First you should read the documentation carefully and look at the examples.
Your data are tabular. Spatstat expects a row for each point with the x and
y coordinates for that point.

# First use dput() to create a version of the data that you can copy into
your r-help requests so we
# can easily generate the data set:

Lv2.8 <- structure(list(X1 = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
  1L, 1L), X2 = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L),
  X3 = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), X4 = c(1L, 
  1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L), X5 = c(1L, 0L, 1L, 
  1L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 1L), X6 = c(1L, 1L, 1L, 0L, 1L, 
  1L, 1L, 1L, 0L, 1L, 1L, 0L), X7 = c(1L, 1L, 1L, 1L, 1L, 0L, 1L, 
  1L, 1L, 1L, 1L, 0L), X8 = c(1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 
  0L, 1L, 0L), X9 = c(1L, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 
  1L), X10 = c(1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 1L), 
  X11 = c(1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L), 
  X12 = c(0L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L)), .Names = c("X1",

  "X2", "X3", "X4", "X5", "X6", "X7", "X8", "X9", "X10", "X11", 
  "X12"), class = "data.frame", row.names = c(NA, -12L))

# Now generate matrices of coordinates x=1:12 and y=1:12 and combine them

x <- matrix(col(Lv2.8), nrow=144, ncol=1)
y <- matrix(row(Lv2.8), nrow=144, ncol=1)
xy <- cbind(x, y)

#  Now a matrix of the 1/0 values
z <- matrix(as.matrix(Lv2.8), nrow=144, ncol=1)

# Finally eliminate the coordinates that are empty
points <- xy[as.logical(z),]

# Now your commands will work (with the window expanded slightly)
X <- as.ppp(points, owin(c(0, 13), c(0,13)))
plot(X)

----------------------------------------------
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352




> -----Original Message-----
> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> project.org] On Behalf Of AMFTom
> Sent: Monday, April 16, 2012 11:25 AM
> To: r-help@r-project.org
> Subject: [R] Creating a point pattern with spatstat
> 
> I have presence/absence data in the following format:
> 
>       1       2       3       4       5       6       7       8       9
10      11
>       12
> 1     1       1       1       1       1       1       1       1       1
1       1
>       0
> 2     1       1       1       1       0       1       1       1       1
1       1
>       0
> 3     1       1       1       1       1       1       1       1       1
1       0
>       1
> 4     1       1       1       1       1       0       1       1       1
1       0
>       1
> 5     1       1       1       1       1       1       1       0       0
1       1
>       1
> 6     1       1       1       0       0       1       0       0       1
1       1
>       1
> 7     1       1       1       1       0       1       1       0       0
0       1
>       1
> 8     1       1       1       1       1       1       1       0       0
0       1
>       0
> 9     1       1       1       1       0       0       1       0       0
0       1
>       1
> 10    1       1       1       1       1       1       1       0       0
0       0
>       1
> 11    1       1       1       1       1       1       1       1       1
0       0
>       1
> 12    1       1       1       1       1       0       0       0       1
1       1
>       1
> 
> Which I want to use to create a ppp object in spatstat. I tried:
> 
> > X <- as.ppp(Lv2.8, owin(c(0, 12), c(0,12)))
> 
> and got
> 
> > plot(X)
>        0        1
> 0.000000 1.187939
> 
> http://r.789695.n4.nabble.com/file/n4562047/attempt1_ppp.jpg
> 
> Which obviously isn't what I'm after. To obtain a simple graphic of
> where
> points are present on the plot, should I convert the raw data to
> non-numerical values?
>  Thanks,
> Tom
> 
> --
> View this message in context: http://r.789695.n4.nabble.com/Creating-a-
> point-pattern-with-spatstat-tp4562047p4562047.html
> Sent from the R help mailing list archive at Nabble.com.
> 
> ______________________________________________
> R-help@r-project.org mailing list
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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.

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