Package: liver 1.19
liver: "Eating the Liver of Data Science"
Provides a suite of helper functions and a collection of datasets used in the book <https://uncovering-data-science.netlify.app>. It is designed to make data science techniques accessible to individuals with minimal coding experience. Inspired by an ancient Persian idiom, the package likens this learning process to "eating the liver of data science," symbolizing deep and immersive engagement with the field.
Authors:
liver_1.19.tar.gz
liver_1.19.zip(r-4.5)liver_1.19.zip(r-4.4)liver_1.19.zip(r-4.3)
liver_1.19.tgz(r-4.5-any)liver_1.19.tgz(r-4.4-any)liver_1.19.tgz(r-4.3-any)
liver_1.19.tar.gz(r-4.5-noble)liver_1.19.tar.gz(r-4.4-noble)
liver_1.19.tgz(r-4.4-emscripten)liver_1.19.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 14 days agofrom:dd81f439b9. Checks:9 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 18 2025 |
| R-4.5-win | OK | Mar 18 2025 |
| R-4.5-mac | OK | Mar 18 2025 |
| R-4.5-linux | OK | Mar 18 2025 |
| R-4.4-win | OK | Mar 18 2025 |
| R-4.4-mac | OK | Mar 18 2025 |
| R-4.4-linux | OK | Mar 18 2025 |
| R-4.3-win | OK | Mar 18 2025 |
| R-4.3-mac | OK | Mar 18 2025 |
Exports:accuracyconf.matconf.mat.plotfind.nakNNkNN.plotmaeminmaxmseone.hotpartitionscalerskewnessskimzscore
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 scaling of numerical variables | minmax |
| Mean Squared Error (MSE) | mse |
| One Hot Encoder | one.hot |
| Partition the data | partition |
| Red wines data set | redWines |
| Risk data set | risk |
| Feature scaling | scaler |
| Skewness | skewness |
| Skim a data frame to get useful summary statistics | skim |
| White wines data set | whiteWines |
| Z-score scaling of numerical variables | zscore |
