Aariq

# anova() uses type I SS and unless you have only categorical predictors and
# balanced sample sizes, the order of the formula will change p-values,
# sometimes drastically!

m1 <- lm(Volume ~ Height + Girth, data = trees)
m2 <- lm(Volume ~ Girth + Height, data = trees)

anova(m1)
#> Analysis of Variance Table
#> 

Aariq

# Read in multiple .csv files with the same structure (same column names, numbers of columns, types of data in each column) and join them into a single data frame:


library(readr)
library(purrr)
root <- "path/to/where/my/data/is/"
file_paths <- list.files(root, pattern = "*.csv", full.names = TRUE)

#set the names of the file_paths vector, here I'll just use the file names, but you can use whatever
names(file_paths) <- list.files(root, pattern = "*.csv")

Aariq