Based on timestamp column, last two rows are same as the 2 rows before that, only difference being timestamp. I would like to clean such similar row groups, based on timestamp, keeping only the earliest set of duplicate row groups. Simply using !duplicated excluding the timestamp gets rid of additional rows.
Also the rows might contain a lot of NA values, for the sample can be seen on last 4 rows, columns 7-8.
Also if possible, can we give as input the columns based on which duplicates be determined and group them by more than one column, e.g. group the data.frame by timestamp and strike columns.
Below is the data.frame.
dput(opbook)
Output
structure(list(strike = c(8000L, 8100L, 8000L, 8100L, 8000L,
8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L,
8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L,
8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L,
8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L,
8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L,
8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L,
8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L,
8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L,
8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L,
8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L,
8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L,
8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L,
8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L,
8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L,
8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L,
8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L,
8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L,
8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L,
8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L,
8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L,
8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L,
8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L,
8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L,
8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L,
8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L,
8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L,
8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L,
8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L,
8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L, 8000L, 8100L,
8000L, 8100L), OI.call = c(3445925L, 3633225L, 3445925L, 3633225L,
3445925L, 3633225L, 3445925L, 3633225L, 3432375L, 3573575L, 3432375L,
3573575L, 3432375L, 3573575L, 3432375L, 3573575L, 3432375L, 3573575L,
3432375L, 3573575L, 3432375L, 3573575L, 3432375L, 3573575L, 3432375L,
3573575L, 3432375L, 3573575L, 3432375L, 3573575L, 3432375L, 3573575L,
3432375L, 3573575L, 3432375L, 3573575L, 3432375L, 3573575L, 3432375L,
3573575L, 3432375L, 3573575L, 3432375L, 3573575L, 3432375L, 3573575L,
3432375L, 3573575L, 3432375L, 3573575L, 3432375L, 3573575L, 3432375L,
3573575L, 3432375L, 3573575L, 3432375L, 3573575L, 3432375L, 3573575L,
3432375L, 3573575L, 3432375L, 3573575L, 3432375L, 3573575L, 3432375L,
3573575L, 3432375L, 3573575L, 3432375L, 3573575L, 3432375L, 3573575L,
3432375L, 3573575L, 3432375L, 3573575L, 3432375L, 3573575L, 3432375L,
3573575L, 3432375L, 3573575L, 3432375L, 3573575L, 3432375L, 3573575L,
3432375L, 3573575L, 3432375L, 3573575L, 3432375L, 3573575L, 3432375L,
3573575L, 3432375L, 3573575L, 3432375L, 3573575L, 3432375L, 3573575L,
3432375L, 3573575L, 3432375L, 3573575L, 3432375L, 3573575L, 3432375L,
3573575L, 3432375L, 3573575L, 3432375L, 3573575L, 3432375L, 3573575L,
3432375L, 3573575L, 3432375L, 3573575L, 3432375L, 3573575L, 3432375L,
3573575L, 3432375L, 3573575L, 3432375L, 3573575L, 3432375L, 3573575L,
3432375L, 3573575L, 3432375L, 3573575L, 3432375L, 3573575L, 3432375L,
3573575L, 3432375L, 3573575L, 3432375L, 3573575L, 3432375L, 3573575L,
3432375L, 3573575L, 3432375L, 3573575L, 3432375L, 3573575L, 3432375L,
3573575L, 3432375L, 3573575L, 3432375L, 3573575L, 3432375L, 3573575L,
3432375L, 3573575L, 3432375L, 3573575L, 3432375L, 3573575L, 3432375L,
3573575L, 3432375L, 3573575L, 3432375L, 3573575L, 3432375L, 3573575L,
3432375L, 3573575L, 3432375L, 3573575L, 3432375L, 3573575L, 3432375L,
3573575L, 3432375L, 3573575L, 3432375L, 3573575L, 3432375L, 3573575L,
3432375L, 3573575L, 3432375L, 3573575L, 3432375L, 3573575L, 3432375L,
3573575L, 3432375L, 3573575L, 3432375L, 3573575L, 3432375L, 3573575L,
3432375L, 3573575L, 3432375L, 3573575L, 3432375L, 3573575L, 3432375L,
3573575L, 3432375L, 3573575L, 3432375L, 3573575L, 3432375L, 3573575L,
3432375L, 3573575L, 3432375L, 3573575L, 3432375L, 3573575L, 3432375L,
3573575L, 3432375L, 3573575L, 3432375L, 3573575L, 3432375L, 3573575L,
3432375L, 3573575L, 3432375L, 3573575L, 3432375L, 3573575L, 3432375L,
3573575L, 3432375L, 3573575L, 3432375L, 3573575L, 3432375L, 3573575L,
3432375L, 3573575L, 3432375L, 3573575L, 3432375L, 3573575L, 3432375L,
3573575L, 3432375L, 3573575L, 3432375L, 3573575L, 3432375L, 3573575L,
3432375L, 3573575L, 3432375L, 3573575L, 3432375L, 3573575L, 3432375L,
3573575L, 3124300L, 3529925L, 3124300L, 3529925L), changeOI.call = c(-65325L,
-159500L, -65325L, -159500L, -65325L, -159500L, -65325L, -159500L,
-78875L, -219150L, -78875L, -219150L, -78875L, -219150L, -78875L,
-219150L, -78875L, -219150L, -78875L, -219150L, -78875L, -219150L,
-78875L, -219150L, -78875L, -219150L, -78875L, -219150L, -78875L,
-219150L, -78875L, -219150L, -78875L, -219150L, -78875L, -219150L,
-78875L, -219150L, -78875L, -219150L, -78875L, -219150L, -78875L,
-219150L, -78875L, -219150L, -78875L, -219150L, -78875L, -219150L,
-78875L, -219150L, -78875L, -219150L, -78875L, -219150L, -78875L,
-219150L, -78875L, -219150L, -78875L, -219150L, -78875L, -219150L,
-78875L, -219150L, -78875L, -219150L, -78875L, -219150L, -78875L,
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-219150L, -78875L, -219150L, -78875L, -219150L, -78875L, -219150L,
-78875L, -219150L, -78875L, -219150L, -78875L, -219150L, -78875L,
-219150L, -78875L, -219150L, -78875L, -219150L, -78875L, -219150L,
-78875L, -219150L, -78875L, -219150L, -78875L, -219150L, -78875L,
-219150L, -78875L, -219150L, -78875L, -219150L, -78875L, -219150L,
-78875L, -219150L, -78875L, -219150L, -78875L, -219150L, -78875L,
-219150L, -78875L, -219150L, -78875L, -219150L, -78875L, -219150L,
-78875L, -219150L, -78875L, -219150L, -78875L, -219150L, -78875L,
-219150L, -78875L, -219150L, -78875L, -219150L, -78875L, -219150L,
-78875L, -219150L, -78875L, -219150L, -78875L, -219150L, -78875L,
-219150L, -78875L, -219150L, -78875L, -219150L, -78875L, -219150L,
-78875L, -219150L, -78875L, -219150L, -78875L, -219150L, -78875L,
-219150L, -78875L, -219150L, -78875L, -219150L, -78875L, -219150L,
-78875L, -219150L, -78875L, -219150L, -78875L, -219150L, -78875L,
-219150L, -78875L, -219150L, -78875L, -219150L, -78875L, -219150L,
-78875L, -219150L, -78875L, -219150L, -78875L, -219150L, -78875L,
-219150L, -78875L, -219150L, -78875L, -219150L, -78875L, -219150L,
-78875L, -219150L, -78875L, -219150L, -78875L, -219150L, -78875L,
-219150L, -78875L, -219150L, -78875L, -219150L, -78875L, -219150L,
-78875L, -219150L, -78875L, -219150L, -78875L, -219150L, -78875L,
-219150L, -78875L, -219150L, -78875L, -219150L, -78875L, -219150L,
-78875L, -219150L, -78875L, -219150L, -78875L, -219150L, -78875L,
-219150L, -78875L, -219150L, -78875L, -219150L, -78875L, -219150L,
-78875L, -219150L, -78875L, -219150L, -78875L, -219150L, -78875L,
-219150L, -78875L, -219150L, -78875L, -219150L, -78875L, -219150L,
-78875L, -219150L, -78875L, -219150L, -386950L, -262800L, -386950L,
-262800L), volume.call = c(758973L, 857367L, 758973L, 857367L,
758973L, 857367L, 758973L, 857367L, 766572L, 866243L, 766572L,
866243L, 766572L, 866243L, 766572L, 866243L, 766572L, 866243L,
766572L, 866243L, 766572L, 866243L, 766572L, 866243L, 766572L,
866243L, 766572L, 866243L, 766572L, 866243L, 766572L, 866243L,
766572L, 866243L, 766572L, 866243L, 766572L, 866243L, 766572L,
866243L, 766572L, 866243L, 766572L, 866243L, 766572L, 866243L,
766572L, 866243L, 766572L, 866243L, 766572L, 866243L, 766572L,
866243L, 766572L, 866243L, 766572L, 866243L, 766572L, 866243L,
766572L, 866243L, 766572L, 866243L, 766572L, 866243L, 766572L,
866243L, 766572L, 866243L, 766572L, 866243L, 766572L, 866243L,
766572L, 866243L, 766572L, 866243L, 766572L, 866243L, 766572L,
866243L, 766572L, 866243L, 766572L, 866243L, 766572L, 866243L,
766572L, 866243L, 766572L, 866243L, 766572L, 866243L, 766572L,
866243L, 766572L, 866243L, 766572L, 866243L, 766572L, 866243L,
766572L, 866243L, 766572L, 866243L, 766572L, 866243L, 766572L,
866243L, 766572L, 866243L, 766572L, 866243L, 766572L, 866243L,
766572L, 866243L, 766572L, 866243L, 766572L, 866243L, 766572L,
866243L, 766572L, 866243L, 766572L, 866243L, 766572L, 866243L,
766572L, 866243L, 766572L, 866243L, 766572L, 866243L, 766572L,
866243L, 766572L, 866243L, 766572L, 866243L, 766572L, 866243L,
766572L, 866243L, 766572L, 866243L, 766572L, 866243L, 766572L,
866243L, 766572L, 866243L, 766572L, 866243L, 766572L, 866243L,
766572L, 866243L, 766572L, 866243L, 766572L, 866243L, 766572L,
866243L, 766572L, 866243L, 766572L, 866243L, 766572L, 866243L,
766572L, 866243L, 766572L, 866243L, 766572L, 866243L, 766572L,
866243L, 766572L, 866243L, 766572L, 866243L, 766572L, 866243L,
766572L, 866243L, 766572L, 866243L, 766572L, 866243L, 766572L,
866243L, 766572L, 866243L, 766572L, 866243L, 766572L, 866243L,
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866243L, 766572L, 866243L, 766572L, 866243L, 766572L, 866243L,
766572L, 866243L, 766572L, 866243L, 766572L, 866243L, 766572L,
866243L, 766572L, 866243L, 766572L, 866243L, 766572L, 866243L,
766572L, 866243L, 766572L, 866243L, 766572L, 866243L, 766572L,
866243L, 766572L, 866243L, 766572L, 866243L, 766572L, 866243L,
766572L, 866243L, 766572L, 866243L, 766572L, 866243L, 766572L,
866243L, 766572L, 866243L, 766572L, 866243L, 766572L, 866243L,
766572L, 866243L, 766572L, 866243L, 766572L, 866243L, 766572L,
866243L, 766572L, 866243L, 766572L, 866243L), IV.call = c(13.74,
14.49, 13.74, 14.49, 13.74, 14.49, 13.74, 14.49, 14.11, 14.66,
14.11, 14.66, 14.11, 14.66, 14.11, 14.66, 14.11, 14.66, 14.11,
14.66, 14.11, 14.66, 14.11, 14.66, 14.11, 14.66, 14.11, 14.66,
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14.66, 14.11, 14.66, 14.11, 14.66, 14.11, 14.66, 14.11, 14.66,
14.11, 14.66, 13.38, 14.2, 13.38, 14.2), LTP.call = c(90.95,
48.25, 90.95, 48.25, 90.95, 48.25, 90.95, 48.25, 90, 47.75, 90,
47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75,
90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75,
90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75,
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90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75,
90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75,
90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75,
90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75,
90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75,
90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75,
90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75,
90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75,
90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75,
90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75,
90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75,
90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75,
90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75,
90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75,
90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75,
90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75,
90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75,
90, 47.75, 90, 47.75, 90, 47.75), bidQ.call = c(675L, 75L, 675L,
75L, 675L, 75L, 675L, 75L, 25L, 50L, 25L, 50L, 25L, 50L, 25L,
50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L,
25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L,
50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L,
25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L,
50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L,
25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L,
50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L,
25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L,
50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L,
25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L,
50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L,
25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L,
50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L,
25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L,
50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L,
25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L,
50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L,
25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L,
50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L, 25L, 50L,
25L, 50L, NA, NA, NA, NA), bidP.call = c(90.6, 48.15, 90.6, 48.15,
90.6, 48.15, 90.6, 48.15, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5,
89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7,
47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5,
89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7,
47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5,
89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7,
47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5,
89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7,
47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5,
89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7,
47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5,
89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7,
47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5,
89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7,
47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5,
89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7,
47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5,
89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7,
47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5,
89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7,
47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5,
89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7,
47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5,
89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7, 47.5, 89.7,
47.5), askP.call = c(90.95, 48.3, 90.95, 48.3, 90.95, 48.3, 90.95,
48.3, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75,
90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75,
90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75,
90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75,
90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75,
90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75,
90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75,
90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75,
90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75,
90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75,
90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75,
90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75,
90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75,
90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75,
90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75,
90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75,
90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75,
90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75,
90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75,
90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75,
90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75,
90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75, 90, 47.75), askQ.call = c(500L,
150L, 500L, 150L, 500L, 150L, 500L, 150L, 7075L, 25L, 7075L,
25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L,
7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L,
25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L,
7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L,
25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L,
7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L,
25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L,
7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L,
25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L,
7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L,
25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L,
7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L,
25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L,
7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L,
25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L,
7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L,
25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L,
7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L,
25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L,
7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L,
25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L,
7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L,
25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L, 7075L, 25L,
7075L, 25L, 7075L, 25L), TIMESTAMP = c("2015-06-15 15:29", "2015-06-15 15:29",
"2015-06-15 15:29", "2015-06-15 15:29", "2015-06-15 15:30", "2015-06-15 15:30",
"2015-06-15 15:30", "2015-06-15 15:30", "2015-06-15 15:31", "2015-06-15 15:31",
"2015-06-15 15:31", "2015-06-15 15:31", "2015-06-15 15:32", "2015-06-15 15:32",
"2015-06-15 15:32", "2015-06-15 15:32", "2015-06-15 15:33", "2015-06-15 15:33",
"2015-06-15 15:33", "2015-06-15 15:33", "2015-06-15 15:34", "2015-06-15 15:34",
"2015-06-15 15:34", "2015-06-15 15:34", "2015-06-15 15:35", "2015-06-15 15:35",
"2015-06-15 15:35", "2015-06-15 15:35", "2015-06-15 15:36", "2015-06-15 15:36",
"2015-06-15 15:36", "2015-06-15 15:36", "2015-06-15 15:37", "2015-06-15 15:37",
"2015-06-15 15:37", "2015-06-15 15:37", "2015-06-15 15:38", "2015-06-15 15:38",
"2015-06-15 15:38", "2015-06-15 15:38", "2015-06-15 15:39", "2015-06-15 15:39",
"2015-06-15 15:39", "2015-06-15 15:39", "2015-06-15 15:40", "2015-06-15 15:40",
"2015-06-15 15:40", "2015-06-15 15:40", "2015-06-15 15:41", "2015-06-15 15:41",
"2015-06-15 15:41", "2015-06-15 15:41", "2015-06-15 15:42", "2015-06-15 15:42",
"2015-06-15 15:42", "2015-06-15 15:42", "2015-06-15 15:43", "2015-06-15 15:43",
"2015-06-15 15:43", "2015-06-15 15:43", "2015-06-15 15:44", "2015-06-15 15:44",
"2015-06-15 15:44", "2015-06-15 15:44", "2015-06-15 15:45", "2015-06-15 15:45",
"2015-06-15 15:45", "2015-06-15 15:45", "2015-06-15 15:46", "2015-06-15 15:46",
"2015-06-15 15:46", "2015-06-15 15:46", "2015-06-15 15:47", "2015-06-15 15:47",
"2015-06-15 15:47", "2015-06-15 15:47", "2015-06-15 15:48", "2015-06-15 15:48",
"2015-06-15 15:48", "2015-06-15 15:48", "2015-06-15 15:49", "2015-06-15 15:49",
"2015-06-15 15:49", "2015-06-15 15:49", "2015-06-15 15:50", "2015-06-15 15:50",
"2015-06-15 15:50", "2015-06-15 15:50", "2015-06-15 15:51", "2015-06-15 15:51",
"2015-06-15 15:51", "2015-06-15 15:51", "2015-06-15 15:52", "2015-06-15 15:52",
"2015-06-15 15:52", "2015-06-15 15:52", "2015-06-15 15:53", "2015-06-15 15:53",
"2015-06-15 15:53", "2015-06-15 15:53", "2015-06-15 15:54", "2015-06-15 15:54",
"2015-06-15 15:54", "2015-06-15 15:54", "2015-06-15 15:55", "2015-06-15 15:55",
"2015-06-15 15:55", "2015-06-15 15:55", "2015-06-15 15:56", "2015-06-15 15:56",
"2015-06-15 15:56", "2015-06-15 15:56", "2015-06-15 15:57", "2015-06-15 15:57",
"2015-06-15 15:57", "2015-06-15 15:57", "2015-06-15 15:58", "2015-06-15 15:58",
"2015-06-15 15:58", "2015-06-15 15:58", "2015-06-15 15:59", "2015-06-15 15:59",
"2015-06-15 15:59", "2015-06-15 15:59", "2015-06-15 16:00", "2015-06-15 16:00",
"2015-06-15 16:00", "2015-06-15 16:00", "2015-06-15 16:01", "2015-06-15 16:01",
"2015-06-15 16:01", "2015-06-15 16:01", "2015-06-15 16:02", "2015-06-15 16:02",
"2015-06-15 16:02", "2015-06-15 16:02", "2015-06-15 16:03", "2015-06-15 16:03",
"2015-06-15 16:03", "2015-06-15 16:03", "2015-06-15 16:04", "2015-06-15 16:04",
"2015-06-15 16:04", "2015-06-15 16:04", "2015-06-15 16:05", "2015-06-15 16:05",
"2015-06-15 16:05", "2015-06-15 16:05", "2015-06-15 16:06", "2015-06-15 16:06",
"2015-06-15 16:06", "2015-06-15 16:06", "2015-06-15 16:07", "2015-06-15 16:07",
"2015-06-15 16:07", "2015-06-15 16:07", "2015-06-15 16:08", "2015-06-15 16:08",
"2015-06-15 16:08", "2015-06-15 16:08", "2015-06-15 16:09", "2015-06-15 16:09",
"2015-06-15 16:09", "2015-06-15 16:09", "2015-06-15 16:10", "2015-06-15 16:10",
"2015-06-15 16:10", "2015-06-15 16:10", "2015-06-15 16:11", "2015-06-15 16:11",
"2015-06-15 16:11", "2015-06-15 16:11", "2015-06-15 16:12", "2015-06-15 16:12",
"2015-06-15 16:12", "2015-06-15 16:12", "2015-06-15 16:13", "2015-06-15 16:13",
"2015-06-15 16:13", "2015-06-15 16:13", "2015-06-15 16:14", "2015-06-15 16:14",
"2015-06-15 16:14", "2015-06-15 16:14", "2015-06-15 16:15", "2015-06-15 16:15",
"2015-06-15 16:15", "2015-06-15 16:15", "2015-06-15 16:16", "2015-06-15 16:16",
"2015-06-15 16:16", "2015-06-15 16:16", "2015-06-15 16:17", "2015-06-15 16:17",
"2015-06-15 16:17", "2015-06-15 16:17", "2015-06-15 16:18", "2015-06-15 16:18",
"2015-06-15 16:18", "2015-06-15 16:18", "2015-06-15 16:19", "2015-06-15 16:19",
"2015-06-15 16:19", "2015-06-15 16:19", "2015-06-15 16:20", "2015-06-15 16:20",
"2015-06-15 16:20", "2015-06-15 16:20", "2015-06-15 16:21", "2015-06-15 16:21",
"2015-06-15 16:21", "2015-06-15 16:21", "2015-06-15 16:22", "2015-06-15 16:22",
"2015-06-15 16:22", "2015-06-15 16:22", "2015-06-15 16:23", "2015-06-15 16:23",
"2015-06-15 16:23", "2015-06-15 16:23", "2015-06-15 16:24", "2015-06-15 16:24",
"2015-06-15 16:24", "2015-06-15 16:24", "2015-06-15 16:25", "2015-06-15 16:25",
"2015-06-15 16:25", "2015-06-15 16:25", "2015-06-15 16:26", "2015-06-15 16:26",
"2015-06-15 16:26", "2015-06-15 16:26", "2015-06-15 16:27", "2015-06-15 16:27",
"2015-06-15 16:27", "2015-06-15 16:27", "2015-06-15 16:28", "2015-06-15 16:28",
"2015-06-15 16:28", "2015-06-15 16:28", "2015-06-15 16:29", "2015-06-15 16:29",
"2015-06-15 16:29", "2015-06-15 16:29", "2015-06-15 16:30", "2015-06-15 16:30",
"2015-06-15 16:30", "2015-06-15 16:30", "2015-06-15 16:31", "2015-06-15 16:31",
"2015-06-15 16:31", "2015-06-15 16:31", "2015-06-15 16:32", "2015-06-15 16:32",
"2015-06-15 16:32", "2015-06-15 16:32", "2015-06-15 16:33", "2015-06-15 16:33",
"2015-06-15 16:33", "2015-06-15 16:33", "2015-06-15 16:34", "2015-06-15 16:34",
"2015-06-15 16:34", "2015-06-15 16:34", "2015-06-15 16:35", "2015-06-15 16:35",
"2015-06-15 16:35", "2015-06-15 16:35")), .Names = c("strike",
"OI.call", "changeOI.call", "volume.call", "IV.call", "LTP.call",
"bidQ.call", "bidP.call", "askP.call", "askQ.call", "TIMESTAMP"
), class = "data.frame", row.names = c(NA, -268L))
Hope this is a MWE and the problem has been explained sufficiently.