lrcorrelation {DFA} | R Documentation |

The data contains the data frame with log fluctuation channel curve simulated following an ARFIMA process with different DFA exponents ranging from short 0.1 to long 0.9 .

data("lrcorrelation")

A data frame with 40 observations on the following 10 variables.

- log10(boxes)
a numeric vector referring to the decimal logarithm of the boxes sizes.

- log10(DFA(alpha = 0.1))
a numeric vector referring to the decimal logarithm of the Detrended Fluctuation Analysis (DFA) with DFA exponent equal 0.1 and calculated in each boxe.

- log10(DFA(alpha = 0.2))
a numeric vector referring to the decimal logarithm of the Detrended Fluctuation Analysis (DFA) with DFA exponent equal 0.2 and calculated in each boxe.

- log10(DFA(alpha = 0.3))
a numeric vector referring to the decimal logarithm of the Detrended Fluctuation Analysis (DFA) with DFA exponent equal 0.3 and calculated in each boxe.

- log10(DFA(alpha = 0.4))
a numeric vector referring to the decimal logarithm of the Detrended Fluctuation Analysis (DFA) with DFA exponent equal 0.4 and calculated in each boxe.

- log10(DFA(alpha = 0.5))
a numeric vector referring to the decimal logarithm of the Detrended Fluctuation Analysis (DFA) with DFA exponent equal 0.5 and calculated in each boxe.

- log10(DFA(alpha = 0.6))
a numeric vector referring to the decimal logarithm of the Detrended Fluctuation Analysis (DFA) with DFA exponent equal 0.6 and calculated in each boxe.

- log10(DFA(alpha = 0.7))
a numeric vector referring to the decimal logarithm of the Detrended Fluctuation Analysis (DFA) with DFA exponent equal 0.7 and calculated in each boxe.

- log10(DFA(alpha = 0.8))
a numeric vector referring to the decimal logarithm of the Detrended Fluctuation Analysis (DFA) with DFA exponent equal 0.8 and calculated in each boxe.

- log10(DFA(alpha = 0.9))
a numeric vector referring to the decimal logarithm of the Detrended Fluctuation Analysis (DFA) with DFA exponent equal 0.9 and calculated in each boxe.

library(DFA) #library(latex2exp) # it is necessary for legend of the plot function data(lrcorrelation) plot(lrcorrelation$`log10(boxes)`,lrcorrelation$`log10(DFA(alpha = 0.9))` ,xlab="log10(n)",ylab="log10FDFA(n)",col="black" ,pch=19, ylim= c(-0.8,1.2)) lines(lrcorrelation$`log10(boxes)`,lrcorrelation$`log10(DFA(alpha = 0.8))`,type="p" ,col="blue", pch=19) lines(lrcorrelation$`log10(boxes)`,lrcorrelation$`log10(DFA(alpha = 0.7))`,type="p" ,col="red", pch=19) lines(lrcorrelation$`log10(boxes)`,lrcorrelation$`log10(DFA(alpha = 0.6))`,type="p" ,col="green", pch=19) lines(lrcorrelation$`log10(boxes)`,lrcorrelation$`log10(DFA(alpha = 0.5))`,type="p" ,col="brown", pch=19) lines(lrcorrelation$`log10(boxes)`,lrcorrelation$`log10(DFA(alpha = 0.4))`,type="p" ,col="yellow", pch=19) lines(lrcorrelation$`log10(boxes)`,lrcorrelation$`log10(DFA(alpha = 0.3))`,type="p" ,col="orange", pch=19) lines(lrcorrelation$`log10(boxes)`,lrcorrelation$`log10(DFA(alpha = 0.2))`,type="p" ,col="pink", pch=19) lines(lrcorrelation$`log10(boxes)`,lrcorrelation$`log10(DFA(alpha = 0.1))`,type="p" ,col="magenta", pch=19) #legend("bottom", legend=c(TeX("$\alpha_{DFA} = 0.9$"),TeX("$\alpha_{DFA} = 0.8$") # ,TeX("$\alpha_{DFA} = 0.7$"),TeX("$\alpha_{DFA} = 0.6$") # ,TeX("$\alpha_{DFA} = 0.5$"),TeX("$\alpha_{DFA} = 0.4$") # ,TeX("$\alpha_{DFA} = 0.3$"),TeX("$\alpha_{DFA} = 0.2$") # ,TeX("$\alpha_{DFA} = 0.1$")) # , col=c("black","blue","red","green","brown","yellow","orange","pink","magenta") # , pch=c(19,19,19,19,19,19,19,19,19) # , cex = 0.55 # , ncol = 5 #)

[Package *DFA* version 0.9.0 Index]