I want to forecaste the call number everyday for a call-center. Now I
have removed the influence of the fluctuation with some method, so
only thing left is to analyze the trend of the call number every day.
I have thought of two ways: regression and HoltWinters smooth. But
when I use regression, I
Suppose I have written a R program and saved it in test.R . How can I
call the program in the command line?
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I want to use double-exponential smoothing to forecast time series
datas,but I couldn't find it in the document,does R support this
method?
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Suppose I have two var x and y,now I want to fits a natural cubic
spline in x to y,at the same time create new var containing the
smoothed values of y. How can I get it?
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In a data frame I have a column "date" and a column "time",now I want
to generate a new column which is the mean of the value of time group
by date. In stata the command is
egen scalls = mean(time),by(date)
but I don't know the command in R, can anybody help me?
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I am a new R user. Now I have some problem while I use R. I have set
up a data frame called "mydata". One of the colume of it was "skill".
Now I want to select the observations of the frame whose "skill" value
is 1,by what command can I get it?
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I want to add a colume to a data frame by some rules, in stata the
command is "gen" or "egen" ,but what is it in R?
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I am a new R-language user. I have set up a data frame "mydata",one of
the colume of which is "skill". Now I want to select the observations
whose "skill" value is equal to 1,by what command can I get it?
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