On Aug 2, 2012, at 5:57 PM, ivo welch wrote:
I would like to insert a few modest size data frames directly into my
R code. a short illustration example of what I want is
d <- read.csv( _END_, row.names=1 )
, "col1", "col2"
"row1",1,2
"row2",3,4
__END__
right now, the data sits in external files. I could put each column
into its own vector and then combine into a data frame, but this seems
ugly. is there a better way to embed data frames? I searched for the
answer via google, but could not find it. it wasn't obvious in the
data import/export guide.
It's not really
d <- read.csv( text=' "col1", "col2"
"row1",1,2
"row2",3,4'
, row.names=1 )
d
############
col1 col2
row1 1 2
row2 3 4
#############
dput(d)
##########
structure(list(col1 = c(1L, 3L), col2 = c(2L, 4L)), .Names = c("col1",
"col2"), class = "data.frame", row.names = c("row1", "row2"))
#
# So you can assign the 'structure' to a name and make a duplicate:
d2 <- structure(list(col1 = c(1L, 3L), col2 = c(2L, 4L)), .Names =
c("col1",
"col2"), class = "data.frame", row.names = c("row1", "row2"))
d2
#-----------
col1 col2
row1 1 2
row2 3 4
Besides dput, there is also the dump function. The import-export
manual does mention it, but not in a context which would be very
helpful. The source() function will run text through the parse-eval-
print loop.
source(textConnection(' d3 <- structure(list(col1 = c(1L, 3L), col2
= c(2L, 4L)), .Names = c("col1", "col2"), class = "data.frame",
row.names = c("row1", "row2"))' ) )
> d3
col1 col2
row1 1 2
row2 3 4
regards,
/iaw
----
Ivo Welch (ivo.we...@gmail.com)
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
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David Winsemius, MD
Alameda, CA, USA
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
