tool_exec <- function(in_params, out_params)
{
### handle input gp tool paramaters
input_dataset_name <- in_params[[1]]
primary_field <- in_params[[2]]
fields <- in_params[[3]]
# --- import dataset to dataframe ---
fc <- arc.open(input_dataset_name)
df <- arc.select(fc, c(primary_field, fields))
#------- begin common R script ----------
# Make Formula
form <- as.formula(paste(primary_field, "~", paste(fields, collapse="+")))
cat("formula = ")
print(form, showEnv=FALSE)
m <- glm(form, data=df, family=binomial("logit"))
# display summary as GP Messages
print(summary(m))
# append predicted and residual
df["predicted"] <- fitted(m)
r <- fitted(m) - df[primary_field]
df["residual"] <- r
#------- end
### handle gp tool outputs
output_dataset_name <- out_params[[1]]
# export result dataframe to FeatureClass
arc.write(output_dataset_name, df)
# update derived parameter
out_params[[2]] <- m$aic
return(out_params)
}
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