| plotGpdot {oreo} | R Documentation |
Gp_t_dot vs Gpp_t_dot
Description
create Gp_t_dot vs Gpp_t_dot
create Gp_t_dot vs Gpp_t_dot
Usage
plotGpdot(Gp_t_dot, Gpp_t_dot, ...)
plotGpdot(Gp_t_dot, Gpp_t_dot, ...)
Arguments
Gp_t_dot |
from the output matrix from fft analysis or numerical differentiation analysis |
Gpp_t_dot |
from the output matrix from fft analysis or numerical differentiation analysis |
... |
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)
Gp_t_dot= out$spp_data_out$Gp_t_dot
Gpp_t_dot= out$spp_data_out$Gpp_t_dot
plotGpdot(Gp_t_dot,Gpp_t_dot)