chisq.test
{stats}
Chi-Squared test (e.g. for cross-tabulations)
read_dta
{haven}
Read a .dta file (Stata data)
as.numeric
{base}
Coerce a vector to numeric
summary
{base}
Obtain summary statistics or detailed regression output
aes
{GGPLOT2}
Construct aesthetic mapping of a ggplot graph
theme_classic
{GGPLOT2}
A minimalistic theme with no gridlines
scale_y_continuous
{GGPLOT2}
Customise continuous y axis
as.character
{base}
Coerce a vector to character
geom_point
{GGPLOT2}
Generates a scatter plot
geom_smooth
{GGPLOT2}
Generates a smoothed conditional means curve / line
t.test
{stats}
Performs one and two sample t-tests on vectors of data.
leveneTest
{car}
Computes Levene’s test for homogeneity of variance across groups.
mutate
{dplyr}
Modify/create a column in a data frame
read_excel
{readxl}
Read an Excel file
ggplot
{GGPLOT2}
Create a ggplot graph
ordered
{dplyr}
Create an ordered factor
prop.test
{stats}
Test of Equal or Given Proportions
setwd
{base}
Set Working Directory
with
{base}
evaluate expression in the context of a data frame
c
{base}
Combine values/vectors into a vector
table
{base}
Obtain frequency table of a variable/cross-tabulation of two variables
library
{base}
Load an R package
scale_x_continuous
{GGPLOT2}
Customise continuous x axis
attach
{base}
Attach Set of R Objects to Search Path
lm
{base}
Fit a linear model
cut
{base}
Convert Numeric to Factor
ifelse
{base}
Return a or b depending on the value of test
The end!