Open Online R Stream - 2020/11/12

News, Resources, Errata/Additions

News, Resources, Errata/Additions

Wolfgang Viechtbauer

Maastricht University

Maastricht University

A simulation introduction to censoring in survival analysis

https://thestatsgeek.com/2020/10/20/a-simulation-introduction-to-censoring-in-survival-analysis/Generalized Additive Models (GAMs) in R

https://noamross.github.io/gams-in-r-course/find out which package a function comes from

`# get all method functions for the summary generic function methods(summary) # cannot directly see the code for summary.loess (the function is not 'exported') summary.loess # but can do so with getAnywhere() getAnywhere(summary.loess) # or if we know which package the function comes from :::summary.loess stats # but how do you know which package a function comes from??? # can do this environmentName(environment(loess)) # but this does not work for non-exported functions environmentName(environment(summary.loess)) # try the where() function from the 'pryr' package # install.packages("pryr") library(pryr) where("loess") # also does not work for non-exported functions where("summary.loess") # my suggestion <- function(x) invisible(sapply(loadedNamespaces(), function(ns) ff if (exists(x, envir=asNamespace(ns), inherit=FALSE)) print(ns))) # try this out ff("loess") ff("summary.loess") # let's see what happens when there are two functions with the same name # (install) and load the 'dplyr' package #install.package("dplyr") library(dplyr) # note the messages about 'masking' (the dplyr package has some functions that # have the same name as functions that are already loaded) environmentName(environment(lag)) where("lag") ff("lag")`