How to: |
You can use the RSERVE function in a COMPUTE command to run an R script that returns vector output. This requires that you have a configured Adapter for Rserve.
RSERVE(rserve_mf, input_field1, ...input_fieldn, output)
where:
Is the synonym for the R script.
Are the independent variables used by the R script.
Is the dependent variable returned by the R script. It must be a single column (vector) of output.
The R script named wine_run_model.R predicts Bordeaux wine prices based on the average growing season temperature, the amount of rain during the harvest season, the amount of rain during the winter, and the age of the wine.
Using a configured connection (named MyRserve) for the Adapter for Rserve, and a sample data file named wine_input_sample.csv, you create the following synonym for the R script, as described in the TIBCO WebFOCUS® Adapter Administration manual.
Master File
FILENAME=WINE_RUN_MODEL, SUFFIX=RSERVE , $ SEGMENT=INPUT_DATA, SEGTYPE=S0, $ FIELDNAME=AGST, ALIAS=AGST, USAGE=D9.4, ACTUAL=STRING, MISSING=ON, TITLE='AGST', $ FIELDNAME=HARVESTRAIN, ALIAS=HarvestRain, USAGE=I11, ACTUAL=STRING, MISSING=ON, TITLE='HarvestRain', $ FIELDNAME=WINTERRAIN, ALIAS=WinterRain, USAGE=I11, ACTUAL=STRING, MISSING=ON, TITLE='WinterRain', $ FIELDNAME=AGE, ALIAS=Age, USAGE=I11, ACTUAL=STRING, MISSING=ON, TITLE='Age', $ SEGMENT=OUTPUT_DATA, SEGTYPE=U, PARENT=INPUT_DATA, $ FIELDNAME=PRICE, ALIAS=Price, USAGE=D18.14, ACTUAL=STRING, MISSING=ON, TITLE='Price', $
Access File
SEGNAME=INPUT_DATA, CONNECTION=MyRserve, R_SCRIPT=/prediction/wine_run_model.r, R_SCRIPT_LOCATION=WFRS, R_INPUT_SAMPLE_DAT=prediction/wine_input_sample.csv, $
Now that the synonym has been created for the model, the model will be used to run against the following data file named wine_forecast.csv.
Year,Price,WinterRain,AGST,HarvestRain,Age,FrancePop 1952,7.495,600,17.1167,160,31,43183.569 1953,8.0393,690,16.7333,80,30,43495.03 1955,7.6858,502,17.15,130,28,44217.857 1957,6.9845,420,16.1333,110,26,45152.252 1958,6.7772,582,16.4167,187,25,45653.805 1959,8.0757,485,17.4833,187,24,46128.638 1960,6.5188,763,16.4167,290,23,46583.995 1961,8.4937,830,17.3333,38,22,47128.005 1962,7.388,697,16.3,52,21,48088.673 1963,6.7127,608,15.7167,155,20,48798.99 1964,7.3094,402,17.2667,96,19,49356.943 1965,6.2518,602,15.3667,267,18,49801.821 1966,7.7443,819,16.5333,86,17,50254.966 1967,6.8398,714,16.2333,118,16,50650.406 1968,6.2435,610,16.2,292,15,51034.413 1969,6.3459,575,16.55,244,14,51470.276 1970,7.5883,622,16.6667,89,13,51918.389 1971,7.1934,551,16.7667,112,12,52431.647 1972,6.2049,536,14.9833,158,11,52894.183 1973,6.6367,376,17.0667,123,10,53332.805 1974,6.2941,574,16.3,184,9,53689.61 1975,7.292,572,16.95,171,8,53955.042 1976,7.1211,418,17.65,247,7,54159.049 1977,6.2587,821,15.5833,87,6,54378.362 1978,7.186,763,15.8167,51,5,54602.193
The data file can be any type of file that R can read. In this case it is another .csv file. This file needs a synonym in order to be used in a report request. You create the synonym for this file using the Adapter for Delimited Files.
The following is the generated Master File, wine_forecast.mas.
FILENAME=WINE_FORECAST, SUFFIX=DFIX , CODEPAGE=1252, DATASET=prediction/wine_forecast.csv, $ SEGMENT=WINE_FORECAST, SEGTYPE=S0, $ FIELDNAME=YEAR1, ALIAS=Year, USAGE=I6, ACTUAL=A5V, MISSING=ON, TITLE='Year', $ FIELDNAME=PRICE, ALIAS=Price, USAGE=D8.4, ACTUAL=A7V, MISSING=ON, TITLE='Price', $ FIELDNAME=WINTERRAIN, ALIAS=WinterRain, USAGE=I5, ACTUAL=A3V, MISSING=ON, TITLE='WinterRain', $ FIELDNAME=AGST, ALIAS=AGST, USAGE=D9.4, ACTUAL=A8V, MISSING=ON, TITLE='AGST', $ FIELDNAME=HARVESTRAIN, ALIAS=HarvestRain, USAGE=I5, ACTUAL=A3V, MISSING=ON, TITLE='HarvestRain', $ FIELDNAME=AGE, ALIAS=Age, USAGE=I4, ACTUAL=A2V, MISSING=ON, TITLE='Age', $ FIELDNAME=FRANCEPOP, ALIAS=FrancePop, USAGE=D11.3, ACTUAL=A11V, MISSING=ON, TITLE='FrancePop', $
The following is the generated Access File, wine_forecast.acx.
SEGNAME=WINE_FORECAST, DELIMITER=',', ENCLOSURE=", HEADER=YES, CDN=COMMAS_DOT, CONNECTION=<local>, $
The following request, wine_forecast_price_report.fex, uses the RSERVE built-in function to run the script and return a report.
-*wine_forecast_price_report.fex TABLE FILE PREDICTION/WINE_FORECAST PRINT YEAR WINTERRAIN AGST HARVESTRAIN AGE COMPUTE PREDICTED_PRICE/D18.2 MISSING ON ALL= RSERVE(prediction/wine_run_model, AGST, HARVESTRAIN, WINTERRAIN, AGE, Price); AS 'Predicted,Price' ON TABLE SET PAGE NOLEAD ON TABLE SET STYLE * GRID=OFF,$ ENDSTYLE END
The output is shown in the following image.