Introduction | Illustration of quantiles and box- and whisker plots | IQR | Mean Absolute Deviation | Huber-type Skipped Mean and SD | Five Number Summary | Seven Number Summary | Coefficient of Variation (CV) | Signal to Noise Ratio (SNR) | Standardized Mean Difference | z-Score | z-Factor | Box- and Whisker-Plot | Generalized Logarithm | Simulate Correlated Variables | Plot TSH, fT3 and fT4 Values | Generalized and Negative Logarithm as Transformations | Change Data from Wide to Long | sessionInfo | References
Package: MKdescr 1.0
MKdescr: Descriptive Statistics
Computation of standardized interquartile range (IQR), Huber-type skipped mean (Hampel (1985), <doi:10.2307/1268758>), robust coefficient of variation (CV) (Arachchige et al. (2020), <doi:10.1080/02664763.2020.1808599>), robust signal to noise ratio (SNR), z-score, standardized mean difference (SMD), z-factor (Zhang et al. (1999), <doi:10.1177/108705719900400206>) as well as functions that support graphical visualization such as boxplots based on quartiles (not hinges), negative logarithms and generalized logarithms for 'ggplot2' (Wickham (2016), ISBN:978-3-319-24277-4).
Authors:
MKdescr_1.0.tar.gz
MKdescr_1.0.zip(r-4.7)MKdescr_1.0.zip(r-4.6)MKdescr_1.0.zip(r-4.5)
MKdescr_1.0.tgz(r-4.6-any)MKdescr_1.0.tgz(r-4.5-any)
MKdescr_1.0.tar.gz(r-4.7-any)MKdescr_1.0.tar.gz(r-4.6-any)
MKdescr_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
MKdescr/json (API)
| # Install 'MKdescr' in R: |
| install.packages('MKdescr', repos = c('https://stamats.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/stamats/mkdescr/issues
Last updated from:3432dc156b. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 161 | ||
| source / vignettes | OK | 175 | ||
| linux-release-x86_64 | OK | 127 | ||
| macos-release-arm64 | OK | 135 | ||
| macos-oldrel-arm64 | OK | 91 | ||
| windows-devel | OK | 87 | ||
| windows-release | OK | 83 | ||
| windows-oldrel | OK | 88 | ||
| wasm-release | OK | 105 |
Exports:CVfiveNSglogglog10glog2illustrate.boxplotillustrate.quantileinv.gloginv.glog10inv.glog2IQrangeiqrCViqrSNRiqrZfactoriqrZscoremeanADmedCVmedSNRmedZfactormedZscoremelt.longqboxplotqbxp.statsscale_x_glogscale_x_glog10scale_x_glog2scale_x_logscale_x_log2scale_x_neglogscale_x_neglog10scale_x_neglog2scale_y_glogscale_y_glog10scale_y_glog2scale_y_logscale_y_log2scale_y_neglogscale_y_neglog10scale_y_neglog2sevenNSsimCorVarssIQRskippedMeanskippedSDSMDSNRthyroidzfactorzscore
Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecycleR6RColorBrewerrlangS7scalesvctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Descriptive Statistics. | MKdescr-package MKdescr |
| Compute CV | CV iqrCV medCV |
| Five-Number Summaries | fiveNS |
| Compute Generalized Logarithm | glog glog10 glog2 inv.glog inv.glog10 inv.glog2 |
| Illustrate Box-and-Whisker Plots | illustrate.boxplot |
| Illustrate Quantiles | illustrate.quantile |
| The Interquartile Range | IQrange sIQR |
| The Mean Absolute Deviation | meanAD |
| Transform data.frame to Long Form | melt.long |
| Box Plots | qboxplot qboxplot.default qboxplot.formula |
| Box Plot Statistics | qbxp.stats |
| Seven-Number Summaries | sevenNS |
| Simulate correlated variables. | simCorVars |
| Hyber-type Skipped Mean and SD | skippedMean skippedSD |
| Compute Standardized Mean Difference (SMD) | SMD |
| Compute SNR | iqrSNR medSNR SNR |
| Plot TSH, fT3 and fT4 with respect to reference range. | thyroid |
| New Transformations for Use with ggplot2 Package | glog10_trans glog2_trans glog_trans neglog10_trans neglog2_trans neglog_breaks neglog_trans scale_x_glog scale_x_glog10 scale_x_glog2 scale_x_log scale_x_log2 scale_x_neglog scale_x_neglog10 scale_x_neglog2 scale_y_glog scale_y_glog10 scale_y_glog2 scale_y_log scale_y_log2 scale_y_neglog scale_y_neglog10 scale_y_neglog2 |
| Compute z-Factors | iqrZfactor medZfactor zfactor |
| Compute z-Scores | iqrZscore medZscore zscore |
