read_excel
{readxl}
Read an Excel file
select
{dplyr}
Select columns from a tibble/data frame
geom_histogram
{GGPLOT2}
Generates a histogram
cut
{base}
Convert Numeric to Factor
aes
{GGPLOT2}
Construct aesthetic mapping of a ggplot graph
theme_classic
{GGPLOT2}
A minimalistic theme with no gridlines
rm
{base}
Remove objects
read.spss
{foreign}
Read a .sav file (SPSS data)
hist
{graphics}
Plot a simple histogram
range
{base}
Return range of values
recode
{dplyr}
Recode a variable
summary
{base}
Obtain summary statistics or detailed regression output
median
{stats}
Get median of a vector
mutate
{dplyr}
Modify/create a column in a data frame
geom_bar
{GGPLOT2}
Generates a bar chart
names
{base}
Retrieve names of a list/vector
table
{base}
Obtain frequency table of a variable/cross-tabulation of two variables
sum
{base}
Get sum of numeric values or a vector
desc
{dplyr}
Arrange in descending order
rbind
{base}
Combine R objects by rows
install.packages
{base}
Install R package
ls
{base}
Return a vector of character strings giving the names of the objects in the specified environment
ordered
{dplyr}
Create an ordered factor
mean
{base}
Get mean of a vector
factor
{base}
Create a factor
min
{base}
Get minimum of a vector
var
{stats}
Calculate variance
scale_x_continuous
{GGPLOT2}
Customise continuous x axis
boxplot
{graphics}
Plot a simple box plot
max
{base}
Get maximum of a vector
ungroup
{dplyr}
Resolve grouping created with “group_by”
plot
{graphics}
Generic function from base R to produce a plot
seq
{base}
Create a sequence
attach
{base}
Attach Set of R Objects to Search Path
filter
{dplyr}
Filter out rows of a data frame according to logical vector
slice
{dplyr}
Subset rows using their positions
is.na
{base}
Check if a value is NA/elements of vector are NA
str
{utils}
Get the structure of an R object
class
{base}
Retrieve class of an R object
sd
{stats}
Get standard deviation of a vector
pie
{graphics}
Creates a basic pie chart
head
{utils}
Show first 5 rows of a data frame
subset
{base}
Return subsets of vectors, matrices or data frames which meet conditions.
summarise
{dplyr}
collapse the dataset to a summary statistic. Usually used with group_by()
setwd
{base}
Set Working Directory
ggplot
{GGPLOT2}
Create a ggplot graph
lprop
{questionr}
Display row percentages of a two-way frequency table
c
{base}
Combine values/vectors into a vector
ifelse
{base}
Return a or b depending on the value of test
freq
{questionr}
Generate frequency tables
cbind
{base}
Combine R objects by columns
labs
{GGPLOT2}
Customise labels in GGPLOT2
arrange
{dplyr}
Sort values of data frame according to a variable/combination of varaibles
library
{base}
Load an R package
group_by
{dplyr}
Group tibble/data.frame by a factor variable. All further tidyverse operations are performed group-wise
levels
{base}
Get levels of a factor
ggtitle
{GGPLOT2}
Generates a title for a ggplot graph
The end!