Installing libraries
Packages / Libraries
Libraries are sets of code that are stored either individually or as groups in packages that when installed add a lot of functionality to R. The tidyverse package for instance has a lot of libraries in it that make using R a lot easier for beginners and advanced users. Tidyverse builds on base R to make the syntax similar across many of the tasks you will want to do.
These are in my mind the essential libraries for R that I use all the time
You will install these one time and then you need to load the libraries each time you use R and I usually have them loaded at the top of each script. Below is how to install libraries
install.packages("devtools") # install new things from developmental sources
install.packages("tidyverse") # dplyr and piping and ggplot etc
install.packages("lubridate") # dates and times
install.packages("readxl") # read in excel files
install.packages("janitor") # clean up excel imports
install.packages("patchwork") # arrange multiple plots per page
install.packages("skimr") # quick summary stats
install.packages("plotly") # cool ggplot things
install.packages("scales") # scales on ggplot axesLoad Libraries in scripts
This is how to load the libraries at the start of each script.
library(tidyverse)
library(lubridate)
library(scales)
library(readxl)
library(skimr)
library(janitor)
library(patchwork)These are libraries that are SUPER useful that you want to install and then only need to load the libraries one time and it will add a link to your addins drop down menu in RStudio.
install.packages("ggThemeAssist") # helps reformat code - only run library one time
install.packages("styler") # allows you to reformat code to look like a pro!!
library(ggThemeAssist)
library(styler) You may need to go to the View in the menu and click show toolbar to see this
These libraries are useful for general statistics and used quite often.
These are some of the better vetted statistical packages in my opinioon
install.packages("car") # stats and ANOVA - essential
install.packages("emmeans") # estimated marginal means for unbalanced designs
install.packages("multcomView") # paired comparisons - note this will interfear with DPLYR!!
install.packages("Rmisc") # stats
install.packages("Hmisc") # stats install.packages("broom") # output models cleanly These are specialized libraries for specialized statistics
install.packages("GGally") # special ggplot graphs}
install.packages("corrplot") # correlation plot matricies
install.packages("survminer") # survival analysis
install.packages("survival") # survival analysis
install.packages("pwr") # power analysis
install.packages("vegan") # PCA and other sorts of multidimensional
install.packages("factoextra") # more PCA# mixed models
install.packages("lmerTest") # mixed model Anovas install.packages("blme") # Bayesian mixed model AnovasFinally here are some lesser used packages that I do not use a lot but you might find useful
install.packages("hms") # useful for time series
install.packages("akima") # imputing new values
install.packages("RMySQL") # access MySQLserver
install.packages("rLakeAnalyzer") # used for the lake analyzer scripts
install.packages("LakeMetabolizer") #
install.packages("colorRamps") # adds cool color templates