Package index • stevemisc

Functions

These are miscellaneous functions I’ve written to serve my research or pedagogical needs.

center_at() diff_at() group_mean_center_at() lag_at() log_at() mean_at() r1sd_at() r2sd_at(): Scoped Helper Verbs

binred_plot(): Generate a Binned-Residual Plot from a Fitted Generalized Linear Model

carrec() carr(): Recode a Variable

cor2data(): Simulate Data from Correlation Matrix

corvectors(): Create multivariate data by permutation

db_lselect(): Lazily select variables from multiple tables in a relational database

fct_reorg(): Reorganize a factor after "re-leveling" it

filter_refs(): Filter a Data Frame of Citations and Return the Entries as a Character

get_sims(): Get Simulations from a Model Object (with New Data)

get_var_info() gvi(): Get a small data frame of the variable label and values.

theme_steve_web() post_bg() theme_steve_ms() theme_steve_font(): Legacy functions for Steve's Preferred ggplot2 Themes and Assorted Stuff

jenny(): Set the Only Reproducible Seed That Matters

linloess_plot(): Compare Linear Smoother to LOESS Smoother for Your OLS Model

make_perclab(): Make Percentage Label for Proportion and Add Percentage Sign

make_scale(): Rescale Vector to Arbitrary Minimum and Maximum

mround(): Multiply a Number by 100 and Round It (By Default: 2)

`%nin%`: Find Non-Matching Elements

normal_dist(): Make and annotate a normal distribution with ggplot2

p_z(): Convert the p-value you want to the z-value it actually is

prepare_refs(): Prepare bib2df Data Frame for Formatting to Various Outputs

print_refs(): Print and Format .bib Entries as References

ps_btscs(): Create "peace years" or "spells" by cross-sectional unit, more generally

ps_spells(): Create "spells" by cross-sectional unit, even more generally

r1sd(): Scale a vector by one standard deviation

r2sd(): Scale a vector (or vectors) by two standard deviations

rbnorm(): Bounded Normal (Really: Scaled Beta) Distribution

rd_plot(): Residual Density Plot for Linear Models

revcode(): Reverse code a numeric variable

sbayesboot(): Bootstrap a Regression Model, the Bayesian Way

sbtscs(): Create "peace years" or "spells" by cross-sectional unit

show_ranef(): Get a caterpillar plot of random effects from a mixed model

smvrnorm(): Simulate from a Multivariate Normal Distribution

dst() pst() qst() rst(): The Student-t Distribution (Location-Scale)

tbl_df() to_tbl(): Convert data frame to an object of class "tibble"

wls(): Get Weighted Least Squares of Your OLS Model

wom(): Generate Week of the Month from a Date

Datasets

These are toy data sets necessary for illustrating or testing functions, or might be data sets that just found their way here for one reason or another.

charitable_contributions: Charitable Contributions Panel Data

ess9_labelled: Some Labeled Data in the European Social Survey (Round 9)

fra_leaderyears: French Leader-Years, 1874-2015

gmy_dyadyears: German Dyad-Years, 1816-2020

map_quiz: Map Quiz Wrong Guesses Across Five Intro to IR Courses

stevepubs: An Incomplete List of My Publications, All of Which You Should Cite

strategic_rivalries: Strategic Rivalries, 1494-2010

usa_mids: United States Militarized Interstate Disputes (MIDs)