On May 10, 2011, at 3:18 AM, noxyp...@gmail.com wrote:
On Fri, May 6, 2011 at 7:41 PM, David Winsemius <dwinsem...@comcast.net
> wrote:
On May 6, 2011, at 11:35 AM, Pete Pete wrote:
Gabor Grothendieck wrote:
On Tue, Dec 7, 2010 at 11:30 AM, Pete Pete
<noxyp...@gmail.com>
wrote:
Hi,
consider the following two dataframes:
x1=c("232","3454","3455","342","13")
x2=c("1","1","1","0","0")
data1=data.frame(x1,x2)
y1=c("232","232","3454","3454","3455","342","13","13","13","13")
y2=c("E1","F3","F5","E1","E2","H4","F8","G3","E1","H2")
data2=data.frame(y1,y2)
I need a new column in dataframe data1 (x3), which is either 0
or 1
depending if the value "E1" in y2 of data2 is true while x1=y1.
The
result
of data1 should look like this:
x1 x2 x3
1 232 1 1
2 3454 1 1
3 3455 1 0
4 342 0 0
5 13 0 1
I think a SQL command could help me but I am too inexperienced
with it
to
get there.
Try this:
library(sqldf)
sqldf("select x1, x2, max(y2 = 'E1') x3 from data1 d1 left join
data2 d2
on (x1 = y1) group by x1, x2 order by d1.rowid")
x1 x2 x3
1 232 1 1
2 3454 1 1
3 3455 1 0
4 342 0 0
5 13 0 1
snipped Gabor's sig
That works pretty cool but I need to automate this a bit more.
Consider
the
following example:
list1=c("A01","B04","A64","G84","F19")
x1=c("232","3454","3455","342","13")
x2=c("1","1","1","0","0")
data1=data.frame(x1,x2)
y1=c("232","232","3454","3454","3455","342","13","13","13","13")
y2=c("E13","B04","F19","A64","E22","H44","F68","G84","F19","A01")
data2=data.frame(y1,y2)
I want now to creat a loop, which creates for every value in list1
a new
binary variable in data1. Result should look like:
x1 x2 A01 B04 A64 G84 F19
232 1 0 1 0 0 0
3454 1 0 0 1 0 1
3455 1 0 0 0 0 0
342 0 0 0 0 0 0
13 0 1 0 0 1 1
Loops!?! We don't nee no steenking loops!
xtb <- with(data2, table(y1,y2))
cbind(data1, xtb[match(data1$x1, rownames(xtb)), ] )
x1 x2 A01 A64 B04 E13 E22 F19 F68 G84 H44
232 232 1 0 0 1 1 0 0 0 0 0
3454 3454 1 0 1 0 0 0 1 0 0 0
3455 3455 1 0 0 0 0 1 0 0 0 0
342 342 0 0 0 0 0 0 0 0 0 1
13 13 0 1 0 0 0 0 1 1 1 0
I am guessing that you were to ... er, busy? ... to complete the
table?
--
David Winsemius, MD
West Hartford, CT
Thanks a lot! Pretty simple. I am so much used to SQLDF right now.
So how would you handle more complicated strings like that:
y1=c("232","232", "232",
"3454","3454","3455","342","13","13","13","13")
y2=c("E13","B04 A01 F19","B04","F19","A64 G84 A05","E22","H44
C35","F68","G84","F19","A01")
data2=data.frame(y1,y2)
Where you want to extract for instance all "A01" from the strings?
I think you need either to explain what you want in more words of the
English language or to offer an example of the desired output. I
suspect you did not want something as simple as this:
> A01.instances <- grep("A01" , data2$y2)
> A01.instances
[1] 2 11
> data2[A01.instances, ]
y1 y2
2 232 B04 A01 F19
11 13 A01
Or maybe you did?
--
David Winsemius, MD
West Hartford, CT
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