Hi Michel,
You could try:
df1New<-droplevels(TEST[with(TEST,ave(seq_along(Matricule),Matricule,FUN=min)),])
row.names(df1New)<-1:nrow(df1New)
df2New<-droplevels(TEST[with(TEST,ave(seq_along(Matricule),Matricule,FUN=max)),])
row.names(df2New)<-1:nrow(df2New)
identical(df1New,df1)
#[1] TRUE
identical(df2New,df2)
#[1] TRUE
A.K.
----- Original Message -----
From: Arnaud Michel <michel.arn...@cirad.fr>
To: R help <r-help@r-project.org>
Cc:
Sent: Wednesday, July 24, 2013 2:39 AM
Subject: [R] Change values in a dateframe
Hello
I have the following problem :
The dataframe TEST has multiple lines for a same person because :
there are differents values of Nom or differents values of Prenom
but the values of Matricule or Sexe or Date.de.naissance are the same.
TEST <- structure(list(Matricule = c(66L, 67L, 67L, 68L, 89L, 90L, 90L,
91L, 108L, 108L, 108L), Nom = structure(c(1L, 2L, 2L, 4L, 8L,
5L, 6L, 9L, 3L, 3L, 7L), .Label = c("CHICHE", "GEOF", "GUTIER",
"JACQUE", "LANGUE", "LANGUE-LOPEZ", "RIVIER", "TRU", "VINCENT"
), class = "factor"), Prenom = structure(c(8L, 3L, 4L, 5L, 1L,
2L, 2L, 9L, 6L, 7L, 7L), .Label = c("Edgar", "Elodie", "Jeanine",
"Jeannine", "Michel", "Michele", "Michèle", "Michelle", "Victor"
), class = "factor"), Sexe = structure(c(1L, 1L, 1L, 2L, 2L,
1L, 1L, 2L, 1L, 1L, 1L), .Label = c("Féminin", "Masculin"), class =
"factor"),
Date.de.naissance = structure(c(4L, 2L, 2L, 7L, 6L, 5L, 5L,
1L, 3L, 3L, 3L), .Label = c("03/09/1940", "04/03/1946",
"07/12/1947",
"18/11/1945", "27/09/1947", "29/12/1936", "30/03/1935"), class =
"factor")), .Names = c("Matricule",
"Nom", "Prenom", "Sexe", "Date.de.naissance"), class = "data.frame",
row.names = c(NA,
-11L))
I would want to make homogeneous the information and would like built 2
dataframes :
df1 wich has the value of Nom and Prenom of the first lines of TEST when
there are different values. The other values (Matricule or Sexe or
Date.de.naissance) are unchanged
df1 <- structure(list(Matricule = c(66L, 67L, 67L, 68L, 89L, 90L, 90L,
91L, 108L, 108L, 108L), Nom = structure(c(1L, 2L, 2L, 4L, 6L,
5L, 5L, 7L, 3L, 3L, 3L), .Label = c("CHICHE", "GEOF", "GUTIER",
"JACQUE", "LANGUE", "TRU", "VINCENT"), class = "factor"), Prenom =
structure(c(6L,
3L, 3L, 4L, 1L, 2L, 2L, 7L, 5L, 5L, 5L), .Label = c("Edgar",
"Elodie", "Jeanine", "Michel", "Michele", "Michelle", "Victor"
), class = "factor"), Sexe = structure(c(1L, 1L, 1L, 2L, 2L,
1L, 1L, 2L, 1L, 1L, 1L), .Label = c("Féminin", "Masculin"), class =
"factor"),
Date.de.naissance = structure(c(4L, 2L, 2L, 7L, 6L, 5L, 5L,
1L, 3L, 3L, 3L), .Label = c("03/09/1940", "04/03/1946",
"07/12/1947",
"18/11/1945", "27/09/1947", "29/12/1936", "30/03/1935"), class =
"factor")), .Names = c("Matricule",
"Nom", "Prenom", "Sexe", "Date.de.naissance"), class = "data.frame",
row.names = c(NA,
-11L))
df2 wich has the value of Nom and Prenom of the last lines of TEST when
there are different values. The other values (Matricule or Sexe or
Date.de.naissance) are unchanged.
df2 <- structure(list(Matricule = c(66L, 67L, 67L, 68L, 89L, 90L, 90L,
91L, 108L, 108L, 108L), Nom = structure(c(1L, 2L, 2L, 3L, 6L,
4L, 4L, 7L, 5L, 5L, 5L), .Label = c("CHICHE", "GEOF", "JACQUE",
"LANGUE-LOPEZ", "RIVIER", "TRU", "VINCENT"), class = "factor"),
Prenom = structure(c(6L, 3L, 3L, 4L, 1L, 2L, 2L, 7L, 5L,
5L, 5L), .Label = c("Edgar", "Elodie", "Jeannine", "Michel",
"Michèle", "Michelle", "Victor"), class = "factor"), Sexe =
structure(c(1L,
1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L), .Label = c("Féminin",
"Masculin"), class = "factor"), Date.de.naissance =
structure(c(4L,
2L, 2L, 7L, 6L, 5L, 5L, 1L, 3L, 3L, 3L), .Label = c("03/09/1940",
"04/03/1946", "07/12/1947", "18/11/1945", "27/09/1947",
"29/12/1936",
"30/03/1935"), class = "factor")), .Names = c("Matricule",
"Nom", "Prenom", "Sexe", "Date.de.naissance"), class = "data.frame",
row.names = c(NA,
-11L))
Thank for your helps
Michel
