All Functions Used So Far, Week 5

filter

{dplyr}

Filter out rows of a data frame according to logical vector

is.na

{base}

Check if a value is NA/elements of vector are NA

which

{base}

return indexes of TRUE entries of a logical vector

seq

{base}

Create a sequence

ggsave

{ggplot2}

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

pnorm

{base}

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

group_tt

{tinytable}

Grouping in tinytable

order

{base}

Get indexes that will sort a vector

plot

{graphics}

Generic function from base R to produce a plot

factor

{base}

Create a factor

setwd

{base}

Set Working Directory

head

{utils}

Show first 5 rows of a data frame

data.frame

{base}

Create a data.frame from vectors

quantile

{stats}

Obtain empirical quantiles of a vector

max

{base}

Get maximum of a vector

var

{stats}

Calculate variance

read_excel

{readxl}

Read an Excel file

binomial

{base}

Family argument in glm()

names

{base}

Retrieve names of a list/vector

expression

{base}

Used in plots to add symbols to axes

predict

{stats}

Predict Probability

rm

{base}

Remove objects

dnorm

{stats}

Density distribution for the normal distribution

bar

{base}

Used for annotations, such as “expression(paste(”-“,bar(y)))”

length

{base}

Returns number of elements in an object

min

{base}

Get minimum of a vector

sd

{stats}

Get standard deviation of a vector

lm

{base}

Fit a linear model

arrange

{dplyr}

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

median

{stats}

Get median of a vector

as.data.frame

{base}

Functions to check if an object is a data frame, or coerce it if possible.

as.character

{base}

Coerce a vector to character

log

{base}

log (default base = e)

subset

{base}

Return subsets of vectors, matrices or data frames which meet conditions.

par

{graphics}

Set parameters of the plotting device

group_by

{dplyr}

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

mean

{base}

Get mean of a vector

read.csv

{utils}

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

library

{base}

Load an R package

sample

{base}

Takes a sample of the specified size

nrow

{base}

Get number of rows of a data frame

range

{base}

Return range of values

complete.cases

{stats}

Find Complete Cases

ls

{base}

Return a vector of character strings giving the names of the objects in the specified environment

ungroup

{dplyr}

Resolve grouping created with “group_by”

c

{base}

Combine values/vectors into a vector

rnorm

{base}

Generate random numbers from a normal distribution

summary

{base}

Obtain summary statistics or detailed regression output

tibble

{tibble}

A modern data frame from the tidyverse

ordered

{dplyr}

Create an ordered factor

nobs

{gdata}

Compute the number of non-missing observations

cut

{base}

Convert Numeric to Factor

str

{utils}

Get the structure of an R object

modelsummary

{modelsummary}

Creates regression and data tables

glm

{base}

Fits generalized linear models

list

{base}

Create a list object

ifelse

{base}

Return a or b depending on the value of test

mutate

{dplyr}

Modify/create a column in a data frame

The end!