[R] Computing growth rate
PIKAL Petr
petr.pikal at precheza.cz
Thu Dec 15 14:51:16 CET 2016
Hi
Maybe you does not need if or ifelse but just divide by years difference.
d2<-ddply(df1,"co_code1",transform, growth=c(NA,exp(diff(log(sales1))/diff(fyear1))- 1)*100)
Cheers
Petr
> -----Original Message-----
> From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Berend
> Hasselman
> Sent: Thursday, December 15, 2016 1:18 PM
> To: Brijesh Mishra <brijeshkmishra at gmail.com>
> Cc: r-help mailing list <r-help at r-project.org>
> Subject: Re: [R] Computing growth rate
>
>
> > On 15 Dec 2016, at 04:40, Brijesh Mishra <brijeshkmishra at gmail.com>
> wrote:
> >
> > Hi,
> >
> > I am trying to calculate growth rate (say, sales, though it is to be
> > computed for many variables) in a panel data set. Problem is that I
> > have missing data for many firms for many years. To put it simply, I
> > have created this short dataframe (original df id much bigger)
> >
> > df1<-data.frame(co_code1=rep(c(1100, 1200, 1300), each=7),
> > fyear1=rep(1990:1996, 3), sales1=rep(seq(1000,1600, by=100),3))
> >
> > # this gives me
> > co_code1 fyear1 sales1
> > 1 1100 1990 1000
> > 2 1100 1991 1100
> > 3 1100 1992 1200
> > 4 1100 1993 1300
> > 5 1100 1994 1400
> > 6 1100 1995 1500
> > 7 1100 1996 1600
> > 8 1200 1990 1000
> > 9 1200 1991 1100
> > 10 1200 1992 1200
> > 11 1200 1993 1300
> > 12 1200 1994 1400
> > 13 1200 1995 1500
> > 14 1200 1996 1600
> > 15 1300 1990 1000
> > 16 1300 1991 1100
> > 17 1300 1992 1200
> > 18 1300 1993 1300
> > 19 1300 1994 1400
> > 20 1300 1995 1500
> > 21 1300 1996 1600
> >
> > # I am now removing a couple of rows
> > df1<-df1[-c(5, 8), ]
> > # the result is
> > co_code1 fyear1 sales1
> > 1 1100 1990 1000
> > 2 1100 1991 1100
> > 3 1100 1992 1200
> > 4 1100 1993 1300
> > 6 1100 1995 1500
> > 7 1100 1996 1600
> > 9 1200 1991 1100
> > 10 1200 1992 1200
> > 11 1200 1993 1300
> > 12 1200 1994 1400
> > 13 1200 1995 1500
> > 14 1200 1996 1600
> > 15 1300 1990 1000
> > 16 1300 1991 1100
> > 17 1300 1992 1200
> > 18 1300 1993 1300
> > 19 1300 1994 1400
> > 20 1300 1995 1500
> > 21 1300 1996 1600
> > # so 1994 for co_code1 1100 and 1990 for co_code1 1200 have been
> > removed. If I try,
> > d<-ddply(df1,"co_code1",transform, growth=c(NA,exp(diff(log(sales1)))-
> 1)*100)
> >
> > # this apparently gives wrong results for the year 1995 (as shown
> > below) as growth rates are computed considering yearly increment.
> >
> > co_code1 fyear1 sales1 growth
> > 1 1100 1990 1000 NA
> > 2 1100 1991 1100 10.000000
> > 3 1100 1992 1200 9.090909
> > 4 1100 1993 1300 8.333333
> > 5 1100 1995 1500 15.384615
> > 6 1100 1996 1600 6.666667
> > 7 1200 1991 1100 NA
> > 8 1200 1992 1200 9.090909
> > 9 1200 1993 1300 8.333333
> > 10 1200 1994 1400 7.692308
> > 11 1200 1995 1500 7.142857
> > 12 1200 1996 1600 6.666667
> > 13 1300 1990 1000 NA
> > 14 1300 1991 1100 10.000000
> > 15 1300 1992 1200 9.090909
> > 16 1300 1993 1300 8.333333
> > 17 1300 1994 1400 7.692308
> > 18 1300 1995 1500 7.142857
> > 19 1300 1996 1600 6.666667
> > # I thought of using the formula only when the increment of fyear1 is
> > only 1 while in a co_code1, by using this formula
> >
> > d<-ddply(df1,
> > "co_code1",
> > transform,
> > if(diff(fyear1)==1){
> > growth=(exp(diff(log(df1$sales1)))-1)*100
> > } else{
> > growth=NA
> > })
> >
> > But, this doesn't work. I am getting the following error.
> >
> > In if (diff(fyear1) == 1) { :
> > the condition has length > 1 and only the first element will be used
> > (repeated a few times).
> >
> > # I have searched for a solution, but somehow couldn't get one. Hope
> > that some kind soul will guide me here.
> >
>
> In your case use ifelse() as explained by Rui.
> But it can be done more easily since the fyear1 and co_code1 are
> synchronized.
> Add a new column to df1 like this
>
> df1$growth <- c(NA,
> ifelse(diff(df1$fyear1)==1,
> (exp(diff(log(df1$sales1)))-1)*100,
> NA
> )
> )
>
> and display df1. From your request I cannot determine if this is what you
> want.
>
> regards,
>
> Berend Hasselman
>
> ______________________________________________
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