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