R Packages used in these notes

Here, we’ll load in the packages used in these notes.

## packages I've used in the first few chapters

library(tableone) 
library(visdat) 
library(naniar) 
library(broom) 
library(haven) 
library(here)
library(caret)
library(simputation)
library(car)
library(patchwork) 
library(janitor) 
library(magrittr)
library(rms)
library(mice)
library(leaps)
library(lars)
library(Epi)
library(pROC)
library(ROCR)
library(VGAM)

## not yet used, I think

library(ggridges)
library(pander)
library(arm)
library(survival)
library(survminer)

library(modelr)
library(kableExtra)

## and of course, we conclude with...
library(tidyverse) # used

specify_decimal <- function(x, k) format(round(x, k), nsmall=k)

General Theme for ggplot work

theme_set(theme_bw())

Data used in these notes

Here, we’ll load in the data sets used in these notes.

## already used

fakestroke <- read.csv("data/fakestroke.csv") %>% tbl_df
bloodbrain <- read.csv("data/bloodbrain.csv") %>% tbl_df
prost <- read.csv("data/prost.csv") %>% tbl_df
pollution <- read.csv("data/pollution.csv") %>% tbl_df

bonding <- read.csv("data/bonding.csv") %>% tbl_df
cortisol <- read.csv("data/cortisol.csv") %>% tbl_df
emphysema <- read.csv("data/emphysema.csv") %>% tbl_df
resect <- read.csv("data/resect.csv") %>% tbl_df
colscr <- read.csv("data/screening.csv") %>% tbl_df
colscr2 <- read.csv("data/screening2.csv") %>% tbl_df
authorship <- read_csv("data/authorship.csv") 
hem <- read.csv("data/hem.csv") %>% tbl_df
leukem <- read.csv("data/leukem.csv") %>% tbl_df