robjectplotsummaryr-s3

How does an S3 object invoke a method?


I have been trying to develop my S3 learnings. Have I used object correctly here? I want to create a summary and print and plot classes. I'm using a t-test for the moment but the function itself is not important - getting the S3 code right is.

Note: I've read everything i can find and recommended - but as they keep using sloop or lm I'm just not understanding what is unique or what is contained in those packages - i want to build from scratch. Thank you

library(gapminder)
library(dplyr)
library(ggplot2)

head(gapminder)
str(gapminder)

part3 <- gapminder
Asia1 <- subset(part3, continent == "Asia")
Africa1 <- subset(part3, continent =="Africa")
part3c <- rbind(Asia1, Africa1)

summary.part3s3b <-function(part3g) {
  cat('The following should give t-test results:\n')
  part3g <- t.test(data = part3c,
                   lifeExp ~ continent)
  part3g
}
summary(part3g)

Solution

  • We define a constructor to create part3s3b objects and a summary and plot method. The summary method creates an object of class summary.part3s3b and it has a print method. Then we test it out. Look at lm, print.lm, plot.lm, summary.lm, print.summary.lm for another example.

    # construct a part3s3b object
    part3s3b <- function(x, ...) {
      structure(x, class = c("part3s3b", setdiff(class(x), "part3s3b")))
    }
    
    # construct summary.part3s3b object which is an htest with 
    #  a c("summary.part3s3b", "htest") class
    summary.part3s3b <- function(object, ...) {
      y <- t.test(data = object, lifeExp ~ continent)
      structure(y, class = c("summary.part3s3b", "htest"))
    }
    
    # same as print.htest except it also displays a line at the beginning
    print.summary.part3s3b <-function(x, ...) {
      cat('The following should give t-test results:\n')
      NextMethod()
    }
    
    plot.part3s3b <- function(x, ...) {
      cat("plotting...\n")
      NextMethod()
    }
    
    # test    
    X <- part3s3b(part3c)  # create part3s3b object X
    summary(X)  # run summary.part3s3b and print.summary.part3s3b
    plot(X)  # run plot.part3s3b