Try this:

d_tmp2 <- data.frame(apply(round(100*d_tmp[, -1], 2), 2, paste, "%", 
sep=""))
names(d_tmp2) <- paste(names(d_tmp[, -1]), "Lbl", sep="-")
d_final <- cbind(d_tmp, d_tmp2)
d_final[, 1+c(0, order(names(d_final[, -1])))]

Jean


santosh wrote on 01/13/2012 04:55:51 AM:

> Hello All,
> 
> I have the following dataset:
> 
>     Year   2006   2007
> Jan  Jan 0.0204 0.0065
> Feb  Feb 0.0145 0.0082
> Mar  Mar 0.0027 0.0122
> 
> 
> > dput(d_tmp)
> structure(list(Year = c("Jan", "Feb", "Mar"), `2006` = c(0.0204,
> 0.0145, 0.0027), `2007` = c(0.0065, 0.0082, 0.0122)), .Names =
> c("Year",
> "2006", "2007"), row.names = c("Jan", "Feb", "Mar"), class =
> "data.frame")
> 
> 
> I am trying to use the apply function but the values seem to be
> getting coerced to characters. I could recast in my function ... but I
> suspect there should be an easier way.
> 
> I can always use a for loop to get the output I need but just
> wondering if there a way to get the same using apply or some other
> function ... (the number of years can be changing in my requirement)
> 
> My final output needs to be as follows:
> 
> Year   2006   2006-Lbl   2007   2007-Lbl
> Jan   0.0204   '2.04%'   0.0065   '0.65%'
> Feb   0.0145   '1.45%'   0.0082   '0.82%'
> Mar   0.0027   '0.27%'   0.0122   '1.22%'
> 
> i.e.
> > dput(d_final)
> structure(list(Year = structure(c(2L, 1L, 3L), .Label = c("Feb",
> "Jan", "Mar"), class = "factor"), X2006 = c(0.0204, 0.0145, 0.0027
> ), X2006.Lbl = structure(c(3L, 2L, 1L), .Label = c("'0.27%'",
> "'1.45%'", "'2.04%'"), class = "factor"), X2007 = c(0.0065, 0.0082,
> 0.0122), X2007.Lbl = structure(1:3, .Label = c("'0.65%'", "'0.82%'",
> "'1.22%'"), class = "factor")), .Names = c("Year", "X2006",
> "X2006.Lbl",
> "X2007", "X2007.Lbl"), row.names = c(NA, -3L), class = "data.frame")
> 
> Please advise.
> 
> Santosh

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