#### Global chunk options ----------------------------- knitr::opts_chunk$set( eval = TRUE, # whether to run code in code chunk include = TRUE, # whether to include the chunk output echo = FALSE, # Whether to show code chunk in final output error = TRUE, # whether to display error messages message = FALSE, # whether to preserve messages warning = FALSE, # whether to preserve warnings comment = NA, # a character string to append at start of each line of # results in final document tidy = FALSE, # whether to tidy code chunks for display dpi = 96, # dots per inch in graphics when applicable fig.width = 8, # consistent width for figures fig.asp = 0.618, # the golden ratio, can be adjusted in individual chunks out.width = "90%", # controls the output size fig.align = "center", # give plot room to breathe # fig.path = "figures/somedir/" # file path to store plots R.options = list(width = 70), NULL ) #### Other options -------------------------------- ## Scientific notation --------------- # Turn off scientific notation options(scipen = 999) ## define format ---------------- # If you don't define format here, you'll need put `format = "html"` in # every kable function. options(knitr.table.format = "html") # use this option when knitting html # options(knitr.table.format = "latex") # use this option when knitting pdf #### Packages -------------------------------------- # Load the packages to be used. ## Define the repository for packages ---------------- options(repos = c(CRAN = "https://cran.rstudio.com")) ## universally useful packages ---------------- # if (!require("pacman")) {install.packages("pacman")} # if (!require("devtools")) {install.packages("devtools")} pacman::p_load( tidyverse, # packages ggplot2, dplyr, tidyr, readr, purrr, tibble, # stringr, and forcats broom, # functions tidy(), glance(), augment() fs, # Cross-platform interface to file system operations glue, # Glue strings to data in R here, # Constructs paths to your project's files janitor, # for working with dirty data lubridate, # Functions to work with date-times and time-spans mice, # Multiple imputation using Fully Conditional Specification naniar, # structures, summaries, and visualisations for missing data readxl, # read in excel files scales, # Scale functions for visualization install = FALSE ) #### Other packages ----------------------------- library(lamisc) # devtools::install_github("emilelatour/lamisc") library(latable) # devtools::install_github("emilelatour/latable") library(laviz) # devtools::install_github("emilelatour/laviz") library(purposeful) # devtools::install_github("emilelatour/purposeful") library(redcaptools) # devtools::install_github("emilelatour/redcaptools")
devtools::session_info()
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