Introduction | Application of DDHFm to cDNA data | Application of the basic DDHF algorithm | Appendix: The Data-Driven Haar-Fisz transform
Package: DDHFm 1.1.4
DDHFm: Variance Stabilization by Data-Driven Haar-Fisz (for Microarrays)
Contains the normalizing and variance stabilizing Data-Driven Haar-Fisz algorithm. Also contains related algorithms for simulating from certain microarray gene intensity models and evaluation of certain transformations. Contains cDNA and shipping credit flow data.
Authors:
DDHFm_1.1.4.tar.gz
DDHFm_1.1.4.zip(r-4.7-x86_64)DDHFm_1.1.4.zip(r-4.7-arm64)DDHFm_1.1.4.zip(r-4.6-x86_64)DDHFm_1.1.4.zip(r-4.6-arm64)DDHFm_1.1.4.zip(r-4.5-x86_64)
DDHFm_1.1.4.tgz(r-4.6-x86_64)DDHFm_1.1.4.tgz(r-4.6-arm64)DDHFm_1.1.4.tgz(r-4.5-x86_64)DDHFm_1.1.4.tgz(r-4.5-arm64)
DDHFm_1.1.4.tar.gz(r-4.7-arm64)DDHFm_1.1.4.tar.gz(r-4.7-x86_64)DDHFm_1.1.4.tar.gz(r-4.6-arm64)DDHFm_1.1.4.tar.gz(r-4.6-x86_64)
DDHFm_1.1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
DDHFm/json (API)
| # Install 'DDHFm' in R: |
| install.packages('DDHFm', repos = c('https://guynason.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- cdna - Example cDNA data
- ShipCreditFlow - Example Shipping credit flow data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:f2d222b5d6. Checks:15 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 75 | ||
| linux-devel-x86_64 | OK | 102 | ||
| source / vignettes | OK | 139 | ||
| linux-release-arm64 | OK | 68 | ||
| linux-release-x86_64 | OK | 86 | ||
| macos-release-arm64 | OK | 99 | ||
| macos-release-x86_64 | OK | 145 | ||
| macos-oldrel-arm64 | OK | 89 | ||
| macos-oldrel-x86_64 | OK | 162 | ||
| windows-devel-arm64 | OK | 201 | ||
| windows-devel-x86_64 | OK | 112 | ||
| windows-release-arm64 | OK | 191 | ||
| windows-release-x86_64 | OK | 74 | ||
| windows-oldrel-x86_64 | OK | 75 | ||
| wasm-release | OK | 74 |
Exports:cDNAdataDDHFmddhft.np.2ddhft.np.invdhhrcompdhhrssfunction.from.vectorgenesimulatorhftrialdatagenisotoneKURTOSISMOMENTSsimdurbinsimdurbin2SKEWwhich.min.diff
Dependencies:lokernMASSsfsmiscwavethresh
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Example cDNA data | cdna |
| Samples from the cDNA data vector | cDNAdata |
| Data-driven Haar-Fisz for microarrays | DDHFm |
| Data-Driven Haar-Fisz transformation | ddhft.np.2 |
| Inverse Data-Driven Haar-Fisz transformation | ddhft.np.inv |
| Simulated genes, apply DDHFm then compute and return variance, skewness and kurtosis values | dhhrcomp |
| Tabulates variance, skewness and kurtosis coefficients from the output of dhhrcomp | dhhrss |
| Function applied for the computation of the Data-Driven Haar-Fisz transform | function.from.vector |
| Gene means simulator | genesimulator |
| Gene intensities simulator and DDHFm tester | hftrialdatagen |
| Performs Isotone regression using "pool-adjacent-violators" algorithm | isotone |
| Kurtosis Coefficient estimator | KURTOSIS |
| Moment estimator | MOMENTS |
| Example Shipping credit flow data | ShipCreditFlow |
| Gene intensities simulator | simdurbin |
| Gene intensities simulator | simdurbin2 |
| Skewness coefficient estimator | SKEW |
| Find index where two vectors are closest | which.min.diff |