Man pages for DoktorMike/datools
A set of useful tools for machine learning consulting using R
| csvToSQLite | Save a single CSV-table into a single table sqlite database |
| dateToIsoWeek | Convert an iso date to simple isoweek format |
| datools | datools: A set of useful tools for machine learning... |
| discover_and_plot_variable_hierarchies | Find the relationship between the variables in a data set and... |
| discover_hierarchy_and_fit | Find the relationship between the variables in a data set and... |
| discover_variable_hierarchies | Find the relationship between the variables in a data set |
| evolve_hierarchy_and_plot | Evolve a hierarchy among variables by hill climbing |
| extrapolateNA | Extrapolate NA's in a univariate vector |
| find_lag | Find the optimal lag |
| genHolidays | Generate public holidays for all markets |
| grammify | Create a Grammian Angular Field representation of a time... |
| interpolateNA | Perform linear interpolation of a time series |
| lagvariables | Lag variables in data nlags |
| mae | Mean absolute error |
| mape | Mean absolute percentage error |
| mase | Mean absolute scaled error |
| mse | Mean squared error |
| naToVal | Replace NA with a user given value in a vector |
| naToZero | Replace NA with 0 in a vector |
| nonFinToVal | Replace non finite values with a user given value in a vector |
| normalize | Normalize a vector of numbers |
| oneHotEncoder | Encode a vector into a one hot data.frame |
| oneHotEncoder2 | Encode a vector into a one hot tibble |
| plotGantt | Plot a Gantt chart using plotly |
| plotPCAComponent | Plot original data in PCA space |
| plotPrediction | Plot prediction based on a time series |
| plot_waterfall | Make a waterfall plot from a tibble of cash flows |
| rangeToBuckets | Split a vector of indices into buckets |
| rmse | Root mean squared error |
| scenarios | Create a number of scenarios based on a single observation |
| standardize | Standardize a vector of numbers |
| stripGlmModel | Strip a fitted GLM model |
| tf_dagum | The Dagum transformation function |
| tf_relu | The ReLu transformation function |
| tf_relunoise | The Noise ReLu transformation function |
| tf_softplus | The Softplus ReLu transformation function |
| to_waterfall | Make waterfall data tibble from a tibble of cash flows |
| vif | Calculate the VIF for data |
| wmape | Weighted mean absolute percentage error |
