Package: liver 1.16
liver: "Eating the Liver of Data Science"
Offers a suite of helper functions to simplify various data science techniques for non-experts. This package aims to enable individuals with only a minimal level of coding knowledge to become acquainted with these techniques in an accessible manner. Inspired by an ancient Persian idiom, we liken this process to "eating the liver of data science," suggesting a deep and intimate engagement with the field of data science. This package includes functions for tasks such as data partitioning for out-of-sample testing, calculating Mean Squared Error (MSE) to assess prediction accuracy, and data transformations (z-score and min-max). In addition to these helper functions, the 'liver' package also features several intriguing datasets valuable for multivariate analysis.
Authors:
liver_1.16.tar.gz
liver_1.16.zip(r-4.5)liver_1.16.zip(r-4.4)liver_1.16.zip(r-4.3)
liver_1.16.tgz(r-4.4-any)liver_1.16.tgz(r-4.3-any)
liver_1.16.tar.gz(r-4.5-noble)liver_1.16.tar.gz(r-4.4-noble)
liver_1.16.tgz(r-4.4-emscripten)liver_1.16.tgz(r-4.3-emscripten)
liver.pdf |liver.html✨
liver/json (API)
NEWS
| # Install 'liver' in R: |
| install.packages('liver', repos = c('https://rezamoammadi.r-universe.dev', 'https://cloud.r-project.org')) |
- adult - Adult data set
- advertising - Advertising data set
- bank - Bank marketing data set
- cereal - Cereal data set
- churn - Churn data set
- churnCredit - Churn dataset for Credit Card Customers
- churnTel - ChurnTel dataset
- corona - Corona data set
- fertilizer - Fertilizer data set
- house - House data set
- housePrice - HousePrice dataset
- insurance - Insurance data set
- marketing - Marketing data set
- redWines - Red wines data set
- risk - Risk data set
- whiteWines - White wines data set
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 12 days agofrom:c35ba82948. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 06 2024 |
| R-4.5-win | OK | Sep 06 2024 |
| R-4.5-linux | OK | Sep 06 2024 |
| R-4.4-win | OK | Sep 06 2024 |
| R-4.4-mac | OK | Sep 06 2024 |
| R-4.3-win | OK | Sep 06 2024 |
| R-4.3-mac | OK | Sep 06 2024 |
Exports:accuracyconf.matconf.mat.plotfind.nakNNkNN.plotmaeminmaxmsepartitionskewnessskimtransformzscore
Dependencies:classclicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| liver: "Eating the Liver of Data Science" | liver-package |
| Average classification accuracy | accuracy |
| adult data set | adult |
| advertising data set | advertising |
| Bank marketing data set | bank |
| Cereal data set | cereal |
| Churn data set | churn |
| Churn dataset for Credit Card Customers | churnCredit |
| churnTel dataset | churnTel |
| Confusion Matrix | conf.mat |
| Plot Confusion Matrix | conf.mat.plot |
| Corona data set | corona |
| Fertilizer data set | fertilizer |
| find.na | find.na |
| house data set | house |
| housePrice dataset | housePrice |
| insurance data set | insurance |
| k-Nearest Neighbour Classification | kNN |
| Visualizing the Optimal Number of k | kNN.plot |
| Mean Absolute Error (MAE) | mae |
| marketing data set | marketing |
| Min-Max normalization | minmax |
| Mean Squared Error (MSE) | mse |
| Partition the data | partition |
| Red wines data set | redWines |
| Risk data set | risk |
| Skewness | skewness |
| Skim a data frame to get useful summary statistics | skim |
| Z-score normalization | transform |
| White wines data set | whiteWines |
| Z-score normalization | zscore |
