sensortoolkit.model._sensor_ols.sensor_ols

sensor_ols(df, ref_df, y_var=None, x_vars=[])[source]

Generates a statsmodels OLS Regressions Results summary for selected x (independent) and y (dependent) variables for sensor data.

Parameters
  • df (Pandas Dataframe) – Sensor data.

  • ref_df (Pandas Dataframe) – Reference data.

  • y_var (str) – Name of dependent variable (often sensor concentration values).

  • x_vars (list) – Column names for independent variables (reference conc., met params, etc.).

Returns

statsmodels.regression.linear_model.RegressionResults instance. See the link below for more info on attributes:

https://www.statsmodels.org/stable/generated/statsmodels.regression. linear_model.RegressionResults.html

Return type

results