signal_aggregate function

Aggregate a signal vector

The signal vector data is aggregated by an integer factor n. If an eseis object is provided, the meta data is updated. The function is a wrapper for the funcion decimate of the package signal.

signal_aggregate(data, n = 2, type = "iir")

Arguments

• data: eseis object, numeric vector or list of objects, data set to be processed.
• n: Numeric value, number of samples to be aggregated to one new data value. Must be an integer value greater than 1. Default is 2.
• type: Character value, filter type used for aggregation. For details see documentation of signal::decimate. Default is "iir".

Returns

Aggregated data set.

Examples

## load example data set
data(rockfall)

## aggregate signal by factor 4 (i.e., dt goes from 1/200 to 1/50)
rockfall_agg <- signal_aggregate(data = rockfall_z, 
                                 n = 4)

## create example data set
s <- 1:10
  
## aggregate x by factor 2
s_agg_2 <- signal_aggregate(data = s,
                            n = 2)
                              
## aggregate x by factor 3
s_agg_3 <- signal_aggregate(data = s, 
                            n = 3)
                              
## plot results
plot(x = s,
     y = rep(x = 1, times = length(s)),
     ylim = c(1, 3))
     
points(x = s_agg_2, 
       y = rep(x = 2, times = length(s_agg_2)), 
       col = 2)

points(x = s_agg_3, 
       y = rep(x = 3, times = length(s_agg_3)), 
       col = 3)
       
abline(v = s_agg_2,
       col = 2)

abline(v = s_agg_3, 
       col = 3)
       
## create signal matrix
X <- rbind(1:100, 1001:1100, 10001:10100)

## aggregate signal matrix by factor 4
X_agg <- signal_aggregate(data = X, 
n = 4)

Author(s)

Michael Dietze