search for: datadickey

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2013 Jun 23
1
Scaling Statistical
...its a trend and 1 has a pulse at 3/09. What I want, in pseudo-code: flag<- list() for (i in 1:length(obsv)) { if adf.test(i) FAIL { append(flag, i) }} What I have so far: >library(tseries) >adf.test(df[which(df$ID==1), 3]) Augmented Dickey-Fuller Test data: dataDickey-Fuller = 11.1451, Lag order = 16, p-value = 0.01null hypothesis: non-stationary >adf.test(df[which(df$ID==2), 3]) Augmented Dickey-Fuller Test data: dataDickey-Fuller = 11.1451, Lag order = 16, p-value = 0.99 alternative hypothesis: stationary >adf.test(df[which(df$ID==3), 3])Augmented Dic...