a
> -Original Message-
> From: anandpu...@gmail.com
> Sent: Fri, 1 Mar 2013 15:05:19 -0500
> To: jrkrid...@inbox.com
> Subject: Re: [R] Conditional Weighted Average (ddply or any other
> function)
>
> For Sectors the results are correct, but for some (Country, Industr
---Original Message-
>> From: anandpu...@gmail.com
>> Sent: Fri, 1 Mar 2013 14:13:37 -0500
>> To: r-help@r-project.org
>> Subject: Re: [R] Conditional Weighted Average (ddply or any other
>> function)
>>
>> Hi John,
>>
>> The sample size is huge involv
0
> To: r-help@r-project.org
> Subject: Re: [R] Conditional Weighted Average (ddply or any other
> function)
>
> 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
See my last post which crossed yours.
John Kane
Kingston ON Canada
> -Original Message-
> From: anandpu...@gmail.com
> Sent: Fri, 1 Mar 2013 14:33:17 -0500
> To: jrkrid...@inbox.com
> Subject: Re: [R] Conditional Weighted Average (ddply or any other
> function)
>
t;
> Have you left out a equation that calculates MKTCAP?
>
> John Kane
> Kingston ON Canada
>
>
>> -Original Message-
>> From: anandpu...@gmail.com
>> Sent: Fri, 1 Mar 2013 13:53:44 -0500
>> To: jrkrid...@inbox.com
>> Subject: Re: [R] Con
> -Original Message-
> From: anandpu...@gmail.com
> Sent: Fri, 1 Mar 2013 14:13:37 -0500
> To: r-help@r-project.org
> Subject: Re: [R] Conditional Weighted Average (ddply or any other
> function)
>
> Hi John,
>
> The sample size is huge involvin
000, 557093400, 224900300, 163470, 144320,
> 3582664735, 3582664735, 5830366211, 10660833984, 9024061523,
> 7628660645, 9154108398, 9154108398, 7064532227, 1804380005,
> 6331067871, 10445639648, 9153587891, 9153587891, 6231200000,
> 4.078e+09, 1010750, 1246
8700, 260993500, 882575400, 1.151e+09, 855938413, 855938413
)), .Names = c("NAME", "Ticker", "Industry", "Sector", "Country",
"FISCALYEAR", "ROE", "MKT"), class = "data.frame", row.names = c(NA,
-
23",
"ROE24", "ROE25", "ROE26", "ROE27"), EPS = c("EPS11", "EPS12",
"EPS13", "EPS14", "EPS15", "EPS16", "EPS17", "EPS21", "EPS22",
"EPS2
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
10 matches
Mail list logo
