Function reference • LalRUtils

All functions

DMLReg(): Simple Double-ML implementation with cross-fitting

KS2007_dgp(): Kang Schaefer (2007) DGP for 'mild' confounding

OLSw(): Compute OLS with arbitrary vector of weights (possibly negative)

ate_diffmeans(): Simple Difference in Means estimator for binary treatment (for HW etc)

balance_table(): Balance Check for observational studies

bboot(): Bayesian bootstrap for linear regression

binscatter(): R implementation of binned scatterplot and CEF plotter, with added options for cluster variance

calibPlot(): plot calibration

chr(): coerce to string

classifEval(): Classification Evaluation

clip(): clip vector to specified range (clone of np.clip)

convert_all_to_csv(): Writes all dataframes to csv

createFolds(): create folds for cross-fitting

csv_to_sqlite(): Fork of inborutils::csv_to_sqlite to save a delimited text table into a single table sqlite database that can then be munged w dplyr/ dbplyr / sqldf

dataPkg(): list datasets in package

dta_vlabs(): Small summary table with stata variable labels from DTA file

expit(): inverse logit fn

fitGet(): return cross-fit predictions from glmnet object

fmla_kth(): construct formula with outcome and polynomial terms

formula_fixest(): Stitches together formula for use in fixest::feols

formula_lfe(): Stitches together formula for use in felm

formula_stitcher(): Stitches together formula for use in lm/glm

freq_table(): Summary table with percentages for categorical variables

fromLimportF(): Loads specific function or list of functions f from library l

fuzzy_match(): fuzzy matches 2 character vectors, and returns most similar pairs

getNthElement(): Get n'th element in list of lists

get_and_unzip(): downloads and unzips file if it is not found in current wdir

`%!in%`: not.in function

interSparseM(): prepare sparse X matrix with interactions

label_extractor(): extracts variable labels and returns a dataframe with varname-varlabel for DTA files

lal_map_theme(): Theme for maps

lal_plot_theme(): theme for nice looking plots with sensible defaults (no legend title, legend at the bottom)

lal_plot_theme_d(): Wrapper for hrbrthemes::theme_ft_rc() with bigger font, altered legend options and dots

lalonde.exp: Experimental data from the job training program first studied by LaLonde (1986)

lalonde.psid: Non-experimental data from Lalonde (1986)

libreq(): Loads a list of libraries, installs when necessary - Take 2

listOmitIf(): Omit element if it contains "contains"

load_or_install(): Loads a list of libraries, installs when necessary

lv(): last value

mMscale(): min-max scale (maps continuous variable to [0, 1])

matr(): matrix constructor

mcReplicate(): Multi-core replicate. Use multiple cores for repeated evaluation of an expression.

mls(): list methods for object

multiplot(): Stitches together multiple ggplot objects for export-ready graphs

naOmitList(): Omit NA entries in list

newtonRoot(): solve for roots using the NR update rule x1 = x0 − f(x0)/f'(x0)

norm_diff(): Normalised Difference (Imbens, Rubin 2015) for observational studies

nunique(): number of unique values in vector

overlap_histogram(): Histogram of pscore distributions in treatment and control groups

panelMatrices(): Convert a long panel to wide matrix (cleaner data.table version)

panel_treat_plot(): plot binary treatment status for time series for panel dataset

polySieveM(): prepare X matrix with flexible interactions and polynomials

portal_hexcodes(): Hex codes for portal game colours (blue and orange)

prplot(): Partial Residual Plot

rdr_export(): Summary table for Rdrobust estimates to export using kableExtra

read_all_files(): Reads in all datasets in given location

reg_adjust(): Regression Adjustment estimation of ATE or ATT

regplot_dens(): Scatterplot with regression line and densites by grouping variable. Use this to evaluate overlap.

residualise(): Partial out controls and fixed effects and return residualised outcome and treatment

robustify(): Replaces the standard errors (t and p vals)in FELM model object with robust SE

sourceDir(): Source all R scripts in directory

stat_transfer_data(): Populates a stat-transfer script to convert files to CSV

subclassify(): Compute subclassification ATT and ATE

summar(): Summary table

summary(<bboot>): summary method for bayesian bootstrap

timeStamp(): Timestamp with no spaces for filenames

tsplotter(): Canned subroutine to plot time series for several variables

ttsplit(): test-train split

vnorm(): t-norm of a vector

withFrame(): ggplot with frame