All Functions Used So Far, Week 2

summary

{base}

Obtain summary statistics or detailed regression output

data.frame

{base}

Create a data.frame from vectors

cut

{base}

Convert Numeric to Factor

median

{stats}

Get median of a vector

c

{base}

Combine values/vectors into a vector

nobs

{stats}

Return the number of observations in a model object

as.data.frame

{base}

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

min

{base}

Get minimum of a vector

seq

{base}

Create a sequence

is.na

{base}

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

str

{utils}

Get the structure of an R object

length

{base}

Returns number of elements in an object

bar

{base}

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

sample

{base}

Takes a sample of the specified size

read_excel

{readxl}

Read an Excel file

setwd

{base}

Set Working Directory

mean

{base}

Get mean of a vector

sd

{stats}

Get standard deviation of a vector

max

{base}

Get maximum of a vector

ordered

{dplyr}

Create an ordered factor

var

{stats}

Calculate variance

which

{base}

return indexes of TRUE entries of a logical vector

range

{base}

Return range of values

as.character

{base}

Coerce a vector to character

head

{utils}

Show first 5 rows of a data frame

subset

{base}

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

mutate

{dplyr}

Create new variables

library

{base}

Load an R package

log

{base}

log (default base = e)

rnorm

{base}

Generate random numbers from a normal distribution

par

{graphics}

Set parameters of the plotting device

names

{base}

Get or set names of an object

ifelse

{base}

Return a or b depending on the value of test

filter

{dplyr}

Filter out rows of a data frame according to logical vector

read.csv

{utils}

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

expression

{base}

Used in plots to add symbols to axes

dnorm

{stats}

Density distribution for the normal distribution

lm

{stats}

Fit linear models using least squares

plot

{graphics}

Generic function from base R to produce a plot

The end!