For Sectors the results are correct, but for some (Country, Industry,
FISCALYEAR) combinations or (Country, FISCALYEAR) combinations the
result don't match the spreadsheet (Excel) computation, so verifying
from experts, whether I am using ddply correctly with the right
intention?
On Fri, Mar 1,
oops - it should be MKT, I have been playing with a number of data
sets simultaneously.
ddply (dataread , .(Sector, FISCALYEAR), summarise,WROE=wavg(ROE, MKT)))
On Fri, Mar 1, 2013 at 2:23 PM, John Kane wrote:
> Okay I got the data but you seem to have an undefined variable in wavg.
> You write
Hi John,
The sample size is huge involving 10,000 + firms. I have put a
representative sample using dput ( Name, ticker and country have been
changed so that firms cannot be identified due to proprietary data
set, also EPS is not required and removed from the dataset)
structure(list(NAME = struct
Hello R community,
I am computing weighted average statistic by using ddply function:
My data set is:
N1 T1 S1 I1 C1 FY-4 ROE11 EPS11 MKT11
N1 T1 S1 I1 C1 FY-3 ROE12 EPS12 MKT12
N1 T1 S1 I1 C1 FY-2 ROE13 EPS13 MKT13
N1 T1 S1 I1 C1 FY-1 ROE14 EPS14 MKT14
N1 T1 S1 I1 C1
-Original Message-
From: Punit Anand
Sent: Wednesday, November 21, 2007 11:21 AM
To: 'r-help@r-project.org'
Subject: Help Required in using cast (reshape package) function
Hello everyone,
I am new to R. I have data in the form of excel pivot table format and I
want to cast it into a fo
D + Period ~ variable)
When I do that the data is casted as a pivot with a warning "Aggregation
requires fun.aggregate: length used as default", and the casted data
gives me the count of variables (as suggested by the warning )
Id Region Country Industry
Period "a
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