time series - ets() error in R -

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i have time serie , when applying ets error dont know generated. timeserie not big or has no such big values.

do spot wrong?

> ts        jan   feb   mar   apr   may   jun   jul   aug   sep   oct   nov   dec 2005       22.84 21.58 21.93 25.25 28.69 30.63 34.47 28.72 36.49 34.77 40.65 2006 36.73 31.55 38.07 34.77 36.91 39.16 36.07 35.37 39.34 35.62 27.58 33.37 2007 37.11 33.32 34.09 34.64 21.05 41.60 36.52 37.63 42.66 38.17 39.26 39.95 2008 35.33 38.63 38.04 36.90 33.56 35.14 33.82 36.18 29.30 25.65 20.71 21.63 2009 17.12 19.02 22.48 24.42 16.94 19.75 24.56 22.55 16.68 17.86 20.83 18.41 2010 14.74 16.49 19.75 22.88 24.11 27.02 27.46 26.47 26.81 26.59 23.56 18.88  > fit = ets (ts) error in `-.default`(y, e$e) : non-numeric argument binary operator in addition: warning message: in ets(ts) :   large numbers may cause numerical problems. try scaling data first >

thanks.

update traceback:

traceback: 7: nextmethod(.generic) 6: ops.ts(y, e$e) 5: etsmodel(y, errortype[i], trendtype[j], seasontype[k], damped[l],         alpha, beta, gamma, phi, lower = lower, upper = upper, opt.crit = opt.crit,         nmse = nmse, bounds = bounds) 4: ets(ts) 3: eval(expr, envir, enclos) 2: eval(i, envir) 1: sys.source(file = "1.r", envir = .raenv)

it appears ts variable wrong format. 

mode(ts) // should "numerical" not "character"

after casting as.numeric worked.


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