All Functions of Week 3

group_tt

{tinytable}

Grouping in tinytable

data.frame

{base}

Create a data.frame from vectors

arrange

{dplyr}

Sort values of data frame according to a variable/combination of varaibles

ungroup

{dplyr}

Resolve grouping created with “group_by”

predict

{stats}

Predict Probability

ggsave

{ggplot2}

Saves the last ggplot or a specified ggplot object to a file

c

{base}

Combine values/vectors into a vector

library

{base}

Load an R package

read.csv

{utils}

Read a csv file to data frame. Specify stringsAsFactors = FALSE to keep all string columns as characters

summary

{base}

Obtain summary statistics or detailed regression output

nrow

{base}

Get number of rows of a data frame

glm

{base}

Fits generalized linear models

seq

{base}

Create a sequence

tibble

{tibble}

A modern data frame from the tidyverse

group_by

{dplyr}

Group tibble/data.frame by a factor variable. All further tidyverse operations are performed group-wise

max

{base}

Get maximum of a vector

modelsummary

{modelsummary}

Creates regression and data tables

list

{base}

Create a list object

order

{base}

Get indexes that will sort a vector

dnorm

{stats}

Density distribution for the normal distribution

filter

{dplyr}

Filter out rows of a data frame according to logical vector

mutate

{dplyr}

Modify/create a column in a data frame

binomial

{base}

Family argument in glm()

expression

{base}

Used in plots to add symbols to axes

min

{base}

Get minimum of a vector

pnorm

{base}

Returns the cumulative distribution function (CDF) of the normal distribution

The end!