Package: EMAtools 0.1.6
EMAtools: Data Management Tools for Real-Time Monitoring/Ecological Momentary Assessment Data
Do data management functions common in real-time monitoring (also called: ecological momentary assessment, experience sampling, micro-longitudinal) data, including creating power curves for multilevel data, centering on participant means and merging event-level data into momentary data sets where you need the events to correspond to the nearest data point in the momentary data. For background on this data type see Shiffman, Stone and Hufford (2008) <doi:10.1146/annurev.clinpsy.3.022806.091415>, and on the centering methods see Enders and Tofighi (2007) <doi:10.1037/1082-989X.12.2.121>. This is VERY early release software, and more features will be added over time.
Authors:
EMAtools_0.1.6.tar.gz
EMAtools_0.1.6.tar.gz(r-4.7-any)EMAtools_0.1.6.tar.gz(r-4.6-any)
EMAtools_0.1.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
EMAtools/json (API)
NEWS
| # Install 'EMAtools' in R: |
| install.packages('EMAtools', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:652656b163. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 167 | ||
| source / vignettes | OK | 177 | ||
| linux-release-x86_64 | OK | 191 | ||
| wasm-release | OK | 116 |
Exports:ema.powercurveeventmergegcenterlm_slopes_comparelme.dscoreObsNumbspcenterpmean
Dependencies:anytimebayestestRBHbootclicpp11datawizardeffectsizefarverggplot2gluegtableinsightisobandlabelinglatticelifecyclelme4lmerTestMASSMatrixminqanlmenloptrnumDerivparametersperformanceplyrR6rbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangS7scalessjstatsvctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Create power curves for EMA data | ema.powercurve |
| Merge Mobile EMA (mEMA) event-level data into momentary data | eventmerge |
| Centering on grand-means | gcenter |
| Compare the slopes of two lme models | lm_slopes_compare |
| Calculate d scores from an lme4 or nlme object | lme.dscore |
| Create observation numbers in your data | ObsNumbs |
| Centering on person-means | pcenter |
| Centering on person-means | pmean |
