match_data_frame: MatchDataFrame

In Boom: Bayesian Object Oriented Modeling

MatchDataFrame

Description

Given two data frames with the same data, but with rows and columns in potentially different orders, produce a pair of permutations such that data2[row.permutation, column.permutation] matches data1.

Usage

MatchDataFrame(data.to.match, data.to.permute)

Arguments

data.to.match	The data frame to be matched.
data.to.permute	The data frame to be permuted.

Value

Returns a list with two elements.

column.permutation	A vector of indices such that the columns of data2[, column.permutation] match the columns of data1. The matching is based on column names.
row.permutation	A vector of indices such that the rows of data2[row.permutation, column.permutation] match the rows of data1. The matching is done by converting rows to strings, and matching the strings.

Author(s)

Steven L. Scott [e-mail]

Examples

 x1 <- data.frame(larry = rnorm(10), moe = 1:10, curly = rpois(10, 2))
 x2 <- x1[c(1:5, 10:6), c(3, 1, 2)]

 m <- MatchDataFrame(x1, x2)
 x2[m$row.permutation, m$column.permutation] == x1  ## all TRUE

Boom documentation built on May 29, 2024, 5:08 a.m.