ungroup
{dplyr}
Resolve grouping created with “group_by”
modelsummary
{modelsummary}
Creates regression and data tables
predict
{stats}
Predict Probability
group_tt
{tinytable}
Grouping in tinytable
list
{base}
Create a list object
binomial
{base}
Family argument in glm()
glm
{base}
Fits generalized linear models
arrange
{dplyr}
Sort values of data frame according to a variable/combination of varaibles
order
{base}
Get indexes that will sort a vector
group_by
{dplyr}
Group tibble/data.frame by a factor variable. All further tidyverse operations are performed group-wise
tibble
{tibble}
A modern data frame from the tidyverse
pnorm
{base}
Returns the cumulative distribution function (CDF) of the normal distribution
nrow
{base}
Get number of rows of a data frame
The end!