mt.aggregate: Aggregate trajectories

In jmbh/mt.analysis: Some function to process 2D motor-tracing data from 2-alternative choice tasks

Description

Aggregates trajectories according to a factorial design based on specified variables.

Usage

mt.aggregate(data, i.aggr, i.xyt)

Arguments

data	n x m - matrix with n measurements and m variables
i.aggr	Vector of column names of the variables used for aggregation (if there is more than one variable the data is aggregated for each cell of the factorial design)
i.xyt	Column names of columns containing x,y and time (in that order)

Value

Returns a matrix with ....

Examples

head(dataprocessed) #example dataset

data.aggregated <- mt.aggregate(data = dataprocessed, 
                                i.aggr=c("group"), 
                                i.xyt=c("x", "y", "t"))
                                
head(data.aggregated)                    

jmbh/mt.analysis documentation built on May 19, 2019, 1:51 p.m.