can this be simplified with purrr:map or mapply?
If you want to use purrr, you could do
fil <- paste0("data",2004:2014,".txt")
map_df(fil, read.table, .id = "fil")
to get everything in one data frame (I assume all files have the same
structure)
HTH
Ulrik
On Wed, 18 Jan 2017 at 16:10 PIKAL Petr <petr.pikal at precheza.cz> wrote:
Hi
Let me make some assumptions. Your data are stored as *txt files somewhere.
I would start with vector of file names
fil<-paste0("data",2004:2014,".txt")
fil
[1] "data2004.txt" "data2005.txt" "data2006.txt" "data2007.txt"
"data2008.txt"
[6] "data2009.txt" "data2010.txt" "data2011.txt" "data2012.txt"
"data2013.txt"
[11] "data2014.txt"
than I would read my files into predefined list
mylist<-vector(length=11, mode="list")
You can add names to this list by
names(mylist) <- fil
Than simple cycle
for (i in seq_along(fil)) {
mylist[[i]] <- read.table(fil[i])
... you could also do some polishing of single files here
}
Now you have list of data frames and you can do many operations on this
whole list instead on separate data frames.
Further operations depend on structure of your data frames and your exact
intention what do you want to do with them.
I wonder why merge is appropriate if you have separate data for each year.
Why not to use rbind followed by aggregate.
But here I am fishing in really murky water.
Cheers
Petr
-----Original Message----- From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Brandon Payne Sent: Wednesday, January 18, 2017 10:57 AM To: r-help at r-project.org Subject: [R] can this be simplified with purrr:map or mapply? I can't get my head around the *apply family of functions, surely there's a better way than what I have. I've tried using paste0 on the years, but then I have lists of strings,
not
data frames.
`realList<-paste0("exp",as.character(2004:2014),"s")`
I can't seem to convert these lists of strings to references to data
frames.
years<-c(2004:2014)
framesEXP<-
list(exp2004s,exp2005s,exp2006s,exp2007s,exp2008s,exp2009s,exp2011s,ex
p2010s,exp2012s,exp2013s,exp2014s)
framesFAM<-
list(fam2004s,fam2005s,fam2006s,fam2007s,fam2008s,fam2009s,fam2011s,fa
m2010s,fam2012s,fam2013s,fam2014s)
data2004<<-merge(exp2004s,fam2004s, by="HHNUM")
data2005<<-merge(exp2005s,fam2005s, by="HHNUM")
data2006<<-merge(exp2006s,fam2006s, by="HHNUM")
data2007<<-merge(exp2007s,fam2007s, by="HHNUM")
data2008<<-merge(exp2008s,fam2008s, by="HHNUM")
data2009<<-merge(exp2009s,fam2009s, by="HHNUM")
data2010<<-merge(exp2010s,fam2010s, by="HHNUM")
data2011<<-merge(exp2011s,fam2011s, by="HHNUM")
data2012<<-merge(exp2012s,fam2012s, by="HHNUM")
data2013<<-merge(exp2013s,fam2013s, by="HHNUM")
data2014<<-merge(exp2014s,fam2014s, by="HHNUM")
dput(data2004, file="../dataframes/data2004.txt")
dput(data2005, file="../dataframes/data2005.txt")
dput(data2006, file="../dataframes/data2006.txt")
dput(data2007, file="../dataframes/data2007.txt")
dput(data2008, file="../dataframes/data2008.txt")
dput(data2009, file="../dataframes/data2009.txt")
dput(data2010, file="../dataframes/data2010.txt")
dput(data2011, file="../dataframes/data2011.txt")
dput(data2012, file="../dataframes/data2012.txt")
dput(data2013, file="../dataframes/data2013.txt")
dput(data2014, file="../dataframes/data2014.txt")
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