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R index

Descriptions include functions without a paired example. A linked Stata name leads to the command index; this is a reference, not an installation list.

AER

• ivreg() — Instrumental-Variable Regression Stata: ivregress. ↗
• tobit() — Tobit (censored) regression

base

• .libPaths() — Search Paths for Packages Stata: adopath. ↗
• abs() — Absolute value Stata: abs(). ↗
• all() — Whether all values are TRUE Stata: assert. ↗
• any() — Whether any value is TRUE Stata: count if. ↗
• anyDuplicated() — Determine Duplicate Elements Stata: gisid. ↗
• anyNA() — Not Available / Missing Values Stata: gisid. ↗
• apply() — Apply a function over rows or columns Stata: egen rowtotal(). ↗
• as.character() — Convert to text
• as.data.frame() — Coerce to a Data Frame Stata: getmata. ↗
• as.Date() — Convert to a date
• as.double() — Convert to double-precision numbers
• as.factor() — Convert to a factor Stata: encode. ↗
• as.integer() — Convert to whole numbers
• as.matrix() — Matrices Stata: cf. ↗
• as.numeric() — Convert to numbers
• as.POSIXct() — Date-time Conversion Functions Stata: clock. ↗
• as.vector() — Vectors - Creation, Coercion, etc Stata: margins. ↗
• attr() — Get or set an attribute of an object
• attributes() — Object Attribute Lists Stata: char. ↗
• body() — Access to and Manipulation of the Body of a Function Stata: viewsource. ↗
• c() — Combine values into a vector
• cat() — Print text without quotes
• cbind() — Put side by side (base R) Stata: merge 1:1 _n. ↗
• ceiling() — Round up
• character() — Character Vectors Stata: tokenize. ↗
• charToRaw() — Convert to or from (Bit/Packed) Raw Vectors Stata: changeeol. ↗
• chol() — The Cholesky Decomposition Stata: irf. ↗
• class() — Class of an object Stata: describe. ↗
• close() — Functions to Manipulate Connections (Files, URLs, …) Stata: file. ↗
• col() — Column Indexes Stata: spmatrix. ↗
• colMeans() — Form Row and Column Sums and Means Stata: margins. ↗
• colnames() — Column names Stata: ds. ↗
• colSums() — Form Row and Column Sums and Means Stata: missings. ↗
• crossprod() — Matrix Cross-Product Stata: tsfilter. ↗
• cumprod() — Running product Stata: generate. ↗
• cumsum() — Running sum
• cut() — Cut numbers into intervals
• data.frame() — Data Frames Stata: range. ↗
• diag() — Diagonal of a matrix
• diff() — Differences between neighbouring values Stata: D.. ↗
• dim() — Numbers of rows and columns Stata: describe. ↗
• dir() — List files in a folder
• dir.create() — Create a folder Stata: mkdir. ↗
• do.call() — Call a function with a list of arguments Stata: program. ↗
• double() — Double-Precision Vectors Stata: postfile. ↗
• dput() — Write an Object to a File or Recreate it Stata: dataex. ↗
• drop() — Drop Redundant Extent Information Stata: lincom. ↗
• droplevels() — Drop unused factor levels Stata: label define. ↗
• duplicated() — Determine Duplicate Elements Stata: gegen. ↗
• eigen() — Spectral Decomposition of a Matrix Stata: varstable. ↗
• environment() — Environment Access Stata: include. ↗
• exp() — Exponential Stata: exp(). ↗
• expand.grid() — Create a Data Frame from All Combinations of Factor Variables Stata: arimasoc. ↗
• factor() — Categorical variable with labelled levels
• file() — Functions to Manipulate Connections (Files, URLs, …) Stata: file. ↗
• file.copy() — File Manipulation Stata: copy. ↗
• file.exists() — Whether a file exists Stata: confirm file. ↗
• file.info() — Extract File Information Stata: hexdump. ↗
• file.path() — Build a file path Stata: global path. ↗
• floor() — Round down
• format() — Format values for display
• formatC() — Format numbers with width and padding Stata: string(x, "%9.2f"). ↗
• getwd() — Show the working directory
• grep() — Pattern Matching and Replacement Stata: unab. ↗
• grepl() — Whether text matches a pattern
• gsub() — Replace every match Stata: subinstr(). ↗
• I() — Inhibit Interpretation/Conversion of Objects Stata: regress. ↗
• iconv() — Convert Character Vector between Encodings Stata: unicode. ↗
• identical() — Test Objects for Exact Equality Stata: cf. ↗
• ifelse() — Vectorised if-else (base R) Stata: cond(). ↗
• integer() — Integer Vectors Stata: gdistinct. ↗
• interaction() — Combine factors into one Stata: egen group(). ↗
• invisible() — Change the Print Mode to Invisible Stata: exit. ↗
• is.character() — Whether a vector holds text Stata: confirm string variable. ↗
• is.infinite() — Finite, Infinite and NaN Numbers Stata: gencohort. ↗
• is.na() — Whether values are missing
• is.nan() — Finite, Infinite and NaN Numbers Stata: egen. ↗
• is.numeric() — Whether a vector holds numbers Stata: confirm numeric variable. ↗
• lapply() — Apply a function to each element, returning a list Stata: foreach. ↗
• length() — Number of elements Stata: count. ↗
• lengths() — Lengths of List or Vector Elements Stata: wordcount. ↗
• levels() — Categories of a factor
• library() — Attach a package Stata: ssc install. ↗
• list() — A list of objects
• list.files() — Files in a folder Stata: dir. ↗
• load() — Load objects from an .RData file Stata: use. ↗
• local() — Evaluate an (Unevaluated) Expression Stata: tempvar. ↗
• log() — Logarithm (natural by default)
• log10() — Base-10 logarithm Stata: log10(). ↗
• logical() — Logical Vectors Stata: missings. ↗
• ls() — List objects in memory
• make.names() — Turn text into valid names
• mapply() — Apply a Function to Multiple List or Vector Arguments Stata: arimasoc. ↗
• match() — Value Matching Stata: rename. ↗
• match.arg() — Argument Verification Using Partial Matching Stata: unabcmd. ↗
• matrix() — Create a matrix
• max() — Largest value
• mean() — Mean
• merge() — Merge two data frames (base R) Stata: merge. ↗
• message() — Print a message Stata: display. ↗
• min() — Smallest value
• Mod() — Complex Numbers and Basic Functionality Stata: psdensity. ↗
• names() — Names of an object, such as column names
• nchar() — Number of characters Stata: strlen(). ↗
• ncol() — Number of columns Stata: describe. ↗
• nlevels() — Number of factor levels Stata: levelsof. ↗
• normalizePath() — Express File Paths in Canonical Form Stata: findfile. ↗
• nrow() — Number of rows
• numeric() — Numeric Vectors Stata: rangestat. ↗
• options() — Set global options Stata: set. ↗
• order() — Positions that would sort a vector Stata: sort. ↗
• paste() — Join text with a separator
• paste0() — Join text without a separator
• plot() — Basic plot
• pmatch() — Partial String Matching Stata: unab. ↗
• pmax() — Element-wise maximum of several vectors Stata: max(a, b). ↗
• pmin() — Element-wise minimum of several vectors Stata: min(a, b). ↗
• print() — Print an object
• prop.table() — Turn counts into proportions
• proportions() — Turn a table into proportions Stata: tabulate, row. ↗
• qr() — The QR Decomposition of a Matrix Stata: orthog. ↗
• qr.Q() — Reconstruct the Q, R, or X Matrices from a QR Object Stata: orthog. ↗
• R.home() — Return the R Home Directory Stata: sysdir. ↗
• range() — Minimum and maximum Stata: summarize. ↗
• rank() — Ranks, with ties averaged
• rbind() — Stack rows (base R) Stata: append. ↗
• readBin() — Transfer Binary Data To and From Connections Stata: hexdump. ↗
• readLines() — Read Text Lines from a Connection Stata: changeeol. ↗
• readRDS() — Read an R object file (.rds) Stata: use. ↗
• regexpr() — Pattern Matching and Replacement Stata: strpos. ↗
• rep() — Repeat values Stata: expand. ↗
• rep_len() — Repeat values to a given length
• replace() — Replace Values in a Vector Stata: generate. ↗
• replicate() — Apply a Function over a List or Vector Stata: bootstrap. ↗
• requireNamespace() — Loading and Unloading Name Spaces Stata: ftools. ↗
• return() — Function Definition Stata: exit. ↗
• rev() — Reverse the order Stata: gsort. ↗
• rm() — Remove objects from memory
• round() — Round to a number of decimals
• row() — Row Indexes Stata: spmatrix. ↗
• rowMeans() — Form Row and Column Sums and Means Stata: egen. ↗
• rowSums() — Sum across columns in each row
• sample() — Random sample of values Stata: sample. ↗
• sample.int() — Random Samples and Permutations Stata: bsample. ↗
• sapply() — Apply a function to each element and simplify Stata: foreach. ↗
• save() — Save objects to an .RData file Stata: save. ↗
• saveRDS() — Save one R object to a file
• scale() — Standardise columns Stata: egen std(). ↗
• scan() — Read Data Values Stata: tokenize. ↗
• seq() — Sequence of numbers
• seq_along() — Positions of the elements of a vector Stata: _n. ↗
• seq_len() — Whole numbers from 1 to n Stata: _n. ↗
• serialize() — Simple Serialization Interface Stata: datasignature. ↗
• set.seed() — Make random numbers reproducible
• setwd() — Change the working directory
• sign() — Sign Function Stata: compare. ↗
• signif() — Round to significant digits Stata: round(). ↗
• sin() — Trigonometric Functions Stata: tsfilter. ↗
• sink() — Send console output to a file
• solve() — Solve a System of Equations Stata: estat. ↗
• sort() — Sort a vector
• source() — Run an R script
• split() — Split data into groups Stata: by. ↗
• sprintf() — Format numbers and text with a template
• sqrt() — Square root
• stop() — Stop with an error Stata: exit 198. ↗
• stopifnot() — Stop if a condition is not TRUE
• strsplit() — Split strings Stata: split. ↗
• sub() — Replace the first match Stata: regexr(). ↗
• subset() — Rows meeting a condition (base R) Stata: keep if. ↗
• substr() — Part of a string by position Stata: substr(). ↗
• sum() — Sum
• summary() — Summary of an object, such as a model
• Sys.Date() — Today’s date
• Sys.sleep() — Suspend Execution for a Time Interval Stata: sleep. ↗
• sys.source() — Parse and Evaluate Expressions from a File Stata: include. ↗
• Sys.time() — Current date and time Stata: c(current_time). ↗
• t() — Transpose a matrix
• table() — Count values
• tapply() — Apply a function within groups Stata: bysort g: egen. ↗
• tempdir() — Create Names for Temporary Files Stata: sysdir. ↗
• tempfile() — Name for a temporary file
• tolower() — Lower case Stata: strlower(). ↗
• toupper() — Upper case Stata: strupper(). ↗
• traceback() — Show where the last error happened
• transform() — Transform an Object, for Example a Data Frame Stata: expandcl. ↗
• trimws() — Remove leading and trailing spaces Stata: strtrim(). ↗
• trunc() — Drop the decimals Stata: int(). ↗
• try() — Run code and continue after an error Stata: capture. ↗
• tryCatch() — Handle errors and warnings Stata: capture. ↗
• typeof() — Storage type Stata: describe. ↗
• unclass() — Object Classes Stata: rotate. ↗
• unique() — Distinct values
• unname() — Remove names or dimnames Stata: cf. ↗
• unsplit() — Divide into Groups and Reassemble Stata: permute. ↗
• vapply() — Apply a Function over a List or Vector Stata: gdistinct. ↗
• vector() — Vectors - Creation, Coercion, etc Stata: irf. ↗
• warning() — Give a warning Stata: display as error. ↗
• which() — Positions where a condition is TRUE Stata: list if. ↗
• with() — Evaluate code with the columns of a data frame
• writeBin() — Transfer Binary Data To and From Connections Stata: changeeol. ↗
• writeLines() — Write Lines to a Connection Stata: checksum. ↗
• xor() — Logical Operators Stata: egen. ↗

betareg

• betareg() — Beta Regression for Rates and Proportions Stata: betareg. ↗

binsreg

• binsreg() — Binned scatter plot and estimation

boot

• boot() — Bootstrap Resampling Stata: centile. ↗
• boot.ci() — Nonparametric Bootstrap Confidence Intervals Stata: centile. ↗

broom

• augment() — Add fitted values and residuals to the data Stata: predict. ↗
• glance() — One-row summary of model statistics
• tidy() — Coefficient table as a data frame

car

• Anova() — Type II and III ANOVA tables Stata: anova. ↗
• avPlots() — Added-variable plots
• deltaMethod() — Estimate and Standard Error of a Nonlinear Function of Estimated Regression Coefficients Stata: nlcom. ↗
• leveneTest() — Levene’s Test Stata: robvar. ↗
• linearHypothesis() — Test linear restrictions on coefficients Stata: test. ↗
• vif() — Variance inflation factors

class

• knn() — k-Nearest Neighbour Classification Stata: discrim. ↗

cobalt

• bal.tab() — Display Balance Statistics in a Table Stata: pstest. ↗

coda

• effectiveSize() — Effective sample size for estimating the mean Stata: bayesstats. ↗
• HPDinterval() — Highest Posterior Density intervals Stata: bayesstats. ↗

data.table

• fread() — Fast reading of large text files Stata: import delimited. ↗
• fwrite() — Fast writing of large text files Stata: export delimited. ↗

datawizard

• winsorize() — Winsorise extreme values

DBI

• dbAppendTable() — Insert rows into a table Stata: jdbc. ↗
• dbDisconnect() — Disconnect (close) a connection Stata: odbc. ↗
• dbGetQuery() — Retrieve results from a query Stata: odbc. ↗
• dbListFields() — List field names of a remote table Stata: odbc. ↗
• dbListTables() — List remote tables Stata: odbc. ↗
• dbReadTable() — Read database tables as data frames Stata: jdbc. ↗

did

• att_gt() — Staggered difference in differences (Callaway-Sant’Anna)

dplyr

• across() — Apply the same calculation to several columns
• add_count() — Add a column with group counts Stata: bysort g: generate n = _N. ↗
• all_of() — Select columns named in a character vector Stata: keep `vars'. ↗
• anti_join() — Keep rows of the first table with no match in the second
• any_of() — Select listed columns that exist Stata: capture keep. ↗
• arrange() — Sort rows
• between() — Whether values lie within a range
• bind_cols() — Put tables side by side
• bind_rows() — Stack tables on top of each other
• c_across() — Combine columns inside rowwise() Stata: egen rowtotal(). ↗
• case_match() — Recode values by matching them Stata: recode. ↗
• case_when() — Several if-else conditions in one step
• coalesce() — First non-missing value across vectors
• consecutive_id() — Number runs of identical values Stata: tsspell. ↗
• contains() — Select columns whose names contain some text
• count() — Count rows in each group
• cross_join() — Every combination of rows from two tables
• cumall() — Running all(): TRUE until the first FALSE Stata: sum(). ↗
• cume_dist() — Cumulative distribution Stata: cumul. ↗
• cur_group() — Keys of the current group Stata: by. ↗
• cur_group_id() — Number of the current group
• dense_rank() — Ranks without gaps Stata: egen group(). ↗
• desc() — Sort in descending order inside arrange()
• distinct() — Keep unique rows
• ends_with() — Select columns whose names end with some text
• everything() — Select all columns Stata: _all. ↗
• filter() — Keep rows that meet a condition
• first() — First value Stata: x[1]. ↗
• full_join() — Merge keeping all rows of both tables
• glimpse() — Compact view of all columns Stata: describe. ↗
• group_by() — Group rows so later steps work within groups
• group_split() — Split a table into one table per group Stata: by. ↗
• group_vars() — Names of the grouping variables Stata: by. ↗
• if_all() — Whether a condition holds in all of several columns Stata: egen rowmin(). ↗
• if_any() — Whether a condition holds in any of several columns Stata: egen anymatch(). ↗
• if_else() — One value if a condition holds, another if not
• inner_join() — Merge keeping only matched rows
• intersect() — Rows in both tables Stata: merge, keep(match). ↗
• join_by() — Join keys, including inequality and range joins Stata: joinby. ↗
• lag() — Value from the previous row
• last() — Last value Stata: x[_N]. ↗
• last_col() — The last column Stata: order. ↗
• lead() — Value from the next row
• left_join() — Merge keeping all rows of the first table
• matches() — Select columns whose names match a regular expression
• min_rank() — Ranks with ties given the lowest rank Stata: egen rank(), track. ↗
• mutate() — Create or change columns
• n() — Number of rows in the current group
• n_distinct() — Number of distinct values Stata: distinct. ↗
• na_if() — Turn one value into missing
• near() — Compare numbers with a tolerance Stata: reldif(). ↗
• nth() — Value at a given position Stata: x[5]. ↗
• ntile() — Split into n groups of nearly equal size Stata: xtile. ↗
• num_range() — Select x1, x2 and so on by number Stata: keep x1-x5. ↗
• percent_rank() — Rank rescaled to 0-1 Stata: egen rank(). ↗
• pick() — Select columns inside mutate() or summarise() Stata: varlist. ↗
• pull() — Extract one column as a vector
• reframe() — Summarise to any number of rows per group Stata: collapse. ↗
• relocate() — Move columns to a new position
• rename() — Rename columns (new = old)
• rename_with() — Rename columns with a function, such as toupper
• right_join() — Merge keeping all rows of the second table
• row_number() — Row number
• rows_update() — Update rows from another table Stata: merge, update replace. ↗
• rowwise() — Compute row by row Stata: egen rowmean(). ↗
• select() — Keep or drop columns
• semi_join() — Keep rows of the first table that have a match in the second
• setdiff() — Rows in the first table only Stata: merge, keep(master). ↗
• slice() — Keep rows by position
• slice_head() — First rows of each group Stata: bysort g: keep if _n <= 3. ↗
• slice_max() — Rows with the largest values Stata: gsort -x; keep in 1/5. ↗
• slice_min() — Rows with the smallest values Stata: sort x; keep in 1/5. ↗
• slice_sample() — Random sample of rows
• slice_tail() — Last rows of each group Stata: bysort g: keep if _n > _N - 3. ↗
• starts_with() — Select columns whose names start with some text
• summarise() — Reduce each group to one row of statistics
• summarize() — Same as summarise() Stata: collapse. ↗
• tally() — Count rows Stata: count. ↗
• transmute() — Create columns and keep only those Stata: keep. ↗
• ungroup() — Remove grouping
• union() — Rows in either table, without duplicates Stata: append. ↗
• where() — Select columns by type, such as where(is.numeric) Stata: ds, has(type numeric). ↗

effectsize

• cohens_d() — Cohen’s d and Other Standardized Differences Stata: esize. ↗

estimatr

• iv_robust() — Two-Stage Least Squares Instrumental Variables Regression Stata: ivregress. ↗

fixest

• coefplot() — Coefficient plot for fixest models Stata: coefplot. ↗
• etable() — Regression table for fixest models Stata: esttab. ↗
• feglm() — GLM, such as logit, with fixed effects Stata: xtlogit. ↗
• fenegbin() — Negative binomial model with fixed effects Stata: xtnbreg. ↗
• feols() — Linear regression with fixed effects, clustering and IV
• fepois() — Poisson regression with fixed effects
• fitstat() — Fit statistics, including the first-stage F Stata: estat firststage. ↗
• sunab() — Sun and Abraham interactions Stata: eventstudyinteract. ↗

flextable

• flextable() — Formatted table for Word or PowerPoint
• save_as_docx() — Save tables to a Word file

forcats

• fct_collapse() — Combine levels into groups Stata: recode. ↗
• fct_count() — Count each level Stata: tabulate. ↗
• fct_drop() — Drop unused levels Stata: label define. ↗
• fct_infreq() — Order levels by frequency Stata: tabulate x, sort. ↗
• fct_lump_n() — Lump rare levels into Other Stata: recode. ↗
• fct_na_value_to_level() — Make missing values a level Stata: tabulate x, missing. ↗
• fct_recode() — Rename factor levels Stata: label define, modify. ↗
• fct_relevel() — Move factor levels to the front Stata: ib3.x. ↗
• fct_reorder() — Order levels by another variable Stata: graph bar, sort. ↗
• fct_rev() — Reverse the order of levels Stata: label define. ↗

forecast

• Arima() — Fit ARIMA model to univariate time series Stata: forecast. ↗
• forecast() — Objects exported from other packages Stata: forecast. ↗

fracdiff

• fracdiff() — ML Estimates for Fractionally-Differenced ARIMA (p,d,q) models Stata: arfima. ↗

fwildclusterboot

• boottest() — Fast wild cluster bootstrap inference Stata: boottest. ↗

geepack

• geeglm() — Fit Generalized Estimating Equations (GEE) Stata: xtgee. ↗

ggplot2

• aes() — Map variables to x, y, colour and other plot features
• after_stat() — Control aesthetic evaluation Stata: histogram. ↗
• annotate() — Add one annotation, such as text Stata: text(). ↗
• coord_cartesian() — Zoom in without dropping data Stata: xscale(range()). ↗
• coord_flip() — Swap the x and y axes
• coord_polar() — Polar coordinates, used for pie charts
• facet_grid() — Panels by two variables Stata: by(). ↗
• facet_wrap() — One panel per group
• geom_abline() — Line with a given slope and intercept Stata: function. ↗
• geom_area() — Area plot
• geom_bar() — Bar chart of counts
• geom_boxplot() — Box plot
• geom_col() — Bars with given heights Stata: graph bar (asis). ↗
• geom_contour() — 2D contours of a 3D surface Stata: twoway. ↗
• geom_density() — Density curve
• geom_errorbar() — Error bars or capped ranges
• geom_histogram() — Histogram
• geom_hline() — Horizontal reference line Stata: yline(). ↗
• geom_jitter() — Jittered points Stata: scatter, jitter(). ↗
• geom_label() — Text labels in boxes Stata: mlabel(). ↗
• geom_line() — Lines connecting observations
• geom_linerange() — Vertical intervals: lines, crossbars & errorbars Stata: twoway. ↗
• geom_point() — Points (scatter plot)
• geom_pointrange() — Points with intervals Stata: rcap. ↗
• geom_qq() — Quantile-quantile points
• geom_qq_line() — Reference line for a quantile-quantile plot
• geom_rect() — Rectangles Stata: twoway. ↗
• geom_ribbon() — Shaded band between two values
• geom_segment() — Line segments and curves Stata: twoway. ↗
• geom_sf() — Map from spatial data Stata: spmap. ↗
• geom_smooth() — Fitted line or smooth curve
• geom_step() — Step plot Stata: line, connect(stairstep). ↗
• geom_text() — Text labels on a plot
• geom_tile() — Heat-map tiles Stata: heatplot. ↗
• geom_violin() — Violin plot
• geom_vline() — Vertical reference line
• ggplot() — Start a plot
• ggsave() — Save a plot to a file
• labs() — Title and axis labels Stata: title(). ↗
• position_dodge() — Place bars or points side by side Stata: over(). ↗
• position_jitter() — Jitter points to avoid overplotting Stata: dotplot. ↗
• scale_colour_manual() — Choose colours by hand Stata: mcolor(). ↗
• scale_fill_brewer() — ColorBrewer fill colours Stata: set scheme. ↗
• scale_x_continuous() — Axis breaks and labels Stata: xlabel(). ↗
• scale_x_log10() — Logarithmic x axis Stata: xscale(log). ↗
• scale_y_continuous() — Position scales for continuous data (x & y) Stata: scatter. ↗
• scale_y_log10() — Position scales for continuous data (x & y) Stata: scatter. ↗
• stat_ecdf() — Empirical cumulative distribution plot Stata: cumul. ↗
• stat_summary() — Plot a summary, such as the mean, of y at each x
• stat_summary_2d() — Summarize a variable within two-dimensional bins Stata: heatplot. ↗
• theme() — Fine-tune the look of a plot Stata: graphregion(). ↗
• theme_bw() — Black-and-white plot theme
• theme_classic() — Classic plot theme Stata: set scheme. ↗
• theme_minimal() — Minimal plot theme Stata: set scheme. ↗
• theme_set() — Set the default theme for every plot
• xlim() — Limits of the x axis Stata: xscale(range()). ↗

glmmTMB

• glmmTMB() — Fit Models with TMB Stata: menbreg. ↗
• nbinom2() — Family functions for glmmTMB Stata: menbreg. ↗

glmnet

• cv.glmnet() — Cross-validation for glmnet Stata: lasso. ↗

GPArotation

• oblimin() — Rotations Functions Using Gradient Projection Algorithms Stata: rotate. ↗
• quartimax() — Rotations Functions Using Gradient Projection Algorithms Stata: rotate. ↗

graphics

• pairs() — Scatter-plot matrix
• plot() — The Default Scatterplot Function Stata: quantile. ↗
• stem() — Stem-and-leaf display

grid

• arrow() — Describe arrows to add to a line Stata: twoway. ↗

gtsummary

• tbl_cross() — Cross table Stata: tabulate x1 x2. ↗
• tbl_regression() — Regression table Stata: esttab. ↗
• tbl_summary() — Descriptive Table 1

haven

• as_factor() — Turn labelled values into a factor Stata: decode. ↗
• is_tagged_na() — “Tagged” missing values Stata: mvencode. ↗
• labelled() — Attach value labels to a vector
• print_labels() — Show value labels Stata: label list. ↗
• read_dta() — Read a Stata .dta file
• read_sas() — Read a SAS file
• read_sav() — Read an SPSS .sav file
• read_xpt() — Read and write SAS transport files Stata: import. ↗
• tagged_na() — Stata-style extended missing values such as .a Stata: replace x = .a. ↗
• write_dta() — Write a Stata .dta file
• write_sav() — Write an SPSS file Stata: savespss. ↗
• write_xpt() — Read and write SAS transport files Stata: export. ↗
• zap_labels() — Remove value labels
• zap_missing() — Turn special missing values into NA Stata: mvdecode. ↗

janitor

• adorn_totals() — Add totals to a tabyl Stata: tabulate x1 x2. ↗
• clean_names() — Clean and lower-case variable names Stata: rename *, lower. ↗
• get_dupes() — List duplicated rows Stata: duplicates list. ↗
• remove_empty() — Drop empty rows and columns Stata: missings dropvars. ↗
• tabyl() — Frequency and cross tables Stata: tabulate. ↗

labelled

• look_for() — Find variables by name or label Stata: lookfor. ↗
• set_variable_labels() — Set variable labels
• to_factor() — Turn labelled values into a factor Stata: decode. ↗
• val_labels() — Get or set value labels Stata: label values. ↗
• var_label() — Get or set a variable label Stata: label variable. ↗

lavaan

• cfa() — Fit Confirmatory Factor Analysis Models Stata: sem. ↗
• fitMeasures() — Fit Measures for a Latent Variable Model Stata: estat. ↗
• lavResiduals() — Residuals Stata: estat. ↗
• modindices() — Modification Indices Stata: estat. ↗
• sem() — Structural equation model
• standardizedSolution() — Standardized Solution Stata: sem. ↗

lme4

• fixef() — Extract fixed-effects estimates Stata: quadchk. ↗
• glmer() — Multilevel generalised linear model
• glmerControl() — Control of Mixed Model Fitting Stata: melogit. ↗
• lmer() — Multilevel linear model
• ranef() — Predicted random effects Stata: predict, reffects. ↗
• VarCorr() — Variance components of a multilevel model Stata: estat sd. ↗

lmtest

• bptest() — Breusch-Pagan test for heteroskedasticity
• coeftest() — Coefficient tests with a chosen variance matrix
• grangertest() — Test for Granger Causality Stata: vargranger. ↗
• lrtest() — Likelihood-ratio test
• resettest() — RESET test for omitted variables
• waldtest() — Wald test of nested models Stata: test. ↗

lubridate

• as_date() — Convert to a date Stata: dofc(). ↗
• day() — Day of the month
• days() — A period of days, for date arithmetic Stata: d + 7. ↗
• days_in_month() — Get the number of days in the month of a date-time Stata: daysinmonth. ↗
• dmy() — Parse day-month-year text into a date Stata: date(s, "DMY"). ↗
• floor_date() — Round a date down to a unit, such as the month Stata: mofd(). ↗
• hour() — Hour of a date-time Stata: hh(). ↗
• interval() — Time span between two dates
• make_date() — Date from year, month and day
• make_datetime() — Date-time from its parts Stata: mdyhms(). ↗
• mdy() — Parse month-day-year text into a date Stata: date(s, "MDY"). ↗
• minute() — Minute of a date-time Stata: mm(). ↗
• month() — Month of a date
• now() — Current date and time Stata: now(). ↗
• quarter() — Quarter of a date Stata: quarter(). ↗
• time_length() — Length of a time span in chosen units, such as years
• today() — Today’s date Stata: today(). ↗
• wday() — Day of the week
• week() — Week of the year Stata: week(). ↗
• yday() — Day of the year Stata: doy(). ↗
• year() — Year of a date
• years() — A period of years, for date arithmetic Stata: d + 365. ↗
• ymd() — Parse text such as 2024-01-31 into a date
• ymd_hms() — Parse text into a date-time

marginaleffects

• avg_comparisons() — Average contrasts Stata: margins r.x. ↗
• avg_predictions() — Average predictions, like Stata’s margins
• avg_slopes() — Average marginal effects
• comparisons() — Differences between predictions (contrasts) Stata: margins r.x. ↗
• hypotheses() — Tests of linear and nonlinear hypotheses
• plot_predictions() — Plot predictions, like marginsplot
• plot_slopes() — Plot marginal effects Stata: marginsplot. ↗
• predictions() — Predictions with standard errors Stata: margins. ↗
• slopes() — Marginal effects for each observation Stata: margins, dydx(x) at(). ↗

MASS

• boxcox() — Box-Cox Transformations for Linear Models Stata: boxcox. ↗
• corresp() — Simple Correspondence Analysis Stata: ca. ↗
• glm.nb() — Negative binomial regression
• isoMDS() — Kruskal’s Non-metric Multidimensional Scaling Stata: mds. ↗
• lda() — Linear Discriminant Analysis Stata: discrim. ↗
• mca() — Multiple Correspondence Analysis Stata: mca. ↗
• mvrnorm() — Simulate from a Multivariate Normal Distribution Stata: drawnorm. ↗
• polr() — Ordered logit or probit
• qda() — Quadratic Discriminant Analysis Stata: discrim. ↗
• rlm() — Robust regression

MatchIt

• match_data() — Construct a matched dataset from a matchit object Stata: psmatch2. ↗
• matchit() — Matching for causal inference

MCMCpack

• MCMCregress() — Markov Chain Monte Carlo for Gaussian Linear Regression Stata: bayesmh. ↗

metafor

• cumul() — Cumulative Meta-Analysis for ‘rma’ Objects Stata: meta. ↗
• escalc() — Calculate Effect Sizes and Outcome Measures Stata: meta. ↗
• leave1out() — Leave-One-Out Diagnostics for ‘rma’ Objects Stata: meta. ↗
• ranktest() — Rank Correlation Test for Funnel Plot Asymmetry Stata: meta. ↗
• regtest() — Regression Test for Funnel Plot Asymmetry Stata: meta. ↗
• rma() — Meta-Analysis via Linear (Mixed-Effects) Models Stata: meta. ↗
• trimfill() — Trim and Fill Analysis for ‘rma.uni’ Objects Stata: meta. ↗

mice

• complete() — Extracts the completed data from a mids object Stata: mi. ↗
• D1() — Compare two nested models using D1-statistic Stata: mi. ↗
• D2() — Compare two nested models using D2-statistic Stata: mi. ↗
• make.predictorMatrix() — Creates a predictorMatrix argument Stata: mi. ↗
• mice() — Multiple imputation by chained equations
• pool() — Combine results across imputations
• pool.scalar() — Multiple imputation pooling: univariate version Stata: mi. ↗

mitools

• MIcombine() — Multiple imputation inference Stata: mi. ↗

modelsummary

• datasummary() — Custom summary-statistics tables Stata: tabstat. ↗
• datasummary_skim() — Quick overview of all variables Stata: codebook. ↗
• modelplot() — Coefficient plot
• modelsummary() — Regression and summary tables

multcomp

• glht() — General Linear Hypotheses Stata: contrast. ↗
• mcp() — General Linear Hypotheses Stata: contrast. ↗

mvtnorm

• dmvnorm() — Multivariate Normal Density and Random Deviates Stata: lnmvnormalden. ↗
• pmvnorm() — Multivariate Normal Distribution Stata: binormal. ↗

nlme

• corAR1() — AR(1) Correlation Structure Stata: xtregar. ↗
• gls() — Fit Linear Model Using Generalized Least Squares Stata: hetregress. ↗
• lme() — Linear Mixed-Effects Models Stata: xtregar. ↗
• nlme() — Nonlinear Mixed-Effects Models Stata: menl. ↗
• varExp() — Exponential Variance Function Stata: hetregress. ↗
• varIdent() — Constant Variance Function Stata: xtgls. ↗

nnet

• multinom() — Multinomial logit

oaxaca

• oaxaca() — Blinder-Oaxaca decomposition

ordinal

• clmm() — Cumulative Link Mixed Models Stata: meologit. ↗

patchwork

• wrap_plots() — Combine several plots

plm

• pdata.frame() — Declare panel data for plm Stata: xtset. ↗
• pgmm() — Dynamic panel GMM (Arellano-Bond)
• phtest() — Hausman test Stata: hausman. ↗
• plm() — Panel models: fixed and random effects
• plmtest() — Lagrange FF Multiplier Tests for Panel Models Stata: xttest0. ↗
• purtest() — Unit root tests for panel data Stata: xtunitroot. ↗
• vcovBK() — Beck and Katz Robust Covariance Matrix Estimators Stata: xtpcse. ↗
• vcovHC() — Robust Covariance Matrix Estimators Stata: xtreg. ↗
• vcovSCC() — Driscoll and Kraay (1998) Robust Covariance Matrix Estimator Stata: xtreg. ↗

polycor

• polychor() — Polychoric Correlation Stata: tetrachoric. ↗

pROC

• coords() — Coordinates of a ROC curve Stata: roctab. ↗
• roc() — Build a ROC curve Stata: roctab. ↗
• roc.test() — Compare two ROC curves Stata: roccomp. ↗

pscl

• zeroinfl() — Zero-inflated Count Data Regression Stata: zip. ↗

psych

• alpha() — Cronbach’s alpha Stata: alpha. ↗
• cohen.kappa() — Find Cohen’s kappa and weighted kappa coefficients for correlation of two raters Stata: kap. ↗
• describe() — Summary statistics (unlike Stata’s describe) Stata: summarize. ↗
• fa() — Factor analysis with more methods Stata: factor. ↗
• ICC() — Intraclass Correlations (ICC1, ICC2, ICC3 from Shrout and Fleiss) Stata: icc. ↗
• KMO() — Find the Kaiser, Meyer, Olkin Measure of Sampling Adequacy Stata: estat. ↗
• mardia() — Calculate univariate or multivariate (Mardia’s test) skew and kurtosis for a vector, matrix, or data.frame Stata: mvtest. ↗
• principal() — Principal components analysis (PCA) Stata: factor. ↗

purrr

• list_rbind() — Stack a list of data frames Stata: append. ↗
• map() — Apply a function to each element, returning a list Stata: foreach. ↗
• map2() — Apply a function to pairs of elements Stata: forvalues. ↗
• map_chr() — Apply a function to each element, returning text Stata: foreach. ↗
• map_dbl() — Apply a function to each element, returning numbers Stata: foreach. ↗
• possibly() — Return a default value instead of an error Stata: capture. ↗
• reduce() — Combine elements one after another, such as repeated merges Stata: merge. ↗
• walk() — Apply a function for its side effects, such as saving files Stata: foreach. ↗

pwr

• ES.h() — Effect size calculation for proportions Stata: power. ↗
• pwr.anova.test() — Power calculations for balanced one-way analysis of variance tests Stata: power. ↗
• pwr.f2.test() — Power calculations for the general linear model Stata: power. ↗
• pwr.norm.test() — Power calculations for the mean of a normal distribution (known variance) Stata: power. ↗
• pwr.p.test() — Power calculations for proportion tests (one sample) Stata: power. ↗
• pwr.r.test() — Power calculations for correlation test Stata: power. ↗
• pwr.t2n.test() — Power calculations for two samples (different sizes) t-tests of means Stata: power. ↗

quantreg

• rq() — Quantile regression

rddensity

• rdbwdensity() — Bandwidth Selection for Manipulation Testing Stata: rdbwdensity. ↗
• rddensity() — Manipulation Testing Using Local Polynomial Density Estimation Stata: rddensity. ↗

rdrobust

• rdbwselect() — Bandwidth Selection Procedures for Local Polynomial Regression Discontinuity Estimators Stata: rdbwselect. ↗
• rdrobust() — Regression discontinuity

readr

• parse_number() — Extract a number from text such as $1,200 Stata: destring, ignore(). ↗
• read_csv() — Read a CSV file
• read_delim() — Read a file with any delimiter Stata: import delimited. ↗
• read_tsv() — Read a tab-separated file Stata: import delimited. ↗
• write_csv() — Write a CSV file

readxl

• excel_sheets() — Sheet names of an Excel file Stata: import excel, describe. ↗
• read_excel() — Read an Excel sheet

remotes

• install_github() — Install a package from GitHub

rprojroot

• find_root() — Find the root of a directory hierarchy Stata: setroot. ↗
• has_file() — Is a directory the project root? Stata: setroot. ↗

sampleSelection

• selection() — Heckman sample-selection model

sandwich

• NeweyWest() — Newey-West HAC Covariance Matrix Estimation Stata: newey. ↗
• vcovBS() — Bootstrap variance matrix
• vcovCL() — Clustered variance matrix Stata: vce(cluster id). ↗
• vcovHC() — Heteroskedasticity-robust variance matrix Stata: vce(robust). ↗
• vcovJK() — Jackknife variance matrix

sf

• st_as_sf() — Convert foreign object to an sf object Stata: spset. ↗

srvyr

• as_survey_design() — Declare a survey design
• survey_mean() — Survey-weighted mean
• survey_prop() — Survey-weighted proportion
• survey_quantile() — Survey-weighted quantiles Stata: epctile. ↗
• survey_total() — Survey-weighted total Stata: svy: total. ↗

stats

• acf() — Autocorrelation function Stata: corrgram. ↗
• addmargins() — Add totals to a table Stata: tabulate x1 x2. ↗
• aggregate() — Group statistics (base R) Stata: collapse. ↗
• AIC() — Akaike information criterion
• anova() — ANOVA table, or comparison of nested models Stata: anova. ↗
• aov() — Analysis of variance
• approx() — Interpolation Functions Stata: ipolate. ↗
• arima() — ARIMA time-series model
• as.dist() — Distance Matrix Computation Stata: mdsmat. ↗
• ave() — Group Averages Over Level Combinations of Factors Stata: stgen. ↗
• bartlett.test() — Bartlett test of equal variances Stata: oneway. ↗
• BIC() — Bayesian information criterion
• binom.test() — Exact binomial test Stata: bitest. ↗
• binomial() — Binomial family for logit and probit models
• Box.test() — #1BoxBox-#1PiercePierce and #1LjungLjung-#1BoxBox Tests Stata: wntestq. ↗
• cancor() — Canonical Correlations Stata: canon. ↗
• ccf() — Auto- and Cross- Covariance and -Correlation Function Estimation Stata: xcorr. ↗
• chisq.test() — Chi-square test Stata: tabulate x1 x2, chi2. ↗
• cmdscale() — Classical (Metric) Multidimensional Scaling Stata: mds. ↗
• coef() — Model coefficients
• complete.cases() — Rows with no missing values Stata: egen rowmiss(). ↗
• confint() — Confidence intervals of coefficients Stata: regress. ↗
• cooks.distance() — Regression Deletion Diagnostics Stata: predict. ↗
• cor() — Correlation matrix
• cor.test() — Correlation with a significance test
• cov() — Covariance Stata: correlate, covariance. ↗
• cov2cor() — Correlation, Variance and Covariance (Matrices) Stata: estat. ↗
• cutree() — Cut a Tree into Groups of Data Stata: cluster. ↗
• dbeta() — The Beta Distribution Stata: betaden. ↗
• dbinom() — The Binomial Distribution Stata: binomialp. ↗
• dcauchy() — The Cauchy Distribution Stata: cauchyden. ↗
• dchisq() — The (non-central) Chi-Squared Distribution Stata: chi2den. ↗
• density() — Kernel density estimate Stata: kdensity. ↗
• dexp() — The Exponential Distribution Stata: exponentialden. ↗
• df() — The F Distribution Stata: Fden. ↗
• dfbetas() — Regression Deletion Diagnostics Stata: dfbeta. ↗
• dffits() — Regression Deletion Diagnostics Stata: predict. ↗
• dgamma() — The Gamma Distribution Stata: gammaden. ↗
• dhyper() — The Hypergeometric Distribution Stata: hypergeometricp. ↗
• dist() — Distance Matrix Computation Stata: mds. ↗
• dlogis() — The Logistic Distribution Stata: logisticden. ↗
• dnbinom() — The Negative Binomial Distribution Stata: nbinomialp. ↗
• dnorm() — Normal density Stata: normalden(). ↗
• dpois() — The Poisson Distribution Stata: poissonp. ↗
• dt() — The Student t Distribution Stata: tden. ↗
• dweibull() — The Weibull Distribution Stata: weibullden. ↗
• ecdf() — Empirical cumulative distribution Stata: cumul. ↗
• expand.model.frame() — Retrieve additional variables aligned with a fitted model’s observations Stata: vce(cluster g). ↗
• factanal() — Factor analysis
• filter() — Linear Filtering on a Time Series Stata: tssmooth. ↗
• fisher.test() — Fisher’s exact test
• fitted() — Fitted values of a model
• ftable() — Flat multi-way table Stata: table. ↗
• Gamma() — Family Objects for Models Stata: glm. ↗
• gaussian() — Family Objects for Models Stata: glm. ↗
• glm() — Generalised linear model, such as logit or Poisson
• hatvalues() — Regression Deletion Diagnostics Stata: predict. ↗
• hclust() — Hierarchical Clustering Stata: cluster. ↗
• HoltWinters() — Holt-Winters Filtering Stata: tssmooth. ↗
• inverse.gaussian() — Family Objects for Models Stata: glm. ↗
• IQR() — Interquartile range Stata: egen iqr(). ↗
• kmeans() — K-means clustering
• kruskal.test() — Kruskal-Wallis test
• ks.test() — Kolmogorov-Smirnov test
• lm() — Linear regression
• logLik() — Log-likelihood of a model Stata: e(ll). ↗
• lowess() — Lowess smoother Stata: lowess. ↗
• mad() — Median absolute deviation Stata: egen mad(). ↗
• manova() — Multivariate Analysis of Variance Stata: manova. ↗
• mantelhaen.test() — Cochran-Mantel-#1HaenszelHaenszel Chi-Squared Test for Count Data Stata: mhodds. ↗
• mcnemar.test() — McNemar test for paired proportions Stata: mcc. ↗
• median() — Median
• model.frame() — Extracting the Model Frame from a Formula or Fit Stata: estat. ↗
• model.matrix() — Design matrix with dummy variables Stata: xi. ↗
• na.omit() — Drop rows with missing values
• nls() — Nonlinear least squares Stata: nl. ↗
• nobs() — Number of observations used by a model Stata: e(N). ↗
• offset() — Include an Offset in a Model Formula Stata: poisson. ↗
• optim() — General-purpose optimisation Stata: ml. ↗
• p.adjust() — Adjust p-values for multiple tests Stata: test, mtest. ↗
• pacf() — Auto- and Cross- Covariance and -Correlation Function Estimation Stata: pac. ↗
• pairwise.t.test() — Pairwise t tests with adjusted p-values Stata: pwmean. ↗
• pbeta() — The Beta Distribution Stata: ibeta. ↗
• pbinom() — The Binomial Distribution Stata: binomial. ↗
• pcauchy() — The Cauchy Distribution Stata: cauchy. ↗
• pchisq() — Chi-square probability Stata: chi2tail(). ↗
• pexp() — The Exponential Distribution Stata: exponential. ↗
• pf() — The F Distribution Stata: F. ↗
• pgamma() — The Gamma Distribution Stata: gammap. ↗
• phyper() — The Hypergeometric Distribution Stata: hypergeometric. ↗
• plogis() — The Logistic Distribution Stata: predictnl. ↗
• pnbinom() — The Negative Binomial Distribution Stata: nbinomial. ↗
• pnorm() — Normal cumulative probability Stata: normal(). ↗
• poisson() — Family Objects for Models Stata: glm. ↗
• poisson.test() — Exact Poisson tests Stata: stir. ↗
• poly() — Polynomial terms for a model
• power.prop.test() — Power Calculations for Two-Sample Test for Proportions Stata: power. ↗
• power.t.test() — Power and sample size for a t test Stata: power twomeans. ↗
• ppoints() — Ordinates for Probability Plotting Stata: quantile. ↗
• ppois() — The Poisson Distribution Stata: poisson. ↗
• prcomp() — Principal components
• predict() — Predictions from a model
• princomp() — Principal Components Analysis Stata: pcamat. ↗
• promax() — Rotation Methods for Factor Analysis Stata: rotate. ↗
• prop.test() — Test of a proportion
• prop.trend.test() — Test for trend in proportions Stata: nptrend. ↗
• pt() — t-distribution probability Stata: ttail(). ↗
• ptukey() — The Studentized Range Distribution Stata: tukeyprob. ↗
• pweibull() — The Weibull Distribution Stata: weibull. ↗
• qbeta() — The Beta Distribution Stata: invibeta. ↗
• qcauchy() — The Cauchy Distribution Stata: invcauchy. ↗
• qchisq() — The (non-central) Chi-Squared Distribution Stata: qchi. ↗
• qexp() — The Exponential Distribution Stata: invexponential. ↗
• qf() — The F Distribution Stata: invF. ↗
• qgamma() — The Gamma Distribution Stata: invgammap. ↗
• qlogis() — The Logistic Distribution Stata: invlogistic. ↗
• qnorm() — Normal quantile Stata: invnormal(). ↗
• qqplot() — Quantile-Quantile Plots Stata: qqplot. ↗
• qt() — The Student t Distribution Stata: invt. ↗
• qtukey() — The Studentized Range Distribution Stata: invtukeyprob. ↗
• quantile() — Quantiles Stata: pctile. ↗
• quasibinomial() — Binomial family that allows survey weights
• quasipoisson() — Family Objects for Models Stata: svy. ↗
• qweibull() — The Weibull Distribution Stata: invweibull. ↗
• rbeta() — The Beta Distribution Stata: rbeta. ↗
• rbinom() — Binomial random numbers Stata: rbinomial(). ↗
• rcauchy() — The Cauchy Distribution Stata: rcauchy. ↗
• rchisq() — The (non-central) Chi-Squared Distribution Stata: rchi2. ↗
• relevel() — Choose the base category of a factor
• reshape() — Reshape Grouped Data Stata: icc. ↗
• residuals() — Model residuals Stata: predict, residuals. ↗
• rexp() — The Exponential Distribution Stata: rexponential. ↗
• rgamma() — The Gamma Distribution Stata: rgamma. ↗
• rhyper() — The Hypergeometric Distribution Stata: rhypergeometric. ↗
• rlogis() — The Logistic Distribution Stata: rlogistic. ↗
• rnbinom() — The Negative Binomial Distribution Stata: rnbinomial. ↗
• rnorm() — Normal random numbers
• rpois() — The Poisson Distribution Stata: rpoisson. ↗
• rstandard() — Regression Deletion Diagnostics Stata: predict. ↗
• rstudent() — Regression Deletion Diagnostics Stata: predict. ↗
• rt() — The Student t Distribution Stata: rt. ↗
• runif() — Uniform random numbers
• runmed() — Running Medians – Robust Scatter Plot Smoothing Stata: tssmooth. ↗
• rweibull() — The Weibull Distribution Stata: rweibull. ↗
• sd() — Standard deviation
• setNames() — Set the Names in an Object Stata: labmask. ↗
• shapiro.test() — Shapiro-Wilk normality test
• sigma() — Extract Residual Standard Deviation ‘Sigma’ Stata: estat. ↗
• spectrum() — Spectral Density Estimation Stata: pergram. ↗
• step() — Stepwise model selection Stata: stepwise. ↗
• StructTS() — Fit Structural Time Series Stata: sspace. ↗
• t.test() — t test and confidence interval of a mean
• ts() — Time-series object Stata: tsset. ↗
• TukeyHSD() — Tukey multiple comparisons Stata: pwcompare, mcompare(tukey). ↗
• uniroot() — One Dimensional Root (Zero) Finding Stata: ciwidth. ↗
• update() — Refit a model with changes Stata: regress. ↗
• var() — Variance Stata: summarize, detail. ↗
• var.test() — F test of equal variances Stata: sdtest. ↗
• varimax() — Rotation Methods for Factor Analysis Stata: rotate. ↗
• vcov() — Variance-covariance matrix of a model
• weighted.mean() — Weighted mean Stata: summarize [aweight = w]. ↗
• wilcox.test() — Wilcoxon rank-sum or signed-rank test
• xtabs() — Cross-tabulation from a formula Stata: tabulate x1 x2. ↗

stringi

• stri_reverse() — Reverse Each String Stata: ustrreverse. ↗
• stri_trans_nfc() — Perform or Check For Unicode Normalization Stata: ustrnormalize. ↗
• stri_trans_nfkc() — Perform or Check For Unicode Normalization Stata: ustrnormalize. ↗

stringr

• fixed() — Match text literally rather than as a regular expression
• regex() — Regular expression with options such as ignore_case
• str_c() — Join strings Stata: generate s = a + b. ↗
• str_count() — Count matches in a string
• str_detect() — Whether a string contains a pattern
• str_dup() — Repeat a string Stata: "-" * 10. ↗
• str_ends() — Whether a string ends with a pattern Stata: substr(). ↗
• str_extract() — Extract the matching text
• str_extract_all() — Extract every match Stata: ustrregexs(). ↗
• str_flatten() — Collapse a vector into one string Stata: levelsof, separate(). ↗
• str_glue() — Fill a text template Stata: display "`x'". ↗
• str_length() — Number of characters
• str_locate() — Position of a match Stata: strpos(). ↗
• str_match() — Extract the groups of a regular expression Stata: regexs(). ↗
• str_pad() — Pad a string to a fixed width Stata: string(x, "%05.0f"). ↗
• str_remove() — Remove the first match Stata: subinstr(). ↗
• str_remove_all() — Remove every match Stata: subinstr(). ↗
• str_replace() — Replace the first match
• str_replace_all() — Replace every match
• str_split() — Split strings into pieces Stata: split. ↗
• str_squish() — Trim spaces and collapse repeated spaces
• str_starts() — Whether a string starts with a pattern Stata: substr(). ↗
• str_sub() — Part of a string by position
• str_subset() — Keep the strings that match Stata: keep if regexm(). ↗
• str_to_lower() — Lower case
• str_to_sentence() — Sentence case Stata: strproper(). ↗
• str_to_title() — Title case
• str_to_upper() — Upper case
• str_trim() — Remove leading and trailing spaces
• str_trunc() — Shorten strings to a width Stata: abbrev(). ↗
• str_wrap() — Wrap text into lines Stata: display. ↗
• word() — Extract words from a sentence

survey

• as.svrepdesign() — Convert a survey design to use replicate weights Stata: svyset. ↗
• cv() — Summary statistics for sample surveys Stata: estat. ↗
• deff() — Summary statistics for sample surveys Stata: estat. ↗
• degf() — Contingency tables for survey data Stata: svydescribe. ↗
• postStratify() — Post-stratify a survey Stata: svyset. ↗
• rake() — Raking of replicate weight design Stata: svyset. ↗
• svyby() — Survey statistics on subsets Stata: svy. ↗
• svychisq() — Contingency tables for survey data Stata: svy. ↗
• svyciprop() — Confidence intervals for proportions Stata: svy. ↗
• svydesign() — Declare a survey design (survey package) Stata: svyset. ↗
• svyglm() — Survey-weighted regression
• svymean() — Survey-weighted mean (survey package) Stata: svy: mean. ↗
• svyratio() — Ratio estimation Stata: svy. ↗
• svytable() — Survey-weighted table Stata: svy: tabulate. ↗
• svytotal() — Summary statistics for sample surveys Stata: svy. ↗

survival

• basehaz() — Alias for the survfit function Stata: predict. ↗
• clogit() — Conditional logit
• concordance() — Compute the concordance statistic for data or a model Stata: estat. ↗
• cox.zph() — Test the Proportional Hazards Assumption of a Cox Regression Stata: estat. ↗
• coxph() — Cox proportional hazards model
• finegray() — Create data for a Fine-Gray model Stata: stcrreg. ↗
• frailty() — Random effects terms Stata: stcox. ↗
• strata() — Stratum term in a survival model formula
• Surv() — Survival-time outcome for a model
• survdiff() — Log-rank test
• survfit() — Kaplan-Meier survival curves
• survreg() — Parametric survival model
• survSplit() — Split a survival data set at specified times Stata: stsplit. ↗

Synth

• synth() — Synthetic control

tibble

• add_row() — Add rows to a table Stata: set obs. ↗
• as_tibble() — Convert to a tibble
• rownames_to_column() — Turn row names into a column Stata: xpose. ↗
• tibble() — Create a data frame (tibble)
• tribble() — Type a small table row by row Stata: input. ↗

tidyr

• complete() — Add rows for missing combinations of values
• crossing() — All combinations, sorted and unique Stata: cross. ↗
• drop_na() — Drop rows with missing values Stata: drop if missing(x). ↗
• expand() — All combinations of values, dropping other columns Stata: fillin. ↗
• expand_grid() — Table of every combination of given values Stata: cross. ↗
• fill() — Fill missing values with the previous or next value
• full_seq() — Complete sequence of values Stata: tsfill. ↗
• nest() — Nest rows into list-columns, one row per group Stata: by. ↗
• pivot_longer() — Reshape from wide to long
• pivot_wider() — Reshape from long to wide
• replace_na() — Replace missing values Stata: replace x = 0 if missing(x). ↗
• separate_longer_delim() — Split text into rows Stata: split. ↗
• separate_wider_delim() — Split one text column into several
• separate_wider_position() — Split text into columns by position Stata: substr(). ↗
• uncount() — Repeat each row a given number of times
• unite() — Join columns into one Stata: egen concat(). ↗
• unnest() — Expand list-columns back into rows Stata: expand. ↗

tidystata

• as_character() — Alias of decode() Stata: decode. ↗
• as_dummy() — Dummy variables for every category
• as_numeric() — Alias of destring() Stata: destring. ↗
• assert() — Stop and count the rows where a condition fails
• browse() — View data in a spreadsheet window
• capture() — Run code and return TRUE or FALSE instead of stopping on an error
• codebook() — Describe every variable: type, label, counts and values
• cut_quantile() — Alias of xtile() Stata: xtile. ↗
• decode() — Convert to text, using value labels for labelled data
• destring() — Convert to numbers, dropping value labels
• ds() — List variable names
• duplicates_drop() — Drop duplicated rows, keeping the first
• duplicates_list() — List duplicated rows
• duplicates_report() — Count duplicated rows
• duplicates_tag() — Mark duplicated rows
• findit() — Find the R equivalent of a Stata command
• fre() — Frequency table with a total row
• fre2() — Two-way cross-tabulation with row and column totals Stata: tabulate. ↗
• is_first() — Mark the first row of each group
• isid() — Check that variables uniquely identify the rows
• misstable() — Missing values per variable, or missing-value patterns
• mvdecode() — Turn given codes into missing values
• mvencode() — Replace missing values with a code
• na_if_value() — Alias of mvdecode() Stata: mvdecode. ↗
• pc() — Percentage of the total
• pct() — Alias of pc() Stata: egen pc(). ↗
• print_all() — Print every row and column
• pwcorr() — Pairwise correlations with counts and p-values
• row_max() — Maximum across variables in each row
• row_mean() — Mean across variables in each row
• row_median() — Median across variables in each row
• row_min() — Minimum across variables in each row
• row_miss() — Number of missing values in each row
• row_non_miss() — Number of observed values in each row
• row_nvals() — Number of distinct values in each row, ignoring missing values
• row_sd() — Standard deviation across variables in each row
• row_sum() — Sum across variables in each row
• row_unique() — Number of distinct values in each row, counting missing as one Stata: egen rownvals(). ↗
• set_seed() — Set the random seed, alone or at the end of a pipe
• stata_diff() — Difference from the previous period, respecting time gaps
• stata_lag() — Value from an earlier period, respecting time gaps
• stata_lead() — Value from a later period, respecting time gaps
• stata_merge() — Merge two tables and report matches, like Stata’s merge
• std() — Standardise to mean 0 and standard deviation 1
• summ() — Summary statistics for variables
• tab() — Frequency table
• tab1() — One frequency table per variable
• tab2() — Two-way cross-tabulation, or every pairwise table
• tab_gen() — Alias of as_dummy() Stata: tabulate, generate(). ↗
• tabstat() — Chosen statistics for variables, optionally by group
• timer() — Time how long code takes
• tostring() — Convert to text, keeping codes rather than value labels
• value_if_na() — Alias of mvencode() Stata: mvencode. ↗
• variables() — List variables with their types and labels
• variables_search() — Find variables by name or label
• varlist() — Select variables with Stata wildcards such as x*
• xtile() — Quantile groups, following Stata’s xtile

tools

• md5sum() — Compute MD5 Checksums Stata: checksum. ↗

tseries

• garch() — Fit GARCH Models to Time Series Stata: arch. ↗

tsibble

• as_tsibble() — Declare time-series or panel data
• fill_gaps() — Add rows for missing time points
• yearmonth() — Monthly period
• yearquarter() — Quarterly period

urca

• ca.jo() — Johansen Procedure for VAR Stata: vecrank. ↗
• cajorls() — OLS regression of VECM Stata: vec. ↗
• ur.df() — Augmented-Dickey-Fuller Unit Root Test Stata: dfuller. ↗
• ur.ers() — Elliott, Rothenberg and Stock Unit Root Test Stata: dfgls. ↗
• ur.pp() — Phillips and Perron Unit Root Test Stata: pperron. ↗

utils

• capture.output() — Send Output to a Character String or File Stata: dataex. ↗
• combn() — Generate All Combinations of n Elements, Taken m at a Time Stata: tab2. ↗
• data() — Load a built-in example dataset
• getAnywhere() — Find where a function is defined
• glob2rx() — Turn a wildcard pattern into a regular expression
• head() — First rows
• help() — Open a help page
• help.search() — Search all installed help pages
• install.packages() — Install a package from CRAN
• object.size() — Report the Space Allocated for an Object Stata: memory. ↗
• packageVersion() — Package Description Stata: ftools. ↗
• read.csv() — Read a CSV file (base R) Stata: import delimited. ↗
• read.delim() — Data Input Stata: import. ↗
• read.fwf() — Read Fixed Width Format Files Stata: infix. ↗
• read.table() — Data Input Stata: infile. ↗
• sessionInfo() — Collect Information About the Current R Session Stata: about. ↗
• str() — Compact view of an object’s structure
• tail() — Last rows
• unzip() — Extract or List Zip Archives Stata: unzipfile. ↗
• update.packages() — Update installed packages
• View() — Open the data viewer Stata: browse. ↗
• write.csv() — Write a CSV file (base R) Stata: export delimited. ↗
• write.table() — Data Output Stata: outfile. ↗

VGAM

• binom2.rho() — Bivariate Probit Regression Stata: biprobit. ↗
• cens.poisson() — Censored Poisson Family Function Stata: cpoisson. ↗
• multinomial() — Multinomial Logit Model Stata: slogit. ↗
• posnegbinomial() — Positive Negative Binomial Distribution Family Function Stata: tnbreg. ↗
• posnormal() — Positive Normal Distribution Family Function Stata: truncreg. ↗
• pospoisson() — Positive Poisson Distribution Family Function Stata: tpoisson. ↗
• rrvglm() — Fitting Reduced-Rank Vector Generalized Linear Models (RR-VGLMs) and Doubly Constrained RR-VGLMs (DRR-VGLMs) Stata: slogit. ↗
• SurvS4() — Create a Survival Object Stata: cpoisson. ↗
• vglm() — Fitting Vector Generalized Linear Models Stata: tpoisson. ↗

WeightIt

• weightit() — Balancing weights, such as inverse-probability weights

writexl

• write_xlsx() — Write an Excel file

zip

• zipr() — Compress Files into ‘zip’ Archives Stata: zipfile. ↗

zoo

• na.locf() — Last Observation Carried Forward Stata: stfill. ↗
• rollapply() — Apply Rolling Functions Stata: rolling. ↗