Then, yes, of course that's what I meant! 
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Super, will check this out. Thanks everyone -- love this forum -- I am learning so much!
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I tend to use package managers for library load and management: pacman
https://cran.r-project.org/web/packages/pacman/vignettes/Introduction_to_pacman.html
With pacman::p_load() instead of 5 lines of code to load 5 common packages, like this:
library(dplyr)
library(tidyr)
library(Hmisc)
library(magrittr)
library(janitor)
You can write one line
pacman::p_load(dplyr, tidyr, Hmisc, janitor, magrittr)
if the package is not available on the system, it will first install it (through install.packages), and only then try to load it again. Same as library installr
installr::require2
All of this, on the very first part of any R file.
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I'm generally a fan of pacman, particularly when I start using less common packages. That way, when I need to re-run my analysis down the road, it can automatically reinstall them since I've inevitably lost (or cleaned out) my packages since the last time I ran it. The "bootstrapping" script header provided by pacman::p_boot() is also convenient if you share scripts with people less familiar with R (or at least people that won't mind your script auto-installing some packages):
if (!require("pacman")) install.packages("pacman"); library(pacman)
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