Introduction | Propagation of uncertainty | Taylor series method | Monte Carlo method | Reporting uncertainty | Related work | Automated uncertainty handling in R: the errors package | Package description and usage | Example: Simultaneous resistance and reactance measurement | Example: Calibration of a thermometer | Discussion | Summary and future work
Package: errors 0.4.4.3
Iñaki Ucar
errors: Uncertainty Propagation for R Vectors
Support for measurement errors in R vectors, matrices and arrays: automatic uncertainty propagation and reporting. Documentation about 'errors' is provided in the paper by Ucar, Pebesma & Azcorra (2018, <doi:10.32614/RJ-2018-075>), included in this package as a vignette; see 'citation("errors")' for details.
Authors:
errors_0.4.4.3.tar.gz
errors_0.4.4.3.zip(r-4.7)errors_0.4.4.3.zip(r-4.6)errors_0.4.4.3.zip(r-4.5)
errors_0.4.4.3.tgz(r-4.6-any)errors_0.4.4.3.tgz(r-4.5-any)
errors_0.4.4.3.tar.gz(r-4.7-any)errors_0.4.4.3.tar.gz(r-4.6-any)
errors_0.4.4.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
errors/json (API)
| # Install 'errors' in R: |
| install.packages('errors', repos = c('https://r-quantities.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/r-quantities/errors/issues
Pkgdown/docs site:https://r-quantities.github.io
Datasets:
Last updated from:6734e24426. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 134 | ||
| source / vignettes | OK | 169 | ||
| linux-release-x86_64 | OK | 120 | ||
| macos-release-arm64 | OK | 167 | ||
| macos-oldrel-arm64 | OK | 155 | ||
| windows-devel | OK | 91 | ||
| windows-release | OK | 71 | ||
| windows-oldrel | OK | 74 | ||
| wasm-release | OK | 96 |
Exports:as.errorscorrelcorrel<-covarcovar<-drop_errorserrorserrors_maxerrors_minerrors<-geom_errorsscale_alpha_errorsscale_color_errorsscale_colour_errorsscale_fill_errorsscale_linewidth_errorsscale_radius_errorsscale_size_area_errorsscale_size_errorsscale_x_errorsscale_y_errorsset_correlset_covarset_errors
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| 'errors': Uncertainty Propagation for R Vectors | errors-package |
| Coerce to a Data Frame | as.data.frame.errors |
| Coerce to a List | as.list.errors |
| Coerce to a Matrix | as.matrix.errors |
| Combine Values into a Vector or List | c.errors |
| Combine R Objects by Rows or Columns | cbind.errors rbind.errors |
| Handle Correlations Between 'errors' Objects | correl correl<- covar covar<- set_correl set_covar |
| Datasets from the Guide to the Expression of Uncertainty in Measurement (GUM) | datasets GUM.H.2 GUM.H.3 |
| Lagged Differences | diff.errors |
| Drop Uncertainty | drop_errors drop_errors.data.frame |
| Handle Uncertainty on a Numeric Vector | as.errors errors errors<- errors_max errors_min set_errors |
| Extract or Replace Parts of an Object | Extract.errors [.errors [<-.errors [[.errors [[<-.errors |
| Encode 'errors' | format.errors |
| Errorbars for 'errors' objects | geom_errors |
| S3 Group Generic Functions | groupGeneric.errors Math.errors Ops.errors Summary.errors |
| Arithmetic Mean and Median Value | mean.errors median.errors weighted.mean.errors |
| Scatterplot with Error Bars | plot.errors |
| Print Values | print.errors |
| Replicate Elements of Vectors and Lists | rep.errors |
| Continuous scales for 'errors' objects | scale_alpha_errors scale_color_errors scale_colour_errors scale_fill_errors scale_linewidth_errors scale_radius_errors scale_size_area_errors scale_size_errors scale_x_errors scale_y_errors |
| Matrix Transpose | t.errors |
