binMatrix: Binned representation of a matrix
In FCSlib: A Collection of Fluorescence Fluctuation Spectroscopy Analysis Methods

Description Usage Arguments Details Value Author(s) See Also Examples

Groups each column in a matrix into several bins of a given length for better (and faster) data plotting

1	binMatrix(f, lineTime, nIntervals, columns, mode = "mean", plot = TRUE)

`f`	A vector or a matrix
`lineTime`	Line (row) acquisition rate (in seconds)
`nIntervals`	Number of intervals into which the all columns will be grouped
`columns`	Number of columns of the resulting binned matrix
`mode`	Set to "mean" (default) or "sum" to average or sum all the points in every interval, respectively
`plot`	Boolean, set to TRUE (default) to plot the result

This function groups all the points in each column of the matrix 'f' into 'nIntervals' bins of length = length(f)/nIntervals. Then, averages or sums all of the points in each bin and plots the result. If 'f' is a vector, 'columns' is used to build the resulting matrix. If 'f' is a matrix, then 'columns' takes the value of the number of columns in 'f'.

A matrix of 'nIntervals' rows

Alejandro Linares

binTimeSeries

### Please navigate to
### (https://github.com/FCSlib/FCSlib/tree/master/Sample%20Data)
### to find this sample data

# Automatic plot
x <- read.table("Pax.dat")
x <- binMatrix(x[,1], lineTime =  1e-3, nIntervals =  500,
               columns = 64, mode = "mean", plot = T)

# Manual plot (useful for adding custom labels)
x <- read.table("Pax.dat")
x <- binMatrix(x[,1], lineTime =  1e-3, nIntervals =  500,
               columns = 64, mode = "mean", plot = F)
image.plot(x)