cv20_poisson_fixed {CleaningValidation}

Poisson Fixed Effect Model

Description

Fits a fixed effects Poisson model and returns a data frame with the summary. If the p-value is significant, then the corresponding cleaning event is significantly different from other cleaning events. For a stable cleaning process, we wish all p-values are not significant.

Usage

cv20_poisson_fixed(data, residue_col, cleaning_event_col)

Arguments

data

Data frame containing the data.

residue_col

The name of the residue column.

cleaning_event_col

The name of the cleaning event column.

Value

A data frame output with the fixed effect summary.

Author(s)

Chan, Mohamed, Lou, Wendy, Yang, Xiande [xiande.yang at gmail.com]

Examples

fixed_effect_summary <- cv20_poisson_fixed(data = Eq_Mic, residue_col = "Mic", 
cleaning_event_col = "CleaningEvent")