All Functions of Week 2

par

{graphics}

Set parameters of the plotting device

sample

{base}

Takes a sample of the specified size

as.data.frame

{base}

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

mean

{base}

Get mean of a vector

lm

{stats}

Fit linear models using least squares

subset

{base}

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

c

{base}

Combine values/vectors into a vector

library

{base}

Load an R package

which

{base}

return indexes of TRUE entries of a logical vector

seq

{base}

Create a sequence

rnorm

{base}

Generate random numbers from a normal distribution

summary

{base}

Obtain summary statistics or detailed regression output

plot

{graphics}

Generic function from base R to produce a plot

ifelse

{base}

Return a or b depending on the value of test

log

{base}

log (default base = e)

as.character

{base}

Coerce a vector to character

expression

{base}

Used in plots to add symbols to axes

bar

{base}

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

read.csv

{utils}

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

nobs

{stats}

Return the number of observations in a model object

data.frame

{base}

Create a data.frame from vectors

filter

{dplyr}

Filter out rows of a data frame according to logical vector

dnorm

{stats}

Density distribution for the normal distribution

The end!