Hi list,
I run R on Linux and OSX. On both systems I use R version 2.9.2 (2009-08-24)
and reshape version: 0.8.2 (2008-11-04). When I do a melt with
na.rm=T on a data frame I get different results on these systems:
library(reshape)
x <- read.table(textConnection("char trial wn
p E10I13D0 4
r E10I13D0 4
a E10I13D0 4
c E10I13D0 4
t E10I13D0 4
i E10I13D0 4
c E10I13D0 4
e E10I13D0 4
d E10I13D0 4
, E10I13D0 NA"), head=T)
melt(x, measure.vars="char", na.rm=T)
On Linux I get:
1 E10I13D0 4 char p
2 E10I13D0 4 char r
3 E10I13D0 4 char a
4 E10I13D0 4 char c
5 E10I13D0 4 char t
6 E10I13D0 4 char i
7 E10I13D0 4 char c
8 E10I13D0 4 char e
9 E10I13D0 4 char d
But on OSX I get:
1 E10I13D0 4 char p
2 E10I13D0 4 char r
3 E10I13D0 4 char a
4 E10I13D0 4 char c
5 E10I13D0 4 char t
6 E10I13D0 4 char i
7 E10I13D0 4 char c
8 E10I13D0 4 char e
9 E10I13D0 4 char d
10 E10I13D0 NA char ,
What's causing this glitch? Is there a simple way to subset lines
that do not have any NAs? I'm looking for a line that I can use for
all data.frames without modification.
As always: thanks a lot!
Titus
Hi Titus, The latest version of reshape is 0.8.3 - perhaps upgrading will fix your problem. Hadley On Sat, Feb 6, 2010 at 4:51 AM, Titus von der Malsburg <malsburg at gmail.com> wrote:> Hi list, > > I run R on Linux and OSX. ?On both systems I use R version 2.9.2 (2009-08-24) > and reshape version: 0.8.2 (2008-11-04). ?When I do a melt with > na.rm=T on a data frame I get different results on these systems: > > library(reshape) > > x <- read.table(textConnection("char trial wn > p E10I13D0 ?4 > r E10I13D0 ?4 > a E10I13D0 ?4 > c E10I13D0 ?4 > t E10I13D0 ?4 > i E10I13D0 ?4 > c E10I13D0 ?4 > e E10I13D0 ?4 > d E10I13D0 ?4 > , E10I13D0 NA"), head=T) > > melt(x, measure.vars="char", na.rm=T) > > On Linux I get: > > ?1 E10I13D0 ?4 ? ? char ? ? p > ?2 E10I13D0 ?4 ? ? char ? ? r > ?3 E10I13D0 ?4 ? ? char ? ? a > ?4 E10I13D0 ?4 ? ? char ? ? c > ?5 E10I13D0 ?4 ? ? char ? ? t > ?6 E10I13D0 ?4 ? ? char ? ? i > ?7 E10I13D0 ?4 ? ? char ? ? c > ?8 E10I13D0 ?4 ? ? char ? ? e > ?9 E10I13D0 ?4 ? ? char ? ? d > > But on OSX I get: > > ?1 ?E10I13D0 ?4 ? ? char ? ? p > ?2 ?E10I13D0 ?4 ? ? char ? ? r > ?3 ?E10I13D0 ?4 ? ? char ? ? a > ?4 ?E10I13D0 ?4 ? ? char ? ? c > ?5 ?E10I13D0 ?4 ? ? char ? ? t > ?6 ?E10I13D0 ?4 ? ? char ? ? i > ?7 ?E10I13D0 ?4 ? ? char ? ? c > ?8 ?E10I13D0 ?4 ? ? char ? ? e > ?9 ?E10I13D0 ?4 ? ? char ? ? d > ?10 E10I13D0 NA ? ? char ? ? , > > > What's causing this glitch? ?Is there a simple way to subset lines > that do not have any NAs? ?I'm looking for a line that I can use for > all data.frames without modification. > > As always: thanks a lot! > > ?Titus > > ______________________________________________ > R-help at r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. >-- http://had.co.nz/
On Sat, Feb 6, 2010 at 8:23 PM, hadley wickham <h.wickham at gmail.com> wrote:> The latest version of reshape is 0.8.3 - perhaps upgrading will fix > your problem.Thanks for your response, Hadley! I just did the upgrade on the Linux system. On OSX I was already at 0.8.3. Now, I get the same result on both systems. However, the result includes the NAs although I said na.rm=T: library(reshape) x <- read.table(textConnection("char trial wn p E10I13D0 4 r E10I13D0 4 a E10I13D0 4 c E10I13D0 4 t E10I13D0 4 i E10I13D0 4 c E10I13D0 4 e E10I13D0 4 d E10I13D0 4 , E10I13D0 NA"), head=T) melt(x, measure.vars="char", na.rm=T) trial wn variable value 1 E10I13D0 4 char p 2 E10I13D0 4 char r 3 E10I13D0 4 char a 4 E10I13D0 4 char c 5 E10I13D0 4 char t 6 E10I13D0 4 char i 7 E10I13D0 4 char c 8 E10I13D0 4 char e 9 E10I13D0 4 char d 10 E10I13D0 NA char , The documentation says "na.rm: Should NA values be removed from the data set?". Do I get something wrong? Titus
Ok, I studied the source code of melt.data.frame. With na.rm=T melt operates normally except that it deletes rows from the molten data.frame that have NAs in the value column. NAs in the id.vars are not touched. This could be clearer in the documentation especially as it seems that earlier versions of reshape behaved differently. Best, Titus