# Performance Loss Rate Analysis Pipeline

## Documentation for package ‘PVplr’ version 0.1.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

all_na | function to test if an entire column is NA
mbm_resample | Dataframe resample function
nc | function to convert to character then numeric
num_test | function to test is the values in a column should be numeric
plr_6k_model | 6k Method for PLR Determination
plr_bootstrap_output | Bootstrap: Resampling from individual Models
plr_bootstrap_output_from_results | Bootstrap: Resample from individual Models
plr_bootstrap_uncertainty | Bootstrap: Resampling data going into each Model
plr_build_var_list | Build a Custom Variable List
plr_cleaning | Basic Data Cleaning
plr_convert_columns | Fix Column Typings
plr_decomposition | Decompose Seasonality from Data
plr_kmeans_test | Statistical k-means Test
plr_pvusa_model | PVUSA Method for PLR Determination
plr_remove_outliers | Filter outliers from Power Predicted Data
plr_saturation_removal | Removing Saturated Data
plr_seg_extract | Segmented linear PLR extraction function
plr_var | PLR linear model uncertainty
plr_variable_check | Define Standard Variable Names
plr_weighted_regression | Weighted Regression
plr_xbx_model | XbX Method for PLR Determination
plr_xbx_utc_model | UTC Method for PLR Determination
plr_yoy_regression | Year-on-Year Regression
test_df | DOE RTC Sample PV System Data