[R] Saving Splitted Series to Excel via XLConnect

[arun]

Hi,

I think saving it as .csv file will be much easier.  I am getting all the series in the wide format.

write.csv(dados2,"dados2.csv")
  

 X2005.date X2005.value X2005.code X3939.date X3939.value X3939.code X433.date X433.value X433.code 
7 2012-01-01 152136 2005 2012-01-01 33.47 3939 2012-01-01 0.56 433 
8 2012-02-01 153081 2005 2012-02-01 34.48 3939 2012-02-01 0.45 433 
9 2012-03-01 155872 2005 2012-03-01 35.24 3939 2012-03-01 0.21 433 
10 2012-04-01 158356 2005 2012-04-01 38.42 3939 2012-04-01 0.64 433 
11 2012-05-01 162157 2005 2012-05-01 35.33 3939 2012-05-01 0.36 433 
12 2012-06-01 166226 2005 2012-06-01 34.43 3939 2012-06-01 0.08 433 

A.K.



----- Original Message -----
From: Henrique Andrade <henrique.coelho at gmail.com>
To: R Discussion List <r-help at r-project.org>
Cc: 
Sent: Wednesday, August 8, 2012 4:10 PM
Subject: [R] Saving Splitted Series to Excel via XLConnect

Dear R Discussion List,

I would like to save my data as a xlsx file. But at first
I need to split it and then save each series into a Excel
column. Please take a look at the following code:

dados <- data.frame(matrix(c("2012-01-01","2012-02-01",
  "2012-03-01","2012-04-01","2012-05-01","2012-06-01",
  "2012-01-01","2012-02-01","2012-03-01","2012-04-01",
  "2012-05-01","2012-06-01","2012-01-01","2012-02-01",
  "2012-03-01","2012-04-01","2012-05-01","2012-06-01",
  0.56,0.45,0.21,0.64,0.36,0.08,152136,153081,155872,
  158356,162157,166226,33.47,34.48,35.24,38.42,35.33,
  34.43,433,433,433,433,433,433,2005,2005,2005,2005,
  2005,2005,3939,3939,3939,3939,3939,3939),nrow=18,
  ncol=3,byrow=FALSE,dimnames=list(c(1,2,3,4,5,6,7,8,9,
  10,11,12,13,14,15,16,17,18),c("date","value","code"))))

dados2 <- split(dados, dados$code)
dados2

library(XLConnect)

wb <- loadWorkbook("Teste.xlsx", create = TRUE)
createSheet(wb, name = "Teste1")
writeWorksheet(wb, dados2, sheet = "Teste1")
saveWorkbook(wb)

With this code I only get the "433" series. How could I
fix my code? How could I include the other series?

Many thanks in advance,
Henrique Andrade

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