#####Conversion

Convert = read.csv(file.choose()) ###Conversion.csv
View(Convert)

Convert$Convert = as.factor(Convert$Convert) ###Registered and went on to submit data, or not
Convert$Reaction = as.factor(Convert$Reaction) ###Considered to suffer a severe reaction (2) or less severe reaction (1)
Convert$Regularity = as.factor(Convert$Regularity) ###How often reactions occur for the person who the observation was about
Convert$AgeOperate = as.factor(Convert$AgeOperate) ###Age of the person uploading the observation
Convert$AgeSubject = as.factor(Convert$AgeSubject) ###Age of the subject (e.g., if <16 years old)
Convert$GenderOperate = as.factor(Convert$GenderOperate) ###Gender of the person uploading the observation
Convert$GenderSubject = as.factor(Convert$GenderSubject) ###Gender of the person who the observation was about
Convert$EthnicityOperate = as.factor(Convert$EthnicityOperate) ###Ethnicity of the person uploading the observation
Convert$EthnicitySubject = as.factor(Convert$EthnicitySubject) ###Ethnicity of the person who the observation was about
Convert$WorkOperate = as.factor(Convert$WorkOperate) ###Employment status of the person uploading the observation
Convert$Hear = as.factor(Convert$Hear) ###How participant had heard about the project

model <- glm(Convert$Convert~Convert$EthnicityOperate, family = binomial) ####change vector for predictors
summary(model)

#####GLMs for engagement
library(sjPlot)

Engage = read.csv(file.choose()) ###Engagement.csv
View(Engage)

Engage$Regularity = as.factor(Engage$Regularity)
Engage$AgeSubject = as.factor(Engage$AgeSubject)
Engage$EthnicityOperate = as.factor(Engage$EthnicityOperate)
Engage$EthnicitySubject = as.factor(Engage$EthnicitySubject)
Engage$GenderSubject = as.factor(Engage$GenderSubject)
Engage$WorkOperate = as.factor(Engage$WorkOperate)
Engage$Hear = as.factor(Engage$Hear)
Engage$Reaction = as.factor(Engage$Reaction)

# with operator variables removed (covary with subject)
Engage.GLM = glm(Data.Count~Regularity+AgeSubject+EthnicitySubject+GenderSubject+WorkOperate+Hear+Reaction,family=Gamma(link = "log"), data=Engage)
summary(Engage.GLM)