splitdf: splitdf
In flightcallr: Classify Night Flight Calls Based on Acoustic Measurements

This will randomly split a data frame into training and test sets. I borrowed it from

http://gettinggeneticsdone.blogspot.com/2011/02/split-data-frame-into-testing-and.html

The caret packages has a similar facility using its createDataPartition() function.

Perhaps even more appealing, there is sample.split() in caTools.

1	splitdf(dataframe, weight = 2/3, seed = NULL)

`dataframe`	this is the data frame you want to split
`weight`	the weights for the different classes
`seed`	an optional seed

A list with two members; the training set and the test set

Jesse C. Ross

flightcallr documentation built on May 2, 2019, 5:49 p.m.

flightcallr index

Package overview

Note that we can't provide technical support on individual packages. You should contact the package authors for that.

Description