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Hi, I need some help using the R outliers package. I would like to perform a Q-test (Dixon test) on my data set. I used the dixon.test function, but I cannot understand what is the confidence level used to perform the test. I have n=101 (n= number of data). So, can I use directly dixon.test ? What about qdixon and qtable functions? thank you so much! -- View this message in context:

Hi all, please, someone can explain me how update my R version? thank you! giov -- View this message in context: http://www.nabble.com/R-update-tp19291451p19291451.html Sent from the R help mailing list archive at Nabble.com.

Hi all, I used the function jarque.test (in the moments package) on my data set and I obtained something like this: Jarque-Bera Normality Test data: x JB = 4.8381, p-value = 0.089 alternative hypothesis: greater or Jarque-Bera Normality Test data: x JB = 2.6018, p-value = 0.2723 alternative hypothesis: greater I cannot understand this. Please, someone can help me? thank you

Hi, I have little experience using wavelet and I would like to know if it is possible,using R wavelet package, to have a plot of frequency versus time. thank you giov -- View this message in context: http://www.nabble.com/help-on-wavelet-tp19395583p19395583.html Sent from the R help mailing list archive at Nabble.com.