hi everyone!
i want to check the autocorrelation function for a univariate time series
(streamflow) in a data frame as below:
< DF <- read.table("D:/file path....")
< DF
year jan feb mar apr ...... dec
1966 0.504 0.406 0.740 0.241 0.429
1967 0.683 0.529 0.780 0.443 0.503
.
.
.
.
what i first tried is:
acf (DF, plot = TRUE)
the resulting plot is correlation between each month ( jan, jan and feb, feb
and march....).
what i need is a correlation that would help me find out which lag would be
the most significant. i know i am missing out something simple here. please
bear with me.
should i transform my data frame into a vector of series:
< DF
01/1966 0.504
02/1966 0.406
03/1966 0.740
....
....
before i do the command
acf(DF, plot = TRUE)???
thanks in advance!
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