Converting multivariate dataframe to univariate time series using R -


these head of data set using.

 hour count   <chr> <int> 1    00 22462 2    01 13293 3    02 10595 4    03  9371 5    04 14325 6    05 38598

to perform forecasting using auto arima should convert data univariate. 

make.univ(rsms,sms.hour,tname="time1", outname="multdv")

i used above code convert univariate, gives error.

error in data.frame(timedat = rep(0:(nrepobs - 1), nrow(x)), outdat = as.vector(t(dvs))) : arguments imply differing number of rows: 4123938, 48

original dataset: 

rsms [2million records(1 day data)] sample dataset : sms.hour[24 records (class(sms.hour) = "tbl_df"     "tbl"        "data.frame"]

can me solve this?

your data univariate. i'm not sure, think lines below make data output of make.univ() call:

rsms$hour <- as.numeric(rsms$hour) names(rsms) <- c("time", "multdv")

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