All Functions Used on PO33Q

dnorm

{stats}

Density distribution for the normal distribution

sample

{base}

Takes a sample of the specified size

seq

{base}

Create a sequence

unlist

{base}

Flattens a list into a vector by extracting all its elements

ifelse

{base}

Return a or b depending on the value of test

var

{stats}

Calculate variance

as.character

{base}

Coerce a vector to character

length

{base}

Returns number of elements in an object

tibble

{tibble}

A modern data frame from the tidyverse

is.na

{base}

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

lag

{dplyr}

Shift values in a vector or time series

order

{base}

Get indexes that will sort a vector

data.frame

{base}

Create a data.frame from vectors

min

{base}

Get minimum of a vector

grid.arrange

{gridExtra}

Places graphical objects into a rectangular grid

complete.cases

{stats}

Find Complete Cases

read_dta

{haven}

Read a .dta file (Stata data)

median

{stats}

Get median of a vector

regTermTest

{regress}

Perform statistical tests for individual regression coefficients

subset

{base}

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

ggsave

{ggplot2}

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

as.numeric

{base}

Coerce a vector to numeric

arrange

{dplyr}

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

sd

{stats}

Get standard deviation of a vector

read_excel

{readxl}

Read an Excel file

nobs

{gdata}

Compute the number of non-missing observations

head

{utils}

Show first 5 rows of a data frame

factor

{base}

Create a factor

nrow

{base}

Get number of rows of a data frame

names

{base}

Retrieve names of a list/vector

ungroup

{dplyr}

Resolve grouping created with “group_by”

roc

{pRoc}

Create a Receiver Operating Characteristic (ROC) curve

read.csv

{utils}

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

c

{base}

Combine values/vectors into a vector

str

{utils}

Get the structure of an R object

filter

{dplyr}

Filter out rows of a data frame according to logical vector

range

{base}

Return range of values

cut

{base}

Convert Numeric to Factor

summary

{base}

Obtain summary statistics or detailed regression output

auc

{pRoc}

Returns the area under the curve

expression

{base}

Used in plots to add symbols to axes

mean

{base}

Get mean of a vector

binomial

{base}

Family argument in glm()

group_by

{dplyr}

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

rnorm

{base}

Generate random numbers from a normal distribution

setwd

{base}

Set Working Directory

lm

{base}

Fit a linear model

rbind

{base}

Combine R objects by rows

glm

{base}

Fits generalized linear models

ls

{base}

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

predict

{stats}

Predict Probability

par

{graphics}

Set parameters of the plotting device

select

{dplyr}

Select columns from a tibble/data frame

list

{base}

Create a list object

pnorm

{base}

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

group_tt

{tinytable}

Grouping in tinytable

bar

{base}

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

ordered

{dplyr}

Create an ordered factor

quantile

{stats}

Obtain empirical quantiles of a vector

max

{base}

Get maximum of a vector

log

{base}

log (default base = e)

plot

{graphics}

Generic function from base R to produce a plot

rm

{base}

Remove objects

as.data.frame

{base}

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

which

{base}

return indexes of TRUE entries of a logical vector

modelsummary

{modelsummary}

Creates regression and data tables

library

{base}

Load an R package

mutate

{dplyr}

Modify/create a column in a data frame

attr

{base}

Access or modify the attributes of an object

The end!