In emilelatour/lamisc: Latour's Little Helpers

#### 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")