R Logistic Regression in Tableau

Question

I am trying to connect logistic regression through tableau and r integration

SCRIPT_REAL('dat <- data.frame(DEP_VAR=.arg1, IND_VAR1=.arg2, 
IND_VAR2=.arg3, IND_VAR3=.arg4);
model <- glm(DEP_VAR~IND_VAR1+IND_VAR2+IND_VAR3, data = 
dat, family = binomial(link = "logit"));
prob <- predict(model,newdata=dat,type="response")',
AVG([DEP_VAR]), AVG([IND_VAR1]), AVG([IND_VAR2]), AVG([IND_VAR3]))

I have tried this Tableau script and getting an error

 Error in base::parse(text = .cmd) : :1:32: unexpected symbol 1: dat <- data.frame(DEP_VAR=.arg1, IND_VAR1 ^"

Answer 1

Follow the following script

SCRIPT_REAL('
model <- glm(DEP_VAR~IND_VAR1+IND_VAR2+IND_VAR3, family = binomial(link = 
"logit"));
model$fitted.values
',
AVG([DEP_VAR]), AVG([IND_VAR1]), AVG([IND_VAR2]), AVG([IND_VAR3]))

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