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