All Functions Used So Far, Week 9

geom_point

{GGPLOT2}

Generates a scatter plot

as.character

{base}

Coerce a vector to character

theme_classic

{GGPLOT2}

A minimalistic theme with no gridlines

dim

{base}

Get dimensions of a data frame

element_line

{GGPLOT2}

Customise line appearance

matrix

{base}

Creates a matrix from the given set of values.

theme

{GGPLOT2}

Customize ggplot themes

scale_x_continuous

{GGPLOT2}

Customise continuous x axis

with

{base}

evaluate expression in the context of a data frame

replace

{base}

Replace elements in a vector

element_blank

{GGPLOT2}

This theme element draws nothing, and assigns no space

ggsave

{GGPLOT2}

Save a ggplot to file

list

{base}

Create a list object

factor

{base}

Create a factor

c

{base}

Combine values/vectors into a vector

levels

{base}

Get levels of a factor

ls

{base}

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

class

{base}

Retrieve class of an R object

library

{base}

Load an R package

ggplot

{GGPLOT2}

Create a ggplot graph

scale_color_discrete

{GGPLOT2}

Customise the discrete colour scale

filter

{dplyr}

Filter out rows of a data frame according to logical vector

setwd

{base}

Set Working Directory

correlation_matrix

{corrtable}

Create a formatted correlation matrix of variables

geom_histogram

{GGPLOT2}

Generates a histogram

save_tt

{tinytable}

Save a tinytable object to a file

cut

{base}

Convert Numeric to Factor

fct_relevel

{forcats}

Reorder factor levels by hand

colnames

{base}

Retrieve column names of a data frame

predict

{stats}

Generate predicted values from model objects

ylab

{GGPLOT2}

Label the y axis (ggplot)

data.frame

{base}

Create a data.frame from vectors

ifelse

{base}

Return a or b depending on the value of test

theme_latex

{tinytable}

A theme for modelsummary/tinytable tables

save_plot

{cowplot}

Save a plot to a file

which

{base}

return indexes of TRUE entries of a logical vector

lm

{stats}

Fit linear models using least squares

read_excel

{readxl}

Read an Excel file

ggtitle

{GGPLOT2}

Generates a title for a ggplot graph

scale_y_continuous

{GGPLOT2}

Customise continuous y axis

print

{base}

Print object to the console

t.test

{stats}

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

recode

{dplyr}

Recode a variable

subset

{base}

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

mutate

{dplyr}

Create new variables

as.integer

{base}

Convert an object to integer values

sd

{stats}

Get standard deviation of a vector

names

{base}

Get or set names of an object

factor

{base}

Create factor variables

prop.table

{base}

Transform frequency table into table of proportions

datasummary

{modelsummary}

Create customizable summary-statistics tables

coord_flip

{GGPLOT2}

Flip the x and y axes of a graph

vdem

{vdemdata}

V-Dem country-year dataset

quantile

{stats}

Obtain empirical quantiles of a vector

select

{dplyr}

Select columns from a tibble/data frame

labs

{GGPLOT2}

Customise labels in GGPLOT2

attach

{base}

Attach Set of R Objects to Search Path

complete.cases

{stats}

Find Complete Cases

pwr.r.test

{pwr}

Power analysis for correlation tests

as.numeric

{base}

Coerce a vector to numeric

summary

{base}

Obtain summary statistics or detailed regression output

geom_hline

{GGPLOT2}

Add a horizontal line in GGPLOT2

is.na

{base}

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

median

{stats}

Get median of a vector

geom_jitter

{GGPLOT2}

Add randomly displaced points to reduce overplotting

xlab

{GGPLOT2}

Label the x axis (ggplot)

confint

{stats}

Calculate confidence Intervals for Model Parameters

table

{base}

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

modelsummary

{modelsummary}

Creates regression and data tables

str

{utils}

Get the structure of an R object

group_tt

{tinytable}

Grouping in tinytable

arrange

{dplyr}

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

round

{base}

Rounds numbers

cor.test

{stats}

Test for Association/Correlation Between Paired Samples

sapply

{base}

Apply a function over a vector or list and simplify the result

sum

{base}

Get sum of numeric values or a vector

droplevels

{base}

Drop Unused Levels from Factors

geom_vline

{GGPLOT2}

Draws a vertical line

geom_smooth

{GGPLOT2}

Generates a smoothed conditional means curve / line

geom_bar

{GGPLOT2}

Generates a bar chart

order

{base}

Get indexes that will sort a vector

reorder

{stats}

Reorder Levels of Factor based on the values of a second variable, usually numeric.

group_by

{dplyr}

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

chisq.test

{stats}

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

margin

{GGPLOT2}

Set margins around plot elements (used inside theme elements)

read.csv

{utils}

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

log

{base}

log (default base = e)

rm

{base}

Remove objects

as.factor

{base}

Coerce a vector to factor

relevel

{stats}

Set a reference level for a factor variable

mean

{base}

Get mean of a vector

element_text

{GGPLOT2}

Customise text in GGPLOT2

write.csv

{utils}

write a csv file to a data frame

summarise

{dplyr}

collapse the dataset to a summary statistic. Usually used with group_by()

read_csv

{readr}

Read CSV files

aes

{GGPLOT2}

Construct aesthetic mapping of a ggplot graph

head

{utils}

Show first 5 rows of a data frame

plotPlane

{rockchalk}

Draw a 3-D regression plot for two predictors

after_stat

{GGPLOT2}

Control aesthetic evaluation. On the module used for displying percent

The end!