Try this:
 xyplot(y ~ x , data = junk.frm, type = c("g",
"p","smooth"), pch=20,
subset=z=="D" & y < 2)
On 26/02/2008, David Afshartous <dafshartous at med.miami.edu>
wrote:>
>  All,
>
>  I'm having problems w/ a simple attempt to subset an xyplot.
>
>  The first plot below is a plot of y versus x for certain values of a third
>  categorical variable z.  Now I'd like to further restrict this to
certain
>  values of variable y.  Neither of the two attempts below work.  Any
>  suggestions much appreciated.  (note: I don't want to merely use ylim
since
>  I have a loess plot and I want this to be calculated w/ the restricted
>  values).
>
>  Thanks,
>  David
>
>
>
>
>  y = c( 0.4,  0.6, -0.1,  0.3,  0.3, -0.2,  0.7,  0.7,  0.2,  0.0,  0.9,
>  -0.1,  0.6, -1.1,  0.8, -1.0,  0.4,  0.1,  0.7, -0.2, -0.1, -0.1,  2.2,
>  0.7,  1.1,  0.2, -0.2, -0.9,  0.4,  0.1, -0.3, -0.4)
>  x = c(4.1000,  4.9600,  1.2000,  3.9000,  3.1875,  1.9000,  1.8625,
>  0.7650,  1.5750,  2.4700,  1.6250,  1.5500,  2.3125,  1.3125,  1.0600,
>  -0.5500,  1.1000,  0.0200, -0.0375,  3.4600,  2.5250,  2.0950,  0.8000,
>  1.6050, -0.4150, -0.7300,  1.1550,  1.4850,  2.2000,  2.2500,  0.6000,
>  2.1000)
>  junk.frm = data.frame(x, y, z = rep(c("D", "P"), 16))
>
>  xyplot(y ~ x , data = junk.frm[junk.frm$z =="D",], type =
c("g", "p",
>  "smooth"), pch = 20)
>
>  xyplot(y ~ x , data = junk.frm[junk.frm$z =="D",], type =
c("g", "p",
>  "smooth"), pch = 20,
>  , subset = junk.frm[junk.frm$y < 2, ])
>  Error in tmp[subset] : invalid subscript type 'list'
>
>  xyplot(y ~ x , data = junk.frm[junk.frm$z =="D",], type =
c("g", "p",
>  "smooth"), pch = 20,
>  data = junk.frm[junk.frm$y < 2 & junk.frm$z =="D", ])
>  Error in xyplot(y ~ x, data = junk.frm[junk.frm$z == "D", ],
type = c("g",
>  :
>   formal argument "data" matched by multiple actual arguments
>
>  ______________________________________________
>  R-help at r-project.org mailing list
>  https://stat.ethz.ch/mailman/listinfo/r-help
>  PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
>  and provide commented, minimal, self-contained, reproducible code.
>
-- 
Henrique Dallazuanna
Curitiba-Paran?-Brasil
25? 25' 40" S 49? 16' 22" O
All,
I'm having problems w/ a simple attempt to subset an xyplot.
The first plot below is a plot of y versus x for certain values of a third
categorical variable z.  Now I'd like to further restrict this to certain
values of variable y.  Neither of the two attempts below work.  Any
suggestions much appreciated.  (note: I don't want to merely use ylim since
I have a loess plot and I want this to be calculated w/ the restricted
values).
Thanks,
David 
y = c( 0.4,  0.6, -0.1,  0.3,  0.3, -0.2,  0.7,  0.7,  0.2,  0.0,  0.9,
-0.1,  0.6, -1.1,  0.8, -1.0,  0.4,  0.1,  0.7, -0.2, -0.1, -0.1,  2.2,
0.7,  1.1,  0.2, -0.2, -0.9,  0.4,  0.1, -0.3, -0.4)
x = c(4.1000,  4.9600,  1.2000,  3.9000,  3.1875,  1.9000,  1.8625,
0.7650,  1.5750,  2.4700,  1.6250,  1.5500,  2.3125,  1.3125,  1.0600,
-0.5500,  1.1000,  0.0200, -0.0375,  3.4600,  2.5250,  2.0950,  0.8000,
1.6050, -0.4150, -0.7300,  1.1550,  1.4850,  2.2000,  2.2500,  0.6000,
2.1000)
junk.frm = data.frame(x, y, z = rep(c("D", "P"), 16))
xyplot(y ~ x , data = junk.frm[junk.frm$z =="D",], type =
c("g", "p",
"smooth"), pch = 20)
xyplot(y ~ x , data = junk.frm[junk.frm$z =="D",], type =
c("g", "p",
"smooth"), pch = 20,
, subset = junk.frm[junk.frm$y < 2, ])
Error in tmp[subset] : invalid subscript type 'list'
xyplot(y ~ x , data = junk.frm[junk.frm$z =="D",], type =
c("g", "p",
"smooth"), pch = 20,
data = junk.frm[junk.frm$y < 2 & junk.frm$z =="D", ])
Error in xyplot(y ~ x, data = junk.frm[junk.frm$z == "D", ], type =
c("g",
: 
  formal argument "data" matched by multiple actual arguments
See the description of the subset argument in ?xyplot
   subset: logical or integer indexing vector (can be specified in terms
           of variables in 'data').  Only these rows of 'data'
will be
           used for the plot.  If 'subscripts' is 'TRUE', the
subscripts
           will provide indices to the rows of data before the
           subsetting is done.  Whether levels of factors in the data
           frame that are unused after the subsetting will be dropped
           depends on the 'drop.unused.levels' argument.
That is not what you are passing.
David Afshartous wrote:> All,
> 
> I'm having problems w/ a simple attempt to subset an xyplot.
> 
> The first plot below is a plot of y versus x for certain values of a third
> categorical variable z.  Now I'd like to further restrict this to
certain
> values of variable y.  Neither of the two attempts below work.  Any
> suggestions much appreciated.  (note: I don't want to merely use ylim
since
> I have a loess plot and I want this to be calculated w/ the restricted
> values).
> 
> Thanks,
> David 
> 
> 
> 
> 
> y = c( 0.4,  0.6, -0.1,  0.3,  0.3, -0.2,  0.7,  0.7,  0.2,  0.0,  0.9,
> -0.1,  0.6, -1.1,  0.8, -1.0,  0.4,  0.1,  0.7, -0.2, -0.1, -0.1,  2.2,
> 0.7,  1.1,  0.2, -0.2, -0.9,  0.4,  0.1, -0.3, -0.4)
> x = c(4.1000,  4.9600,  1.2000,  3.9000,  3.1875,  1.9000,  1.8625,
> 0.7650,  1.5750,  2.4700,  1.6250,  1.5500,  2.3125,  1.3125,  1.0600,
> -0.5500,  1.1000,  0.0200, -0.0375,  3.4600,  2.5250,  2.0950,  0.8000,
> 1.6050, -0.4150, -0.7300,  1.1550,  1.4850,  2.2000,  2.2500,  0.6000,
> 2.1000)
> junk.frm = data.frame(x, y, z = rep(c("D", "P"), 16))
> 
> xyplot(y ~ x , data = junk.frm[junk.frm$z =="D",], type =
c("g", "p",
> "smooth"), pch = 20)
> 
> xyplot(y ~ x , data = junk.frm[junk.frm$z =="D",], type =
c("g", "p",
> "smooth"), pch = 20,
> , subset = junk.frm[junk.frm$y < 2, ])
> Error in tmp[subset] : invalid subscript type 'list'
> 
> xyplot(y ~ x , data = junk.frm[junk.frm$z =="D",], type =
c("g", "p",
> "smooth"), pch = 20,
> data = junk.frm[junk.frm$y < 2 & junk.frm$z =="D", ])
> Error in xyplot(y ~ x, data = junk.frm[junk.frm$z == "D", ], type
= c("g",
> : 
>   formal argument "data" matched by multiple actual arguments
> 
> ______________________________________________
> 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.