bars$close[j],
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volume = sum(bars$volume[i:j]), timestamp = bars$timestamp[i])
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}))
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}
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one_minute <- synthetic_candles(1200, step_ms = 60000)
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cat("EMA(20) of close across timeframes (resampled from 1-minute bars):\n")
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for (factor in c(1, 5, 15)) {
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bars <- resample(one_minute, factor)
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ema <- Ema(20); last <- NA_real_
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for (cl in bars$close) last <- update(ema, cl)
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cat(sprintf(" %2dm: %5d bars EMA(20) last = %.4f\n", factor, nrow(bars), last))
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}
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