Package: rADA 1.1.9
Emma Gail
rADA: Statistical Analysis and Cut-Point Determination of Immunoassays
Systematically transform immunoassay data, evaluate if the data is normally distributed, and pick the right method for cut point determination based on that evaluation. This package can also produce plots that are needed for reports, so data analysis and visualization can be done easily.
Authors:
rADA_1.1.9.tar.gz
rADA_1.1.9.tar.gz(r-4.5-noble)rADA_1.1.9.tar.gz(r-4.4-noble)
rADA_1.1.9.tgz(r-4.4-emscripten)rADA_1.1.9.tgz(r-4.3-emscripten)
rADA.pdf |rADA.html✨
rADA/json (API)
| # Install 'rADA' in R: |
| install.packages('rADA', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- lognormAssay - Simulated Lognormal Dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:10b8e8e44f. Checks:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 13 2024 |
| R-4.5-linux | NOTE | Sep 13 2024 |
Exports:assayMeltcalcCvStatscalcScpValuesevalBoxplotevalNormexcludeOutliersimportAssaymixedModelscpscpForestPlot
Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDatacheckmateclasscliclustercolorspacecowplotcpp11data.tableDerivdigestdoBydplyre1071evaluatefansifarverfastmapfontawesomeforeignforestplotFormulafsgenericsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclelme4lmerTestmagrittrMASSMatrixMatrixModelsmatrixStatsmemoisemgcvmicrobenchmarkmimeminqamodelrmunsellnlmenloptrnnetnumDerivopenxlsxpbkrtestpillarpkgconfigplyrproxypurrrquantregR6rappdirsRColorBrewerRcppRcppEigenreshape2rlangrmarkdownrpartrstudioapisassscalesSparseMstringistringrsurvivaltibbletidyrtidyselecttinytexutf8vctrsviridisviridisLitewithrxfunyamlzip
Screening Cut Point Determination with rADA
Rendered fromrada_vignette.Rmdusingknitr::knitron Sep 13 2024.Last update: 2021-03-23
Started: 2021-03-23
Screening Cut Point Determination with rADA
Rendered fromrada_vignette_supplemental.Rmdusingknitr::knitron Sep 13 2024.Last update: 2021-03-23
Started: 2021-03-23
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Melt Assay Dataset | assayMelt |
| Calculate Coefficient of Variation | calcCvStats calcCvStats,ImmunoAssay-method |
| Calculate screening cut point values for scp() | calcScpValues |
| Evaluate the Assays with Boxplots | evalBoxplot evalBoxplot,ImmunoAssay-method |
| Normality Evaluation | evalNorm evalNorm,ImmunoAssay-method |
| Exclude Outliers from Melted Assay Dataframe | excludeOutliers |
| Define ImmunoAssay class | ImmunoAssay ImmunoAssay-class |
| Import assay as ImmunoAssay object | importAssay |
| Simulated Lognormal Dataset | lognormAssay |
| Mixed model wrapper for assay dataframe | mixedModel |
| Calculate screening cut point | scp scp,ImmunoAssay-method |
| Generate forest plot of SCP values | scpForestPlot scpForestPlot,ImmunoAssay-method |