% Generated by roxygen2: do not edit by hand % Please edit documentation in R/logistic.R \name{predict.logistic} \alias{predict.logistic} \title{Predict method for the logistic function} \usage{ \method{predict}{logistic}( object, pred_data = NULL, pred_cmd = "", conf_lev = 0.95, se = TRUE, interval = "confidence", dec = 3, envir = parent.frame(), ... ) } \arguments{ \item{object}{Return value from \code{\link{logistic}}} \item{pred_data}{Provide the dataframe to generate predictions (e.g., titanic). The dataset must contain all columns used in the estimation} \item{pred_cmd}{Generate predictions using a command. For example, `pclass = levels(pclass)` would produce predictions for the different levels of factor `pclass`. To add another variable, create a vector of prediction strings, (e.g., c('pclass = levels(pclass)', 'age = seq(0,100,20)')} \item{conf_lev}{Confidence level used to estimate confidence intervals (.95 is the default)} \item{se}{Logical that indicates if prediction standard errors should be calculated (default = FALSE)} \item{interval}{Type of interval calculation ("confidence" or "none"). Set to "none" if se is FALSE} \item{dec}{Number of decimals to show} \item{envir}{Environment to extract data from} \item{...}{further arguments passed to or from other methods} } \description{ Predict method for the logistic function } \details{ See \url{https://radiant-rstats.github.io/docs/model/logistic.html} for an example in Radiant } \examples{ result <- logistic(titanic, "survived", c("pclass", "sex"), lev = "Yes") predict(result, pred_cmd = "pclass = levels(pclass)") logistic(titanic, "survived", c("pclass", "sex"), lev = "Yes") \%>\% predict(pred_cmd = "sex = c('male','female')") logistic(titanic, "survived", c("pclass", "sex"), lev = "Yes") \%>\% predict(pred_data = titanic) } \seealso{ \code{\link{logistic}} to generate the result \code{\link{summary.logistic}} to summarize results \code{\link{plot.logistic}} to plot results \code{\link{plot.model.predict}} to plot prediction output }