Your subset problem has been solved already but i'd like to add a
comment on this:
I want all rows where TTE is equal to 0.024657534
Comparing floating point numbers for equality with '==' is problematic
so a simple df[df$TTE == 0.024657534, ] can easily fail. have a look
at help(==),
On Wed, 2 Sep 2009 17:12:18 +1200 Worik R wor...@gmail.com wrote:
WR I have a data frame, df that I want to extract some rows from
What you need is subset, see
?subset
Example:
df-data.frame(TTE=(0:10)/100,SOME=rnorm(11))
df
# subset with all columns
subset(df,TTE0.02)
# the same as:
Thanks. I have no idea how I did not try that. Sigh!
all good now!
Worik
On Wed, Sep 2, 2009 at 7:04 PM, Stefan Grosse singularit...@gmx.net wrote:
On Wed, 2 Sep 2009 17:12:18 +1200 Worik R wor...@gmail.com wrote:
WR I have a data frame, df that I want to extract some rows from
What you
Friends
I have a data frame, df that I want to extract some rows from
Here is a sample of the data
head(df)
TDate Expiry Underlie Strike CSettle PSettle Futures ExDate
TTE
1 20080102 200801 200803 0.840 0. 0 0.9207 20080104
0.005479452
2 20080102 200801 200803 0.850
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