lazyDateCoding: Efficient coding of date variables

In Publish: Format Output of Various Routines in a Suitable Way for Reports and Publication

Efficient coding of date variables

Description

This function eases the process of generating date variables. All variables in a data.frame which match a regular expression are included

Usage

lazyDateCoding(data, format, pattern, varnames, testlength = 10)

Arguments

data	Data frame in which to search for date variables.
format	passed to as.Date
pattern	match date variables
varnames	variable names
testlength	how many rows of data should be evaluated to guess the format.

Details

The code needs to be copy-and-pasted from the R-output buffer into the R-code buffer. This can be customized for the really efficiently working people, e.g., in emacs.

Value

R-code one line for each variable.

Author(s)

Thomas Alexander Gerds

Examples

d <- data.frame(x0="190101",x1=c("12/8/2019"),x2="12-8-2019",x3="20190812",stringsAsFactors=FALSE)
lazyDateCoding(d,pattern="x")
lazyDateCoding(d,pattern="3")

Publish documentation built on Jan. 18, 2023, 1:08 a.m.