PLOT.TTS | R Documentation |
Plots of TTS results: experimental data, horizontal and vertical shifts, TTS data, TTS Master Curve fitting with B-Splines and bootstrap confidence intervals are deployed.
PLOT.TTS(x)
x |
TTS object. |
TTS plots are performed from the outputs of TTS function: data, aT, bT, TTS.data, TTS.gam y residuals.
The following values are returned:
PLOT.data() |
Generic function to plot the experimental data. By default log10.module versus log10.frequency. |
PLOT.aT() |
Generic plot of the horizontal shifts corresponding to each curve (modulus versus frequency) obtained on temperature. |
PLOT.bT() |
Generic plot of the vertical shifts corresponding to each curve (modulus versus frequency) obtained on temperature. |
PLOT.TTS.data() |
Generic plot of the experimental data horizontally and vertically shifted with respect to a the curve corresponding to the reference temperature. |
PLOT.TTS.gam() |
Generic plot of the Master Curve B-splines estimation with bootstrap confidence intervals at 95 per cent. |
PLOT.res() |
Generic plot of the residuals of Master Curve B-splines fitting. |
Antonio Meneses antoniomenesesfreire@hotmail.com, Salvador Naya salva@udc.es and Javier Tarrio-Saavedra jtarrio@udc.es
Naya, S., Meneses A., Tarrio-Saavedra, J., Artiaga R.,
Lopez-Beceiro, J. and Gracia-Fernandez C. (2013) New method for estimating
shift factors in time-temperatura superposition models. Journal of Thermal
Analysis and Calorimetry. ISSN 1388-6150. DOI 10.1007/s10973-013-3193-1.
Williams, M. L. (1964) Structural analysis of Viscoelastic materials. AIAA
Journal, 785-808.
Artiaga R., Garcia A. Fundamentals of DMA. In: 'Thermal analysis.
Fundamentals and applications to material characterization' (ed.: Artiaga
R.) Publicaciones de la Universidade da Coruna, A Coruna, Spain, 183-206
(2005).
## TTS object applied to PC dataset. data(PC) Derive <- TTS(PC) x <- Derive ## Generic plots for TTS analysis PLOT <- PLOT.TTS(x) names(PLOT) ##[1] "PLOT.data" "PLOT.aT" "PLOT.bT" "PLOT.TTS.data" ##[5] "PLOT.TTS.gam" "PLOT.res" ## Generic plots of: data, aT, bT, TTS.data, TTS.gam and res PLOT$PLOT.data(main="PLOT: Data",xlab="log10.Frequency (rad/s)",ylab="log10.E'(Pa)") PLOT$PLOT.aT(main="PLOT: horizontal translation factors", xlab="Temperature", ylab="aT") PLOT$PLOT.bT(main="PLOT: vertical translation factors", xlab="Temperature",ylab="bT") PLOT$PLOT.TTS.data(xlab="log10.Frequency (rad/s)",ylab="log10.E'(Pa)") PLOT$PLOT.TTS.gam( xlab="log10.Frequency (rad/s)", ylab = "log10.E'(Pa)", main = "Fitted gam, Bootstrap confidence intervals", sub = "Reference temperature = 150 degrees celsius") PLOT$PLOT.res(main="TTS: gam residual", xlab="Fitted", ylab="Standardized residuals")
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.