Man pages for Covid19Wastewater
Prepare, Analyze, and Visualize Covid-19 Wastewater Data
| Aux_info_data | Auxiliary data |
| bagging | Bootstrap aggregating of dataset gen a list of dataframes... |
| buildCaseAnalysisDF | Prep case data into right format |
| buildRegressionEstimateTable | Run DHS analysis at a top level |
| buildWasteAnalysisDF | Convert wastewater_data data to workset4 shape |
| Case_data | Case data |
| classifyCaseRegression | Create Case Flags based on regression slope |
| classifyQuantileFlagRegression | Classify FlagRegression with rolling Quantile info |
| classifyRegressionAnalysis | classifyRegressionAnalysis |
| computeJumps | compute first difference Jumps for N1 and N2 |
| computeRankQuantiles | computeRankQuantiles |
| countFlags | Create counts of flag data |
| Covariants_data | Covariants data |
| Covid19Wastewater | Covid19Wastewater: A package for running Covid19 wastewater... |
| createCaseFlag | Create Case flags |
| createWasteFlags | Create waste flags |
| Data_Description | Data Description This package contains a lot of data with... |
| date_distance_calc | date_distance_calc |
| date_distance_clamp | remove distances above threshold |
| date_distance_remove | remove distances above threshold |
| DF_date_vector | DF_date_vector |
| diffLookup | lookup |
| Example_data | Example data |
| expand_formula | Expand formula for increased info takes a formula with shape... |
| expSmoothMod | expSmoothMod Add a column of the smoothed values using... |
| factorVecByNumPoints | convert column to factor based on amount of entries |
| factorVecByVec | Get ordering for ploting based on factoring vector |
| Flag_From_Trend | Flag values as outliers based on error from estimated trend... |
| flagOutliers | Create column with Boolean based on a threshold |
| gen_INCMSE | get increased mean square error for each column |
| gen_OOB_pred | get OOB predictions of the training dataset returns the... |
| heatmapcorfunc | Outputs a heatmap where the color is the r squared of... |
| HFGCase_data | High frequency case data |
| HFGWaste_data | High frequency Waste data |
| InterceptorCase_data | Madison interceptor case data |
| loessSmoothMod | loessSmoothMod Add a column of the smoothed values using... |
| makeQuantileColumns | Add many combo of rolling quantile columns to dataframe have... |
| nGuess | nGuess for sgolaySmoothMod number of points per polynomial |
| OffsetDFMaker | Returns a dataframe with the multiple ways to analyze how... |
| OffsetDF_Plot | Given output from OffsetDFMaker returns a 2x3 grid of all the... |
| OffsetHeatmap | Outputs a heatmap of the offset for variant / time windows... |
| OOB_MSE_num_trees | get OOB MSE vs number of forest in trees |
| parameterGuess | Get a fitting parameter for the model |
| Pop_data | Sewer shed population data |
| predict-random_linear_forest-method | predict new data from random_linear_forest models |
| random_linear_forest | Fitting linear random forest |
| random_linear_forest-class | random_linear_forest model class using a random forest of... |
| rankJumps | rankJumps |
| regressionInnerLoop | regressionInnerLoop |
| removeOutliers | Add column with NA values where the data was flagged |
| runRegressionAnalysis | runRegressionAnalysis |
| sgolaySmoothMod | sgolaySmoothMod Add a column of the smoothed values using... |
| show-random_linear_forest-method | display form for random_linear_forest class |
| summary-random_linear_forest-method | summary method for linear forest class |
| uniqueVal | Find all unique values in the column selected |
| VariantPlot | Shows each variant in proportion to the others in 2 week time... |
| WasteWater_data | Wastewater data set |
| windowingQuantFunc | create rolling quantile column based on date |
