It works perfectly !!!
Thank you so much !!

Angelo

-----Messaggio originale-----
Da: Patrick Hausmann [mailto:patrick.hausm...@uni-bremen.de] 
Inviato: giovedì 6 maggio 2010 12.05
A: LINARDI ANGELO
Cc: r-help@r-project.org
Oggetto: Re: [R] Data frame "pivoting"

Hi Angelo,

try

x <- structure(list(ID = c("A1", "A1", "A1", "A1", "A1", "A2", "A2",
"A3", "A3", "A3", "A3", "A3"), YEAR = c(2007, 2007, 2007, 2008,
2008, 2007, 2008, 2007, 2007, 2008, 2008, 2008), PROPERTY = c("P1",
"P2", "P3", "P1", "P2", "P5", "P6", "P1", "P3", "P1", "P2", "P6"
), VALUE = c(1, 2, 3, 10, 20, 50, 20, 1, 30, 10, 4, 25)), .Names = c("ID",
"YEAR", "PROPERTY", "VALUE"), row.names = c(NA, 12L), class = "data.frame")

# package reshape
library(reshape)
xm <- melt(x, id.var=c("ID", "YEAR", "PROPERTY"))

# with cast (reshape)
cast(xm, ID ~ YEAR ~ PROPERTY)

ftable(cast(xm, ID ~ YEAR ~ PROPERTY))

# with xtabs - 0 != NA
xtabs(value ~ ID + YEAR + PROPERTY, data = xm)

ftable( xtabs(value ~ ID + YEAR + PROPERTY, data = xm) )

ftable(addmargins(xtabs(value ~ ID + YEAR + PROPERTY, data = xm)))

HTH
Patrick

Am 06.05.2010 09:06, schrieb angelo.lina...@bancaditalia.it:
>
> Dear R experts,
>
> I am trying to solve this problem, related to the possibility of
> changing the shape of a data frame using a "pivoting-like" function.
> I have a dataframe df of observations as follows:
>
> ID            VALIDITY YEAR           PROPERTY        PROPERTY VALUE
> A1            2007                            P1              V1
> A1            2007                            P2              V2
> A1            2007                            P3              V3
> A1            2008                            P1              V10
> A1            2008                            P2              V20
> A2            2007                            P5              V50
> A2            2008                            P6              V20
> A3            2007                            P1              V1
> A3            2007                            P3              V30
> A3            2008                            P1              V10
> A3            2008                            P2              V4
> A3            2008                            P6              V25
>
> (you can imagine that this data is collected every year from a sample of
> people with several "measures" - weight, number of children, income...
> It can happen that some properties could be missing from some IDs).
> I have to obtain a data frame like this:
>
>
> ID    VALIDITY YEAR   P1      P2      P3      P4      P5      P6
> A1    2007                    V1      V2      V3      -       -
> -
> A1    200                     V10     V20     -       -       -
> -
> A2    2007                    -       -       -       -       V50
> -
> A2    2008                    -       -       -       -       -
> V60
> A3    2007                    V1      -       V30     -       -
> -
> A3    2008                    V10     V4      -       -       -
> V25
>
>
> I started using the operator "by" obtaining the different "slices" of
> data:
>
> by(df,df$PROPERTY,list)
>
> but then ?
>
> I also tried using tapply:
>
> tapply(df$CID,df$PROPERTY,list)
>
> obtaining a list but I am not able to go on.
>
> Can you help me ?
>
> Thank you in advance
>
> Angelo Linardi
>
>
>
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** Le e-mail provenienti dalla Banca d'Italia sono trasmesse in buona fede e 
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Questa e-mail e' confidenziale. Qualora l'avesse ricevuta per errore, La 
preghiamo di 
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La 
informiamo inoltre che l'utilizzo non autorizzato del messaggio o dei suoi 
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