mmv: Maximal mean values.

In cycleRtools: Tools for Cycling Data Analysis

Description

Calculate maximal mean values for specified time periods.

Usage

mmv(data, column, windows, deltat = NULL, character.only = FALSE)

Arguments

data	a formatted dataset produced by read*().
column	column in data giving the values of interest. Needn't be quoted.
windows	window size(s) for which to generate best averages, given in seconds.
deltat	the sampling frequency of data in seconds per sample; typically 0.5 or 1. If NULL, this is estimated.
character.only	are column name arguments given as character strings? A backdoor around non-standard evaluation. Mainly for internal use.

Value

a matrix object with two rows: 1) best mean values and 2) the time at which those values were recorded

See Also

For a more generic and efficient version of this function, see mmv2

Examples

data(ridedata)

## Best power for 5 and 20 minutes.
tsec <- c(5, 20) * 60
mmv(ridedata, power.W, tsec)

## Generate a simple critical power estimate.
tsec <- 2:20 * 60
pwrs <- mmv(ridedata, power.W, tsec)
m <- lm(pwrs[1, ] ~ {1 / tsec})  # Simple inverse model.
coef(m)[1]  # Intercept = critical power.

## More complex models...
m <- Pt_model(pwrs[1, ], tsec)
print(m)
## Extract the asymptote of the exponential model.
coef(m)$exp["CP"]

cycleRtools documentation built on May 2, 2019, 10:51 a.m.