[R] to modify a dataframe

[arun]

Hi,
You could try:
 df3 <- df1
library(plyr) 
df3[,-1] <- ddply(df1,.(Nom1=gsub("\\d+","",Nom)),colwise(function(x) rep(max(x),length(x))))[,-1]
attr(df3,"row.names") <- attr(df2,"row.names")
 identical(df2,df3)
#[1] TRUE

A.K.




On Wednesday, January 1, 2014 11:56 AM, Arnaud Michel <michel.arnaud at cirad.fr> wrote:
Dear All,

From the dataframe df1

df1 <-
structure(list(Nom = structure(1:9, .Label = c("A1", "A2", "A3",
"B1", "B2", "C1", "C2", "C3", "C4"), class = "factor"), Pays1 = c(1,
1, 0, 0, 1, 0, 0, 0, 0), Pays2 = c(0, 0, 0, 1, 1, 0, 1, 0, 1),
     Pays3 = c(0, 0, 0, 0, 1, 0, 0, 0, 0), Pays4 = c(1, 0, 0,
     0, 0, 0, 1, 0, 1), Pays5 = c(1, 1, 0, 0, 0, 0, 0, 0, 0)), .Names = c("Nom",
"Pays1", "Pays2", "Pays3", "Pays4", "Pays5"), row.names = c(1L,
3L, 4L, 2L, 5L, 6L, 7L, 8L, 9L), class = "data.frame")


I look for a way to build the new dataframe df2
  
df2 <-
structure(list(Nom = structure(1:9, .Label = c("A1", "A2", "A3",
"B1", "B2", "C1", "C2", "C3", "C4"), class = "factor"), Pays1 = c(1,
1, 1, 1, 1, 0, 0, 0, 0), Pays2 = c(0, 0, 0, 1, 1, 1, 1, 1, 1),
     Pays3 = c(0, 0, 0, 1, 1, 0, 0, 0, 0), Pays4 = c(1, 1, 1,
     0, 0, 1, 1, 1, 1), Pays5 = c(1, 1, 1, 0, 0, 0, 0, 0, 0)), .Names = c("Nom",
"Pays1", "Pays2", "Pays3", "Pays4", "Pays5"), row.names = c(NA,
-9L), class = "data.frame")

The purpose is to transform df1 it df2 by giving for every group of lines A, B and C the value 1 if there is at least a value equal to 1 or a value 0 if there is no value equal to 1

Thanks for your helps

-- 
Michel ARNAUD
Chargé de mission auprès du DRH
DGDRD-Drh - TA 174/04
Av Agropolis 34398 Montpellier cedex 5
tel : 04.67.61.75.38
fax : 04.67.61.57.87
port: 06.47.43.55.31


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