cumulative_evolution: Compute cumulative C evolved
In PNNL-TES/picarro.data: Parse and Compute on Picarro Analyzer Files
Description
Usage
Arguments
Details
Value
Examples
Description
Compute cumulative C evolved
Usage
1
cumulative_evolution(time, flux, interpolate = TRUE)
Arguments
time
Time, typically s or hr but arbitrary; numeric
flux
Flux, in units of X/unit time; numeric
interpolate
Interpolate missing values? Logical
Details
X evolved at timestep i is the
lag between time[i] and time[i-1] multiplied by the mean of
flux[i] and flux[i-1].
The first timestamp value is considered as time zero, so its corresponding
cumulative value will always be zero.
Value
A vector of cumulative values of X evolved.
Examples
1
2
cumulative_evolution(1:4, c(1, 1, NA, 1))
cumulative_evolution(1:4, c(1, 1, 2, 1))
PNNL-TES/picarro.data documentation built on Nov. 14, 2019, 11:03 p.m.
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Description Usage Arguments Details Value Examples
Description
Compute cumulative C evolved
Usage
1 | cumulative_evolution(time, flux, interpolate = TRUE)
|
Arguments
time |
Time, typically s or hr but arbitrary; numeric |
flux |
Flux, in units of X/unit time; numeric |
interpolate |
Interpolate missing values? Logical |
Details
X evolved at timestep i is the
lag between time[i] and time[i-1] multiplied by the mean of
flux[i] and flux[i-1].
The first timestamp value is considered as time zero, so its corresponding
cumulative value will always be zero.
Value
A vector of cumulative values of X evolved.
Examples
1 2 | cumulative_evolution(1:4, c(1, 1, NA, 1))
cumulative_evolution(1:4, c(1, 1, 2, 1))
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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