[R] how to find best model of time series?

[sagarnikam123]

i have data in one file below like  & (i have such type of file =200,each
file have below type of data)
>t
-0.15264004
0.056076439
-0.07276116
-0.00917326
-0.02069089
-0.00416232
-0.07225855
-0.02654577
-0.06131410
-0.09380202
0.057414014
-0.05239976
0.014397612
0.016145161
-0.00670587
0.018696335
0.036943654
-0.02450233
0.031161705
0.006513503
-0.02892329
-0.00831519
-0.00877744
-0.00634399
-0.02612019
-0.02531800
-0.01435533
0.011148840
-0.01893775
0.029859128
0.029878797
-0.00125987
0.031404385
0.035127606
-0.00191775
0.059797202
-0.03268047
-0.06026960
-0.02216465
-0.08145612
-0.02772806
-0.03171683
-0.02842562
-0.11807898
-0.01457311
-0.12612482
0.409631265
-0.06375234

>plot.ts(t)

i am new to time series,i get plot,but don't know which pattern this is?
tell me how to determine type of time series(seasonal,trend,irregular,etc)
& from 200 such file/plot ,which model should i select as best model for
forecasting future events




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