All Functions Used So Far, Week 7

rename

{dplyr}

Renames columns in a data frame or tibble.

set.seed

{base}

Initialise a pseudorandom number generator.

summary

{base}

Obtain summary statistics or detailed regression output

with

{base}

evaluate expression in the context of a data frame

select

{dplyr}

Select columns from a tibble/data frame

geom_vline

{GGPLOT2}

Draws a vertical line

ggtitle

{GGPLOT2}

Generates a title for a ggplot graph

is.na

{base}

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

ylab

{GGPLOT2}

Label the y axis (ggplot)

min

{base}

Get minimum of a vector

names

{base}

Retrieve names of a list/vector

ggsave

{ggplot2}

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

geom_smooth

{GGPLOT2}

Generates a smoothed conditional means curve / line

modelsummary

{modelsummary}

Creates regression and data tables

attach

{base}

Attach Set of R Objects to Search Path

t.test

{stats}

Performs one and two sample t-tests on vectors of data.

c

{base}

Combine values/vectors into a vector

geom_hline

{GGPLOT2}

Add a horizontal line in GGPLOT2

slice_sample

{dplyr}

Randomly selects rows from a data frame or tibble.

round

{base}

Rounds numbers

colnames

{base}

Retrieve column names of a data frame

geom_point

{GGPLOT2}

Generates a scatter plot

nrow

{base}

Get number of rows of a data frame

mean

{base}

Get mean of a vector

class

{base}

Retrieve class of an R object

dim

{base}

Get dimensions of a data frame

ungroup

{dplyr}

Resolve grouping created with “group_by”

list

{base}

Create a list object

group_tt

{tinytable}

Grouping in tinytable

library

{base}

Load an R package

ggplot

{GGPLOT2}

Create a ggplot graph

theme

{GGPLOT2}

Set theme for GGPLOT2

aes

{GGPLOT2}

Construct aesthetic mapping of a ggplot graph

prop.test

{stats}

Test of Equal or Given Proportions

element_text

{GGPLOT2}

Customise text in GGPLOT2

read_excel

{readxl}

Read an Excel file

ordered

{dplyr}

Create an ordered factor

confint

{stats}

Calculate confidence Intervals for Model Parameters

filter

{dplyr}

Filter out rows of a data frame according to logical vector

chisq.test

{stats}

Chi-Squared test (e.g. for cross-tabulations)

xlab

{GGPLOT2}

Label the x axis (ggplot)

element_blank

{GGPLOT2}

This theme element draws nothing, and assigns no space

labs

{GGPLOT2}

Customise labels in GGPLOT2

scale_x_continuous

{GGPLOT2}

Customise continuous x axis

data.frame

{base}

Create a data.frame from vectors

setwd

{base}

Set Working Directory

group_by

{dplyr}

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

cut

{base}

Convert Numeric to Factor

lm

{base}

Fit a linear model

median

{stats}

Get median of a vector

element_line

{GGPLOT2}

Customise line appearance

leveneTest

{car}

Computes Levene’s test for homogeneity of variance across groups.

table

{base}

Obtain frequency table of a variable/cross-tabulation of two variables

read.csv

{utils}

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

scale_y_continuous

{GGPLOT2}

Customise continuous y axis

theme_classic

{GGPLOT2}

A minimalistic theme with no gridlines

mutate

{dplyr}

Modify/create a column in a data frame

The end!