seq
{base}
Create a sequence
group_by
{dplyr}
Group tibble/data.frame by a factor variable. All further tidyverse operations are performed group-wise
stat_ecdf
{GGPLOT2}
Compute empirical cumulative distribution
str
{utils}
Get the structure of an R object
theme_classic
{GGPLOT2}
A minimalistic theme with no gridlines
geom_histogram
{GGPLOT2}
Generates a histogram
prop.test
{stats}
Test of Equal or Given Proportions
set.seed
{base}
Initialise a pseudorandom number generator.
sqrt
{stats}
Square root
summarise
{dplyr}
collapse the dataset to a summary statistic. Usually used with group_by()
complete.cases
{stats}
Find Complete Cases
boxplot
{graphics}
Plot a simple box plot
names
{base}
Retrieve names of a list/vector
table
{base}
Obtain frequency table of a variable/cross-tabulation of two variables
head
{utils}
Show first 5 rows of a data frame
spread
{tidyr}
Spread a key-value pair across multiple columns
read_dta
{haven}
Read a .dta file (Stata data)
max
{base}
Get maximum of a vector
geom_segment
{GGPLOT2}
Generates a line segment or curve
scale_x_continuous
{GGPLOT2}
Customise continuous x axis
labs
{GGPLOT2}
Customise labels in GGPLOT2
levels
{base}
Get levels of a factor
write_dta
NA
var
{stats}
Calculate variance
summary
{base}
Obtain summary statistics or detailed regression output
ggplot
{GGPLOT2}
Create a ggplot graph
aes
{GGPLOT2}
Construct aesthetic mapping of a ggplot graph
range
{base}
Return range of values
setwd
{base}
Set Working Directory
hist
{graphics}
Plot a simple histogram
sample_n
{dplyr}
Sample a number of observations from a data frame
recode
{dplyr}
Recode a variable
mutate
{dplyr}
Modify/create a column in a data frame
theme
{GGPLOT2}
Set theme for GGPLOT2
write.csv
{utils}
write a csv file to a data frame
min
{base}
Get minimum of a vector
save
{base}
Writes an external representation of R objects to the specified file.
c
{base}
Combine values/vectors into a vector
t.test
{stats}
Performs one and two sample t-tests on vectors of data.
median
{stats}
Get median of a vector
desc
{dplyr}
Arrange in descending order
read.csv
{utils}
Read a csv file to data frame. Specify stringsAsFactors = FALSE to keep all string columns as characters
geom_bar
{GGPLOT2}
Generates a bar chart
mean
{base}
Get mean of a vector
factor
{base}
Create a factor
is.na
{base}
Check if a value is NA/elements of vector are NA
with
{base}
evaluate expression in the context of a data frame
sum
{base}
Get sum of numeric values or a vector
scale_y_continuous
{GGPLOT2}
Customise continuous y axis
ifelse
{base}
Return a or b depending on the value of test
filter
{dplyr}
Filter out rows of a data frame according to logical vector
select
{dplyr}
Select columns from a tibble/data frame
separate
{dplyr}
Separate a character column into multiple columns
arrange
{dplyr}
Sort values of data frame according to a variable/combination of varaibles
slice
{dplyr}
Subset rows using their positions
element_text
{GGPLOT2}
Customise text in GGPLOT2
sd
{stats}
Get standard deviation of a vector
n
{dplyr}
The number of observations in the current group.
ecdf
{stats}
Compute an empirical cumulative distribution function
read_excel
{readxl}
Read an Excel file
summarize
NA
as.character
{base}
Coerce a vector to character
ylab
{GGPLOT2}
Label the y axis (ggplot)
ungroup
{dplyr}
Resolve grouping created with “group_by”
ordered
{dplyr}
Create an ordered factor
data.frame
{base}
Create a data.frame from vectors
library
{base}
Load an R package
cut
{base}
Convert Numeric to Factor
as.numeric
{base}
Coerce a vector to numeric
The end!