predict.crtree: Predict method for the crtree function

Description Usage Arguments Details See Also Examples

View source: R/crtree.R

Description

Predict method for the crtree function

Usage

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## S3 method for class 'crtree'
predict(object, pred_data = NULL, pred_cmd = "",
  conf_lev = 0.95, se = FALSE, dec = 3, ...)

Arguments

object

Return value from crtree

pred_data

Provide the dataframe to generate predictions (e.g., titanic). The dataset must contain all columns used in the estimation

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)')

conf_lev

Confidence level used to estimate confidence intervals (.95 is the default)

se

Logical that indicates if prediction standard errors should be calculated (default = FALSE)

dec

Number of decimals to show

...

further arguments passed to or from other methods

Details

See https://radiant-rstats.github.io/docs/model/crtree.html for an example in Radiant

See Also

crtree to generate the result

summary.crtree to summarize results

Examples

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result <- crtree(titanic, "survived", c("pclass", "sex"), lev = "Yes")
predict(result, pred_cmd = "pclass = levels(pclass)")
result <- crtree(titanic, "survived", "pclass", lev = "Yes")
predict(result, pred_data = titanic) %>% head()

radiant-rstats/radiant.model documentation built on Nov. 13, 2018, 7 a.m.