I don't know how to choose specific columns using the colClasses
option in fread
. I tried to use NULL
in several ways but nothing worked. Here's a minimal example. I just want columns 1 and 3.
dt <- data.table(a=1:5,b=6:10,c=10:14) write.csv(dt,"dt.csv",row.names=F) dt <- fread("dt.csv",colClasses=?) packageVersion("data.table") [1] ‘1.8.10’ getRversion() [1] ‘3.0.1’
The imported dataset should look like this:
a c 1: 1 10 2: 2 11 3: 3 12 4: 4 13 5: 5 14
UPDATE: This is now implemented in v1.8.11 on R-Forge as of commit 966. From NEWS :
fread
'sdrop
,select
andNULL
incolClasses
are implemented. To drop or select columns by name or by number. See examples in?fread
.
The examples in ?fread
are :
data = "A,B,C,D\n1,3,5,7\n2,4,6,8\n" # colClasses fread(data, colClasses=c(B="character",C="character",D="character")) fread(data, colClasses=list(character=c("B","C","D"))) # saves typing fread(data, colClasses=list(character=2:4)) # same using column numbers # drop fread(data, colClasses=c("B"="NULL","C"="NULL")) # as read.csv fread(data, colClasses=list(NULL=c("B","C"))) # same fread(data, drop=c("B","C")) # same but less typing, easier to read fread(data, drop=2:3) # same using column numbers # select # (in read.csv you need to work out which to drop) fread(data, select=c("A","D")) # less typing, easier to read fread(data, select=c(1,4)) # same using column numbers
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