On Jan 23, 2013, at 5:45 AM, Simonas Kecorius wrote:
I found a code:
y.ts - ts(data, frequency=12)
aggregate(y.ts, FUN=quantile, probs=0.10)
Seems it works fine even for a big data.frame.
Except for the fact that 'y.ts' is not a dataframe, so you are using a
function that has different
What a shame..
Don't know the details about ts, but I tried the code with data.frame, then
checked the result with OpenOffice offered percentiles for the same data.
It was identical, so now I am a bit confused...
2013/1/25 David Winsemius dwinsem...@comcast.net
On Jan 23, 2013, at 5:45 AM,
I found a code:
y.ts - ts(data, frequency=12)
aggregate(y.ts, FUN=quantile, probs=0.10)
Seems it works fine even for a big data.frame.
Thanks for your help.
2013/1/22 David Winsemius dwinsem...@comcast.net
On Jan 22, 2013, at 5:58 AM, Simonas Kecorius wrote:
Hey Duncan,
Neither me do
Hey Duncan,
Neither me do imagine what formula OpenOffice uses for quantiles. I have
checked a data string, 24 values, to calculate a quantiles with OpenOffice
and R. The result is identical. The problem arises when I try to implement
quantile calculation in this form:
On Jan 22, 2013, at 5:58 AM, Simonas Kecorius wrote:
Hey Duncan,
Neither me do imagine what formula OpenOffice uses for quantiles. I
have
checked a data string, 24 values, to calculate a quantiles with
OpenOffice
and R. The result is identical. The problem arises when I try to
implement
Dear R users,
I came up to a problem dealing with percentiles in R.
From my previous questions: I do have a big data.frame, with lots of
columns and rows. The following command enables me to calculate means for
all data frame.
dat1$newID-rep(1:(nrow(dat1)/12),each=12) #if nrow(dat1)/12 is
On 13-01-21 6:41 PM, Simonas Kecorius wrote:
Dear R users,
I came up to a problem dealing with percentiles in R.
From my previous questions: I do have a big data.frame, with lots of
columns and rows. The following command enables me to calculate means for
all data frame.
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