View source: R/params_from_excel.R
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classification_columns: |
: |
end_period: |
upper year month limit for the RM. |
file_path: |
Path to the excell file containing the parameters |
filter_columns: |
|
sheet: |
sheet to read from. |
...: |
further arguments for (read_excel()).} } { create paramenters from excel table } { makes a list containing the parameters for the RM This function was coded to optimize the RM reports generation. The algorithm for RM is described below: 1) Separate the population in risk 2) Classify the statuses as 'event' or 'suspension' 3) Prepare times (calculate elapsed times) 4) Estimate life curves. Often, one wants to estimate several curves for different failures causes for the same Population Under Risk (PUR). So there is no need to separate the population every time, e.g For the population market_type = FH, the Step 1) needs be executed only once. Once the PUR data is acquired, one can estimate life curves for 'Turbo' , 'Gear Box' and 'Valves'. } { } |
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