Glossary of functions used in flashr decks

term package description
- base subtraction
: base sequence of integers
:: base export variable from package for use
! base logical NOT
!= base not equal to
[] base subset elements of vector
* base multiplication
/ base division
& base logical AND
%*% base multiply matrix with its transpose
%/% base quotient
%% base remainder
%<>% magrittr assignment pipe
%>% magrittr pipe operator
%$% magrittr exposition pipe
%in% base identify if element is in vector
%T>% magrittr tee pipe
^ base exponent
+ base addition
< base less than
<- base assignment operator
<<- base assignment operator (in functions for global environment)
<= base less than or equal to
= base assignment operator
== base equal to
> base greater than
>= base greater than or equal to
| base logical OR
|> base pipe operator (base R)
abs() base calculate absolute value
accumulate() purrr accumulate intermediate result of vector reduction
across() dplyr apply transformation across multiple columns
add_predictions() modelr add predictions to a data frame
add_residuals() modelr add residuals to a data frame
add_row() tibble add rows to data frame
aes() ggplot2 create aesthetic mappings between data and plot
after_stat() ggplot2 evaluate aesthetic mapping after statistical transformation
all() base assess whether conditional is true for all elements of a vector
annotate() ggplot2 annotate plot independent of data
anti_join() dplyr join two data sets dropping all observations in x that have a match in y
any_of() tidyselect check if any any elements are found in vector
any() base assess whether conditional is true for any elements of a vector
apply() base apply a function to multiple elements of an object in base R
apropos() utils return vector of object names matching pattern
apropros() utils returns a character vector giving the names of objects in the search list matching (as a regular expression)
arrange() dplyr change order of rows based on values of columns
arrow() grid plot arrows
as_date() lubridate convert object to date
as_datetime() lubridate convert object to date-time
as_tibble() tibble coerce object into tibble
as.character() base coerce object to character
as.data.frame() base coerce object into data frame
as.Date.character() base convert from character to date
as.Date.factor() base convert from factor to date
as.Date() base convert to date
as.double() base coerce to double
as.factor() base coerce object to factor
as.integer() base coerce to integer
as.logical() base coerce to logical
as.numeric() base coerce object to numeric
assign() base assign a value to a name
attr() base return or set individual attribute values
attributes() base return all attributes of vector, matrix,
data frame, etc.
augment() generics augment data with information from an object
beamer_presentation() rmarkdown create beamer presentation from R markdown file
between() dplyr determine if values in a numeric vector fall in specified range
bind_cols() dplyr bind columns in dplyr
bind_rows() dplyr bind rows in dplyr
boundary() stringr match boundaries within strings
c() base create vector of numbers, characters, etc.
case_when() dplyr conditionally set values across multiple conditions
ceiling_date() lubridate round data-time up to ceiling
ceiling() base round up to nearest integer
charToRaw() base converts a length-one character string to raw bytes
class() base return object class
clean_cache() knitr clear out code chunk cache
clean_names() janitor clean data frame column names to be unique and consistent of only characters, numbers and _
coalesce() dplyr combine vectors by returning the first non-missing value at each position
coef() stats extract model coefficients from object
coll() stringr compare strings respecting standard collation rules
collect() dplyr retrieve data from a database into a local tibble
colnames() base retrieve or set column names
colors() grDevices returns vector of color names in R
column_to_rowname() tibble convert a column of data to row names
complete() tidyr complete a data frame with missing combinations of data
consecutive_id() dplyr generate a unique identifier for consecutive combinations
contains() tidyselect match column names that contain string
coord_cartesian() ggplot2 use Cartesian coordinates
coord_fixed() ggplot2 force aspect ratio between data units on axes
coord_flip() ggplot2 switch x and y axes
coord_map() ggplot2 project a map of a portion of the earth onto a flat 2D plane
coord_polar() ggplot2 use polar coordinates
coord_quickmap() ggplot2 set aspect ratio correctly for maps
cor() stats compute the correlation of two vectors
count() dplyr count unique values of variables
count() plyr count unique values of variables
cume_dist() dplyr cumulative distribution function giving proportion of all values less than or equal to the current rank
cummax() base calculate the cumulative maxima of a vector
cummean() dplyr calculate cumulative means for a vector
cummin() base calculate the cumulative minima of a vector
cumprod() base calculate the cumulative products of a vector
cumsum() base calculate the cumulative sums of a vector
cut_interval() ggplot2 create n groups with equal range
cut_number() ggplot2 cut data into groups of equal numbers of observations
cut_width() ggplot2 cut data into groups of a particular width
cut() base divide range of vector into intervals
data_grid() modelr generate a data grid
data.frame() base create data frame
data() utils load specific data set
date_names_langs() readr retrieve weekdays and months of a specific language
date_names() readr specify how weekdays and months are represented
day() lubridate get days component of date-time
days() lubridate specify the number of days to be used in dates
dbConnect() DBI create connection to database
dbFetch() DBI fetch the next n elements from a database results set and return as data frame
dbGetQuery() DBI return results of database query as data frame
dbHasCompleted() DBI return if database operation has completed
dbReadTable() DBI read database table to data frame
dbSendQuery() DBI submit and execute SQL query to database engine
dbWriteTable() DBI write a data frame to database table
dense_rank() dplyr rank vector elements with no gaps between ranks
desc() dplyr order in descending order
detect_index() purrr find the position of the first match
detect() purrr return value of first matching element
dim() base return dimensions of matrix, data frame, etc.
dir_ls() fs return filenames and directories in named directory
dir() base return directories in named directory
discard() purrr discard elements using a predicate function
distinct() dplyr select only unique/distinct rows from data frame
dmonths() lubridate calculate duration of months in seconds and weeks
dmy() lubridate parse dates as day, month, year
dnorm() stats generate density for normal distribution
double() base create a double-precision vector
dput() base write an ASCII text representation of object
drop_na() tidyr drop rows containing missing values
duckdb_read_csv() duckdb read a CSV file into DuckDB
duckdb_register_arrow() duckdb register an Arrow data source as a virtual table in a DuckDB connection
duplicated() base determine which elements of a vector or data frame are duplicates
Encoding() base read the declared encodings for character vector
ends_with() tidyselect match column names that end with string
enframe() tibble convert vectors to data frame
every() purrr determine if all elements meet predicate function conditional
everything() tidyselect select all variables
excel_sheets() readxl return the sheet names from an Excel spreadsheet
exp() base compute exponential function
expand() tidyr expand data frame to include all possible combinations of values
facet_grid() ggplot2 create grid of subplots from multiple variables
facet_wrap() ggplot2 create subplots from one variable
factor() base encode vector as factor
fct_collapse() forcats collapse factors into manually defined groups
fct_infreq() forcats reorder factor levels in the order of most to least frequent
fct_inorder() forcats reorder factor levels in the order that they first appear
fct_lump_lowfreq() forcats lump together least frequent levels of a factor
fct_lump_min() forcats lump factor levels that appear fewer than a certain number of times
fct_lump_n() forcats lump all factor levels except the most frequent
fct_lump_prop() forcats lump factor levels that appear fewer than a certain proportion of times
fct_lump() forcats lump together factor levels into ‘other’
fct_recode() forcats change factor levels by hand
fct_relevel() forcats reorder factor levels by hand
fct_reorder() forcats reorder factor levels by sorting along another variable
fct_reorder2() forcats reorder factor levels by sorting along another variable with two dimensions
fct_rev() forcats reverse order of factor levels
file.info() base extract file information
fill() tidyr fill in missing values
filter() dplyr keep rows based on values of columns
fixed() stringr compare literal bytes in a string
flatten_dbl() purrr flatten a list into an atomic vector in purrr
floor_date() lubridate round date-time down to floor
floor() base round down to nearest integer
for() base control flow with for loop
force_tz() lubridate replace time zone to create new date-time
format() base format object for pretty printing
fread() data.table read delimited files
fromJSON() jsonlite convert JSON data to R object
full_join() dplyr join two data sets keeping the observations in both
fwf_positions() readr specify fields by positions
fwf_widths() readr specify fields by widths
gam() mgcv compute generalized additive model
gather_predictions() modelr add predictions and pivot longer
geom_abline() ggplot2 add vertical, horizontal, or diagonal reference lines
geom_bar() ggplot2 create bar chart based on counts in data
geom_bin_2d() ggplot2 create heatmap of two dimensional bin counts
geom_boxplot() ggplot2 add layer of boxplots to plot
geom_col() ggplot2 create bar chart based on values in data
geom_count() ggplot2 add layer of points sized by count of overlapping points to plot
geom_freqpoly() ggplot2 create frequency polygon
geom_hex() ggplot2 create heatmap of bin counts using hexagons
geom_histogram() ggplot2 create histogram of counts as bars
geom_hline() ggplot2 plot horizontal reference line
geom_jitter() ggplot2 add layer of jittered points to plot
geom_label() ggplot2 adds text in rectangle to plot
geom_line() ggplot2 add layer of data lines to plot
geom_lv() lvplot create letter value box plot
geom_point() ggplot2 add layer of points to plot
geom_polygon() ggplot2 add layer of polygons to plot
geom_rect() ggplot2 plot rectangle
geom_ref_line() modelr add reference line to plot
geom_segment() ggplot2 plot line segment
geom_smooth() ggplot2 create smoothed lines to plot
geom_text() ggplot2 adds text to plot
geom_tile() ggplot2 create tile plot using center of rectangle and size
geom_violin() ggplot2 create violin plot
geom_vline() ggplot2 plot vertical reference line
get() base search by name for an object
getS3method() utils return a method for S3 generic function
getwd() base return working directory
ggplot() ggplot2 create a plotting area
ggsave() ggplot2 save a ggplot
glance() generics glance at an object
glm() stats compute generalized linear model
glmnet() glmnet compute generalized linear model via penalized maximum likelihood
glob2rx() utils change wildcard/globbing patterns into regular expressions
glue() glue combine expressions into character string
grepl() base search for all matches of pattern within each element of a character vector
group_by() dplyr group data by levels of column
gsub() base replace all matches of pattern within each element of a character vector
guess_encoding() readr guess encoding of file
guess_parser() readr return the name of the parser
guide_colourbar() ggplot2 control legend color bar
guide_legend() ggplot2 control legend formatting
guides() ggplot2 set guides for scale
head_while() purrr find first elements that satisfy predicate
head() utils return first rows of matrix, data frame, etc.
here() here locate files relative to your project root directory
hm() lubridate parse periods with hour and minute
hms() lubridate parse periods with hour, minute, and second
hoist() tidyr pull components of a list-column out into their own top-level columns
hour() lubridate return or set hour component of a date-time
html_document() rmarkdown create HTML document from R markdown file
I() base inhibit interpretation/conversion of objects
identical() base safe and reliable way to test if two objects are exactly equal
if_all() dplyr apply function to columns and return TRUE if all values are TRUE
if_any() dplyr apply function to columns and return TRUE if any values are TRUE
if_else() dplyr vectorized if statement that checks conditionals and returns different outputs based on answer
ifelse() base conditionally set values
inner_join() dplyr join two data sets keeping the observations that they have in common
install.packages() utils install R packages
intersect() base return only observations in both x and y
invisible() base return invisible copy of object
invoke_map() purrr makes it easier to call lists of functions with lists of parameters
ioslides_presentation() rmarkdown create ioslides presentation from R markdown file
IQR() stats computes interquartile range
is_character() rlang tidyverse way to determine whether object is of type character
is_double() rlang tidyverse way to determine whether object is of type double
is_integer() rlang tidyverse way to determine whether object is of type integer
is_list() rlang tidyverse way to determine whether object is of type list
is_logical() rlang tidyverse way to determine whether object is of type logical
is_vector() rlang tidyverse way to determine whether object is of type vector
is.character() base determine if input is of type character
is.factor() base determine if input is of type factor
is.finite() base determines if numeric is finite
is.infinite() base determine whether elements of vector are infinite
is.na() base determine whether elements of vector are missing
is.nan() base determine whether elements of vector are not a number
is.numeric() base determine if input is of type numeric
is.vector() base check if object is vector
join_by() dplyr NA
kable() knitr create knitr table
keep() purrr keep elements using a predicate function
kmeans() stats perform k-means clustering on data matrix
labs() ggplot2 modify axis, legend, and plot labels
lag() dplyr find the previous values in a vector
lapply() base apply a function to multiple elements of an object and return a list
lead() dplyr find the next values in a vector
left_join() dplyr join two data sets keeping the observations in the left one
length() base return number of elements in a vector
lengths() base return length of each element of a list or vector
levels() base view and change factor levels
library() base load R packages
list() base create recursive vector (list)
lm() stats fit linear model
load() base load data sets written with save()
locale() readr capture or set default values for a country
loess() stats apply local polynomial regression fitting
log() base compute natural logarithm
log10() base compute base 10 logarithm
log2() base compute base 2 logarithm
make_clean_names() janitor clean vector of text to be unique and consistent of only characters, numbers and _
make_date() lubridate create object of class Date
make_datetime() lubridate create date-times from numeric representations
map_chr() purrr apply a function to multiple elements of an object in purrr, return a character vector
map_dbl() purrr apply a function to multiple elements of an object in purrr, return a double vector
map_df() purrr apply a function to multiple elements of an object in purrr, return a data frame
map_int() purrr apply a function to multiple elements of an object in purrr, return a integer vector
map_lgl() purrr apply a function to multiple elements of an object in purrr, return a logical vector
map() purrr apply a function to multiple elements of an object in purrr, return a list
map2() purrr apply a function to multiple elements over two vectors in parallel
match() base return vector of positions of first matches of pattern
matches() tidyselect select helper that matches a regular expression
matrix() base create matrix of numbers, characters, etc.
max() base compute maxima of input values
mday() lubridate extract day number of month
mdy_hm() lubridate parse month, day, year and hour, minute
mdy_hms() lubridate parse month, day, year and hour, minute, second
mdy() lubridate parse dates as month, day, year
mean() base calculate mean of elements of vector
median() stats compute sample median
merge() base join two data sets
methods() utils return all available methods for function
min_rank() dplyr rank vector elements with ties set to minimum
min() base compute minima of input values
minute() lubridate return or set minute component of a date-time
mode() base get or set the storage mode of an object
model_matrix() modelr construct a design matrix
month() lubridate return or set month component of a date-time
months() lubridate specify the number of months to be used in dates
mutate() dplyr create or modify data columns
mvrnorm() MASS produce samples from multivariate normal distribution
n() dplyr return current group size
n_distinct() dplyr count unique combinations
na_if() dplyr replace values with NA
names() base return (and can assign) column names
ncol() base return number of columns in matrix, data frame, etc.
near() dplyr compare if two vectors of floating point numbers are equal (with a built-in tolerance)
nest() tidyr creates nested list structure
nesting() tidyr expand data frame to include combinations of values present in data
nobs() stats extract number of observations from model fit
now() lubridate return current date and time
nrow() base return number of rows in matrix, data frame, etc.
ns() splines generate basis matrix for natural cubic splines
ntile() dplyr rough rank, which breaks vector into buckets
num_range() tidyselect match column names with number range
numericInput() shiny allow numeric input in Shiny
obj_size() lobstr compute the size of an object
object_size() pryr compute size of object
object.size() utils estimate memory required to store an object
OlsonNames() base return vector of all time zone names
optim() stats apply optimization algorithm
opts_chunk() knitr set options for R code chunks
order_by() dplyr control ordering of window functions
order() base return index of sorted vector (base R)
ordered() base created ordered factor
parse_character() readr parse a character vector to characters
parse_date() readr parse date
parse_datetime() readr parse date/time
parse_double() readr parse a character vector to doubles
parse_factor() readr parse a character vector to factors
parse_guess() readr parse the column based on the guessed type
parse_integer() readr parse a character vector to integers
parse_json() jsonlite create JSON file from string
parse_logical() readr parse a character vector to logicals
parse_number() readr parse a character vector to numbers
parse_time() readr parse time
paste() base concatenate character vectors with space between elements
paste0() base concatenate character vectors with no space between elements
pdf_document() rmarkdown create PDF document from R markdown file
percent_rank() dplyr rescale rank between 0 and 1
pivot_longer() tidyr pivot data frame to be longer
pivot_wider() tidyr pivot data frame to be wider
plot base plot R objects
pmap() purrr apply a function to multiple elements over a list of vectors in parallel
pmax() base compute parallel maxima for one or more vectors
pmin() base compute parallel minima for one or more vectors
poly() stats compute orthogonal polynomials
possibly() purrr safely return result or default when there is an error
print() base prints argument
problems() readr retrieve parsing problems
prod() base return product of all values in arguments
pull() dplyr extract a single column
pwalk() purrr apply multiple functions over multiple arguments in parallel, only for side effects
quantile() stats calculate sample quantiles
quietly() purrr safely return result, messages, and warnings
quote() base returns quoted expression
randomForest() randomForest compute random forest model
range() base return vector of minimum and maximum
range_read() googlesheets4 import a Google sheet (function name matches googlesheets4 conventions)
rank() base return sample ranks of the values in a vector
rbind() base bind rows in base R
read_csv() readr read comma delimited files
read_csv2() readr read semicolon separated files
read_delim() readr read any kind of delimited file
read_excel() readxl import either xls or xlsx Excel files
read_feather() feather read feather files
read_file() readr read a complete file
read_fwf() readr read fixed width files
read_json() jsonlite read JSON file from disk
read_lines() readr read lines from a file
read_log() readr read Apache style log files
read_rds() readr read RDS files
read_sheet() googlesheets4 import a Google sheet (function name matches readr conventions)
read_table() readr read fixed width files separated by white space
read_tsv() readr read tab delimited files
read_xls() readxl import xls Excel files
read_xlsx() readxl import xlsx Excel files
read.csv() utils import CSV file (base R)
readr_example() readr get path to readr example
readRDS() base read RDS files
readxl_example() readxl get path to readxl example
reduce() purrr reduce list to single value by iteratively applying binary function
regex() base use regular expressions
regmatches() base extract or replace matched substrings
relocate() dplyr change column order
rename_with() dplyr rename columns with function
rename() dplyr rename columns
render_site() rmarkdown render R markdown documents into website
render() rmarkdown convert R markdown document to another format
reorder() stats reorder factor levels based on another variable
rep() base create repetitions of numbers, characters, etc.
reprex() reprex render a reproducible example
return() base return value
revealjs_presentation() revealjs create revealjs presentation from R markdown file
right_join() dplyr join two data sets keeping the observations in the right one
rlm() MASS compute robust linear model
rnorm() stats generate random sample from normal distribution
round_date() lubridate round date-time
round() base round values to specified number of digits
row_number() dplyr rank vector elements with ties set to first
rowwise() dplyr compute on a data frame a row-at-a-time
rpart() rpart compute recursive partitioning and regression trees
runif() stats generate random number from uniform distribution
safely() purrr safely return result and error
sample() base randomly sample from vector
sapply() base apply a function to multiple elements of an object and return a vector, matrix, or array
saveRDS() base write RDS files
saveWorkbook() openxlsx write a Workbook object to a file
scale_color_brewer() ggplot2 map colors to data with ColorBrewer
scale_color_discrete() ggplot2 scale color aesthetic to be discrete
scale_color_gradient() ggplot2 scale color aesthetic to continuous color gradient
scale_color_gradient2() ggplot2 scale color aesthetic to diverging color gradient
scale_color_manual() ggplot2 map colors to data manually
scale_color_viridis() viridis scale color aesthetic to viridis color gradient
scale_fill_gradient() ggplot2 scale fill aesthetic to continuous color gradient
scale_fill_viridis() viridis scale fill aesthetic to viridis gradient
scale_x_continuous() ggplot2 scale x axis to be continuous
scale_x_date() ggplot2 scale x axis to be date
scale_x_log10() ggplot2 scale x axis to be log base 10
scale_y_continuous() ggplot2 scale y axis to be continuous
scale_y_log10() ggplot2 scale y axis to be log base 10
sd() stats compute standard deviation
second() lubridate return or set second component of a date-time
select() dplyr keep specified columns
semi_join() dplyr join two data sets keeping all observations in x that have a match in y
separate_rows() tidyr separate collapsed column into multiple rows
separate() tidyr split single column into multiple columns
seq_along() base return a sequence along the length of an object
seq_range() modelr return sequence over the range of a vector
seq() base create sequences of numbers
session.info() sessioninfo return R session info and loaded packages
sessionInfo() utils return info about R version, operating system, and loaded packages
set_names() magrittr set names of object
setdiff() base return observations in x but not y
setNames() stats set the name of an object and return the object
setwd() base set working directory
show_query() dplyr give details about database table object
slice_head() dplyr select the first (specified) number of rows
slice_min() dplyr select the rows with the lowest values of a variable
slidy_presentation() rmarkdown create Slidy presentation from R markdown file
some() purrr determine if some of elements meet predicate function conditional
sort() base sort a vector or factor into ascending or descending order (base R)
split() base divide data frame into groups in a list
spread_predictions() modelr add predictions and pivot wider
starts_with() tidyselect match column names that begin with string
stat_count() ggplot2 statistical transformation that counts numbers of instances
stat_smooth() ggplot2 statistical transformation that computes smoothed conditional means
stat_summary() ggplot2 summarize y values for each x value
stop_for_problems() readr throw error and stop script if any parsing problems
stop() base stop execution of current expression and return an error
stopifnot() base test condition and produce error at first FALSE
str_c() stringr combines two or more strings
str_count() stringr count number of matches in a string
str_detect() stringr detect presence of pattern in string
str_dup() stringr duplicate and concatenate strings within a character vector
str_equal() stringr compare if two strings are equal
str_escape() stringr add escape  to special characters
str_extract_all() stringr extract all matching patterns in a string
str_extract() stringr extract first matching patterns in a string
str_flatten() stringr flatten a string
str_glue() stringr format and interpolate a string with glue
str_length() stringr returns number of characters in a string
str_locate_all() stringr locate all positions of pattern in a string
str_locate() stringr locate first position of pattern in a string
str_match_all() stringr extract all matched groups from a string
str_match() stringr extract first matched group from a string
str_order() stringr return index of sorted vector (stringr version)
str_remove_all() stringr remove all instances of a pattern in a string
str_replace_all() stringr replace all matched patterns in a string
str_replace_na() stringr replace NAs with other characters
str_replace() stringr replace first matched pattern in a string
str_sort() stringr sort numeric or character vector (stringr version)
str_split() stringr split string into pieces
str_sub() stringr extract parts of a string
str_subset() stringr extract elements that match pattern
str_to_lower() stringr change text to lower case
str_to_sentence() stringr change text to sentence case
str_to_title() stringr change text to upper case
str_to_upper() stringr change text to upper case
str_trim() stringr trim whitespace from string
str_view_all() stringr view all regular expression matches
str_view() stringr view first regular expression match
str_wrap() stringr wrap strings into nicely formatted paragraphs
str() utils return object structure
stri_locale_list() stringi create character vector with all available locale identities
stri_sort() stringi sort character vector in lexicographic order
sum() base sum elements of vector
summarize() dplyr summarize data usually by grouping variable
summary() base return summary of model fitting functions
suppressMessages() base suppress the printing of messages
suppressWarnings() base suppress the printing of warnings
switch() base select one of a list of alternatives
Sys.Date() base return system date
Sys.timezone() base return name of current time zone
t.test() stats computer one and two sample Student’s t-test on vectors of data
tail_while() purrr find last elements that satisfy predicate
tail() utils return last rows of matrix, data frame, etc.
tapply() base apply a function to each cell of a ragged array
tbl() dplyr create a database table from data source
textInput() shiny allow text input in Shiny
theme() ggplot2 customize non-data components of plot
tibble() tibble create tibble
tidy() generics turn object into tidy tibble
tidyverse_update() tidyverse update tidyverse packages
today() lubridate return the current date
toupper() base convert character strings to upper case
transmute() dplyr creates new data column and dropping existing ones
transpose() purrr turn list-of-lists ‘inside out’
tribble() tibble create row-wise tibble
trim() glue trim a character vector
try() base try an expression and allow errors
tryCatch() base evaluates an expression with the possibility to catch exceptions
type_convert() readr re-convert character columns in existing data frame
typeof() base return object type
ungroup() dplyr remove grouping
union() base return unique observations in x or y
union_all() dplyr return all observations in x or y
unique() base return vector with duplicate elements removed
unite() tidyr combine multiple columns into single column
unlist() base flatten a list into an atomic vector in base R
unnest_auto() tidyr turn each element of a list-column into a row or column
unnest_longer() tidyr turn each element of a list-column into a row
unnest_wider() tidyr turn each element of a list-column into a column
unnest() tidyr remove nested structure
update() stats update and refit a model
vapply() base apply a function to multiple elements of an object and return a vector
vector() base create a vector
View() utils open spreadsheet view of matrix-like object
walk() purrr apply a function to multiple elements of an object to obtain side effects
walk2() purrr apply multiple functions over two arguments in parallel, only for side effects
wday() lubridate extract day number of week
which() base give TRUE indices of logical object
with_tz() lubridate return date-time in a different time zone
word_document() rmarkdown create Word document from R markdown file
write_csv() readr write data frame to comma delimited file
write_excel_csv() readr export a csv file to Excel
write_rds() readr write RDS files
write_tsv() readr write a data frame to tab delimited files
write_xlsx() writexl write object to xlsx Excel file (writexl)
write.csv() utils write data frame to comma delimited file
write.xlsx() openxlsx write object to xlsx Excel file (openxlsx )
writeLines() base write text lines to a connection
xgboost() sgboost computer gradient boosting models
xlim() ggplot2 specify limits of x axis
xor() base apply elementwise exclusive OR
yday() lubridate extract day number of year
year() lubridate return or set year component of a date-time
ylim() ggplot2 specify limits of y axis
ymd_hms() lubridate parse dates and time
ymd() lubridate parse dates with year, month, and day components