sd
{stats}
Get standard deviation of a vector
save_tt
{tinytable}
Save a tinytable object to a file
tibble
{tibble}
A modern data frame from the tidyverse
factor
{base}
Create a factor
colMeans
{base}
Computes the means of each column of a numeric matrix or data frame
scale_color_manual
{ggplot2}
Manually sets the colours used in a ggplot color scale to user-specified values
arrange
{dplyr}
Sort values of data frame according to a variable/combination of variables
is.na
{base}
Check if a value is NA/elements of vector are NA
setwd
{base}
Set Working Directory
complete.cases
{stats}
Find Complete Cases
group_by
{dplyr}
Group tibble/data.frame by a factor variable. All further tidyverse operations are performed group-wise
lm
{stats}
Fit linear models using least squares
read_excel
{readxl}
Read an Excel file
log
{base}
log (default base = e)
median
{stats}
Get median of a vector
str
{utils}
Get the structure of an R object
na.omit
{stats}
Remove missing values
sim_slopes
{interactions}
Perform simple slopes analysis for interaction effects.
mean
{base}
Get mean of a vector
factor
{base}
Create factor variables
list
{base}
Create a list object
order
{base}
Get indexes that will sort a vector
predict
{stats}
Generate predicted values from model objects
filter
{dplyr}
Filter out rows of a data frame according to logical vector
c
{base}
Combine values/vectors into a vector
seq
{base}
Create a sequence
mutate
{dplyr}
Create new variables
ifelse
{base}
Return a or b depending on the value of test
sqrt
{base}
Square-root function
binomial
{base}
Family argument in glm()
read.csv
{utils}
Read a csv file to data frame. Specify stringsAsFactors = FALSE to keep all string columns as characters
lag
{dplyr}
Shift values in a vector or time series
nrow
{base}
Get number of rows of a data frame
vcovSCC
{plm}
Computes Driscoll and Kraay (SCC) robust covariance matrix estimators for panel models
cut
{base}
Convert Numeric to Factor
library
{base}
Load an R package
summary
{base}
Obtain summary statistics or detailed regression output
length
{base}
Returns number of elements in an object
diag
{base}
Extract or construct diagonal elements or matrices
group_tt
{tinytable}
Grouping in tinytable
range
{base}
Return range of values
ls
{base}
Return a vector of character strings giving the names of the objects in the specified environment
View
{base}
View a data frame
t.test
{stats}
Performs one and two sample t-tests on vectors of data.
names
{base}
Get or set names of an object
head
{utils}
Show first 5 rows of a data frame
ordered
{dplyr}
Create an ordered factor
install.packages
{utils}
Install R packages
dnorm
{stats}
Density distribution for the normal distribution
nobs
{stats}
Return the number of observations in a model object
coeftest
{lmtest}
Inference for Estimated Coefficients
expression
{base}
Used in plots to add symbols to axes
ungroup
{dplyr}
Resolve grouping created with “group_by”
modelsummary
{modelsummary}
Creates regression and data tables
data.frame
{base}
Create a data.frame from vectors
rm
{base}
Remove objects
min
{base}
Get minimum of a vector
pdata.frame
{plm}
Creates a panel data frame, the data structure used by the plm package for panel/longitudinal data
glm
{base}
Fits generalized linear models
theme_latex
{tinytable}
A theme for modelsummary/tinytable tables
max
{base}
Get maximum of a vector
quantile
{stats}
Obtain empirical quantiles of a vector
var
{stats}
Calculate variance
plm
{plm}
Estimates linear panel data models (fixed effects, random effects, pooling, between, first-differences)
The end!