This command takes the raw data from the water-quality instrument, utilizes the values generated from dr_correct
and returns data that accounts for drift over time. This is done via a one point calibration standard, which it typical for specific conductivity, dissolved oxygen, and turbidity.
dr_clean1(dataFrame, varName, calVal, calStd, correctVar)
dataFrame | The working data frame |
---|---|
varName | The name of the variable to correct |
calVal | The number that the instrument was actually reading for the parameter |
calStd | The number that the instrument should have been reading for that standard; i.e. the standard value |
correctVar | Name of value or variable generated from |
A list of values for the specified varName
corrected for drift
# NOT RUN { dr_clean1(df, SpCond, 1.05, 1, corrfactors) dr_clean1(df, DO, 96.4, 99, df$corrections) # }