| plotTimeRate {oreo} | R Documentation |
Rate, time_wave plot
Description
create Rate, time_wave plot
create Rate, time_wave plot
Usage
plotTimeRate(time_wave, rate, time_wave_in, strain_rate, ...)
plotTimeRate(time_wave, rate, time_wave_in, strain_rate, ...)
Arguments
time_wave |
from the output matrix from fft analysis or numerical differentiation analysis |
rate |
from the output matrix from fft analysis or numerical differentiation analysis |
time_wave_in |
raw time from input data |
strain_rate |
strain rate from input data |
... |
parameters of plot() |
Value
No return value
No return value
Author(s)
Giorgio Luciano and Serena Beretta, based on the Plotting functions created by Simon Rogers Group for Soft Matter
Giorgio Luciano and Serena Beretta, based on the Plotting functions created by Simon Rogers Group for Soft Matter
References
Simon A. Rogersa, M. Paul Letting, A sequence of physical processes determined and quantified in large-amplitude oscillatory shear (LAOS): Application to theoretical nonlinear models Journal of Rheology 56:1, 1-25
Simon A. Rogersa, M. Paul Letting, A sequence of physical processes determined and quantified in large-amplitude oscillatory shear (LAOS): Application to theoretical nonlinear models Journal of Rheology 56:1, 1-25
Examples
data(mydata)
df <- rpp_read2(mydata , selected=c(2, 3, 4, 0, 0, 1, 0, 0))
time_wave <- df$raw_time
resp_wave <- data.frame(df$strain,df$strain_rate,df$stress)
out <- Rpp_num(time_wave, resp_wave , L=1024, k=8, num_mode=1)
time_wave= out$spp_data_out$time_wave
rate= out$spp_data_out$rate
time_wave_in= out$spp_data_in$time_wave
strain_rate= out$spp_data_in$strain_rate
plotTimeRate(time_wave,rate,time_wave_in,strain_rate)