m1 <- clm(categorical_FOD_FODs ~ 0 + Condition_FODs:Language_used_FODs, data = indvar_FODs) How can I conduct this analysis using 'logistic regression'?

# This is a function that will take four inputs: 
#  1) matrix: a matrix of data
#  2) outcome: the column name of the outcome/dependent variable
#  3) predictors: a vector of column names, indicating which columns are the predictors/independent variables
#  4) family: the family object, e.g. binomial()

# This function will return a summary of a logistic regression model. 

# The function requires that you have the 'dplyr' package installed. 

log_reg <- function(matrix, outcome, predictors, family) {
  
  # Install and load the 'dplyr' package.
  #install.packages("dplyr")
  #library(dplyr)
  
  # Fit a logistic regression model, using the variables in 'predictors'
  # as the predictors and the variable in 'outcome' as the outcome
  # The model should use the family indicated by 'family'.
  # Make sure to save your model in the 'fit' object!
  #fit <- glm