Reference

Recoding addins RStudio addins for variables manipulation.
irec()	Interactive recoding
iorder()	Interactive reordering of factor levels
icut()	Interactive conversion from numeric to factor
Frequency tables Functions to help working with one-way and two-way frequency tables.
freq()	Generate frequency tables.
rprop()	Row percentages of a two-way frequency table.
cprop()	Column percentages of a two-way frequency table.
prop() prop_table()	Global percentages of a two-way frequency table.
chisq.residuals()	Return the chi-squared residuals of a two-way frequency table.
cramer.v()	Compute Cramer's V of a two-way frequency table
ltabs()	Cross tabulation with labelled variables
format(<proptab>)	S3 format method for proptab objects.
print(<proptab>)	S3 print method for proptab objects.
Multiple choices questions Functions to help working with multiple choices questions.
multi.table()	One-way frequency table for multiple choices question
cross.multi.table()	Two-way frequency table between a multiple choices question and a factor
multi.split()	Split a multiple choices variable in a series of binary variables
Datasets Example datasets.
fecondite	A fertility survey
enfants	A fertility survey - "enfants" table
femmes	A fertility survey - "femmes" table
menages	A fertility survey - "menages" table
fertility	A fertility survey
children	A fertility survey - "children" table
women	A fertility survey - "women" table
households	A fertility survey - "households" table
happy	Data related to happiness from the General Social Survey, 1972-2006.
hdv2003	Histoire de vie 2003
rp2012	2012 French Census - French cities of more than 2000 inhabitants
rp2018	2018 French Census - French cities of more than 2000 inhabitants
Weighted variables Functions to deal with weighted variables
wtd.table()	Weighted one-way and two-way frequency tables.
wtd.mean()	Weighted mean and variance of a vector
ggsurvey()	Easy ggplot2 with survey objects
tabs()	Weighted Crossresult
Data manipulation helpers Function helping for common data manipulation tasks.
addNAstr()	Transform missing values of a factor to an extra level
duplicated2()	Determine all duplicate elements
`%||%`	Return first non-null of two values
freq.na()	Generate frequency table of missing values.
na.rm()	Remove observations with missing values
quant.cut()	Transform a quantitative variable into a qualitative variable
recode.na()	Recode values of a variable to missing values, using exact or regular expression matching.
rename.variable()	Rename a data frame column
rm.unused.levels()	Remove unused levels
Odds ratio Functions to compute and deal with odds ratio.
odds.ratio() print(<odds.ratio>)	Odds Ratio
Utils Utility functions.
clipcopy()	Transform an object into HTML and copy it for export
describe() print(<description>)	Describe the variables of a data.frame
reexports look_for lookfor	Objects exported from other packages
qload()	Load one or more packages, installing them first if necessary
qscan()	Scan R scripts and load/install all detected packages
escape_regex()	Escape regex special chars Code directly taken from Hmisc::escapeRegex