Man pages for oislen/BuenaVista
Functions for Everyday Data Science Tasks
| convert_variables | Convert the Data Types of Variables from a given Dataset |
| derive_variables | Derive Variables from a given Dataset |
| descriptive_statistics | Generate Descriptive Statistics for a given dataset |
| ensemble_glmnet | Bagged Ensemble GLMNET Model. |
| ensemble_mars | Bagged Ensemble MARS Model. |
| ensemble_randForest | Bagged Ensemble Random Forests Model. |
| eurovision | Eurovision Dataset |
| evaluation_metrics | Calculate Evaluation Metrics |
| extract_variables | Extract Variables of Specific Types from a given Dataset |
| house_prices | House Prices Dataset |
| impute_variables | Impute missing observations for a given Dataset |
| lungcap | Lung Capacity Dataset |
| Mode | Calculate the Mode of a given Dataset |
| random_2014_ESC | Generate a Random Voting Network for the 2014 ESC Final |
| random_single_level | Generate a Random Single Voting Network for the 2014 ESC... |
| remove_variables | Remove Variables / Observations from a Dataset |
| sample_variables | Sample Observations from given a Dataset. |
| standardise_variables | Standardise the Numeric Variables of a given Dataset |
| tests_chisq | Performs Chi-Squared Tests of Associations on a given dataset |
| tests_cors | Performs Correlation Tests on a given dataset |
| tests_ks | Performs Two Sample Kolmogorov-Smirnov Tests on a given... |
| tests_norm | Performs a variety of Normality Tests on a given dataset |
| tests_proptest | Performs Difference of Proportion Tests on a given dataset |
| tests_t | Performs One Sample and Two Sample T-tests on a given dataset |
| tests_univariate | Perform a Univariate Analysis on a given dataset |
| tests_var | Performs Two Sample Variance F-Tests on a given dataset |
| tests_wilcoxon | Performs One Sample and Two Sample Wilcoxon Tests on a given... |
| titanic | Titanic Dataset |
| transform_variables | Transforms the Numeric Variables of a given Dataset based on... |
| visualise_qqplot | Visualise a normal QQ-plot for a given vector |
| visualise_residuals | Visualise the Residuals of given a given Linear Model. |
| visualise_variables_x | Visualise each Variable in a given Dataset |
| visualise_variables_xx | Visualise each Variable Pair in a given Dataset |
