All Functions Used So Far, Week 8

scale_y_continuous

{GGPLOT2}

Customise continuous y axis

round

{base}

Rounds numbers

cut

{base}

Convert Numeric to Factor

t.test

{stats}

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

ggplot

{GGPLOT2}

Create a ggplot graph

c

{base}

Combine values/vectors into a vector

table

{base}

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

select

{dplyr}

Select columns from a tibble/data frame

attach

{base}

Attach Set of R Objects to Search Path

scale_x_continuous

{GGPLOT2}

Customise continuous x axis

mean

{base}

Get mean of a vector

list

{base}

Create a list object

prop.test

{stats}

Test of Equal or Given Proportions

group_by

{dplyr}

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

theme

{GGPLOT2}

Set theme for GGPLOT2

geom_point

{GGPLOT2}

Generates a scatter plot

theme_latex

{tinytable}

A theme for modelsummary/tinytable tables

ungroup

{dplyr}

Resolve grouping created with “group_by”

group_tt

{tinytable}

Grouping in tinytable

is.na

{base}

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

mutate

{dplyr}

Modify/create a column in a data frame

min

{base}

Get minimum of a vector

geom_vline

{GGPLOT2}

Draws a vertical line

rename

{dplyr}

Renames columns in a data frame or tibble.

element_text

{GGPLOT2}

Customise text in GGPLOT2

class

{base}

Retrieve class of an R object

element_line

{GGPLOT2}

Customise line appearance

chisq.test

{stats}

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

labs

{GGPLOT2}

Customise labels in GGPLOT2

slice_sample

{dplyr}

Randomly selects rows from a data frame or tibble.

colnames

{base}

Retrieve column names of a data frame

names

{base}

Retrieve names of a list/vector

read.csv

{utils}

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

modelsummary

{modelsummary}

Creates regression and data tables

aes

{GGPLOT2}

Construct aesthetic mapping of a ggplot graph

plotPlane

{rockchalk}

Draw a 3-D regression plot for two predictors

geom_smooth

{GGPLOT2}

Generates a smoothed conditional means curve / line

rm

{base}

Remove objects

leveneTest

{car}

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

geom_hline

{GGPLOT2}

Add a horizontal line in GGPLOT2

filter

{dplyr}

Filter out rows of a data frame according to logical vector

element_blank

{GGPLOT2}

This theme element draws nothing, and assigns no space

with

{base}

evaluate expression in the context of a data frame

lm

{base}

Fit a linear model

median

{stats}

Get median of a vector

library

{base}

Load an R package

ordered

{dplyr}

Create an ordered factor

ylab

{GGPLOT2}

Label the y axis (ggplot)

dim

{base}

Get dimensions of a data frame

ggtitle

{GGPLOT2}

Generates a title for a ggplot graph

set.seed

{base}

Initialise a pseudorandom number generator.

ggsave

{ggplot2}

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

xlab

{GGPLOT2}

Label the x axis (ggplot)

data.frame

{base}

Create a data.frame from vectors

ls

{base}

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

confint

{stats}

Calculate confidence Intervals for Model Parameters

setwd

{base}

Set Working Directory

summary

{base}

Obtain summary statistics or detailed regression output

theme_classic

{GGPLOT2}

A minimalistic theme with no gridlines

nrow

{base}

Get number of rows of a data frame

read_excel

{readxl}

Read an Excel file

The end!