Displaying 20 results from an estimated 9000 matches similar to: "PNG files and the png function"
2002 Apr 18
2
Background in lattice plots using dotplot()
platform i586-pc-linux-gnu
arch i586
os linux-gnu
system i586, linux-gnu
status
major 1
minor 4.1
year 2002
month 01
day 30
language R
I can't seem to get rid of the slightly green background when I use
dotplot(). It shows on the screen in the
2004 Jul 28
1
Transparent backgrounds in png files
The result I'm aiming to achieve is a bitmap that can be imported into
a PowerPoint file that shows what's behind the lines of the plot.
There's a way in PowerPoint that almost works. By choosing a colour
to set as transparent, what is behind the graphic is indeed visible,
but it's at the expense of losing line and text definition.
I notice there have been discussions about
2002 Jul 29
2
How do we omit the coastline using map?
I've been able to do most things I'd like to using the map package,
but I can't figure out how to fill a region without drawing a black
outline. I can draw the outline in a specified colour, but as soon as
I set fill to TRUE, I get a black outline in addition.
My map has a lot of activity on the coastline so I don't want a black
line obscuring what I do there. A pale colour to
2003 Apr 17
2
make check failure with R-1.7.0
I'm baffled. When I run make check after installing from source, I
get a Error 2. From my understanding of how these things work, it
would appear to be coming from this (as at the end of base-Ex.Rout.fail:
> has.VR <- require(MASS, quietly = TRUE)
Attaching package 'MASS':
The following object(s) are masked from package:base :
confint confint.lm nclass.FD nclass.scott
2003 May 05
1
Matrix manipulation
I have a square matrix wherein a '*' indicates an HSD between the
levels indicated by row name and column name. The '.' is simply
marking the diagonal. A blank indicates the same group
A B C D E F G H I J K L M N
A .
B .
C * * .
D * * .
E * * * .
F * * * .
2005 Nov 06
1
kinship package example data
I've been looking at the kinship package which looks as though it
might be appropriate for my purposes. What I can't find is any
reference to the data that is used in the example code. A dataframe
called d10 with column names, upn, dadid, momid, sex and affect is
required. One can get an idea of what sort of values should be in
most columns from the description in the pedigree function,
2003 Apr 22
2
How do I get 10^4 to become 10000?
Of course, that's as trivial as it gets on the command line, but I
can't work out how to get a column of numbers that are entered as
"10^5" from its 'character' format into a numeric one?
I feel a bit embarrassed asking such a simple question. Too much
Easter....
Thanks
--
Patrick Connolly
HortResearch
Mt Albert
Auckland
New Zealand
Ph: +64-9 815 4200 x 7188
2004 Dec 21
4
Removing trailing spaces
Some years ago when I used S-PLUS, I seem to remember, there was a
discussion about a simple method of removing trailing spaces from
vector elements. I'd be fairly sure the same would work in R, but I
can't find any mention of anything like it in the R archives or with
help.search().
There are ways I could do it with substring(), but I seem to remember
there was something more elegant.
2003 May 07
1
Tick labels on y axis in lattice plots
I seem to remember this was discussed a year or two ago, but I can't
find it in the archives.
platform i686-pc-linux-gnu
arch i686
os linux-gnu
system i686, linux-gnu
status
major 1
minor 7.0
year 2003
month 04
day 16
language R
2006 Jan 18
1
Canonical Variance Analysis by any other name?
I've been asked about "Canonical Variance Analysis" (CVA). I don't
see any reference to it searching the R site. Does it go by other
names?
Genstat describes it thus:
Canonical variates analysis operates on a within-group sums of squares
and products matrix, calculated from a set of variates and factor that
specifies the grouping of units. It finds linear combinations of the
2004 Jan 14
2
Binomial glms with very small numbers
V&R describes binomial GLMs with mortality out of 20 budworms.
Is it appropriate to use the same approach with mortality out of
numbers as low as 3? I feel reticent to do so with data that is not
very continuous. There are one continuous and one categorical
independent variables.
Would it be more appropriate to treat the response as an ordered
factor with four levels? If so, what family
2002 Sep 18
2
More on list to data frame (was: Re: List to Data Frame
Hi,
Now suppose I have just one list called FOO, which has 25 objects, e.g.:
[[1]]
1 2 3 4 5
[[2]]
6 7 8 9 10
.
.
.
And I want to do something like:
FRED <- data.frame(cbind(unlist(FOO[[1]]),
unlist(FOO[[2]]),
# ... for all 25 subsets
))
Is it possible to do this, without doing unlist(FOO[[i]]) 25
2003 Apr 22
4
Default value for title in postscript function
I like the fact that the postscript function enables the possbiility
of a more useful title than before. However, I'd prefer the default
to be the file name.
It's very simple for me to make my own postscript function that does
just that simply by setting title = file. I always use onefile =
TRUE, so it always works (so far). However, I'm a little reluctant to
do that in case some
2003 Apr 22
4
Default value for title in postscript function
I like the fact that the postscript function enables the possbiility
of a more useful title than before. However, I'd prefer the default
to be the file name.
It's very simple for me to make my own postscript function that does
just that simply by setting title = file. I always use onefile =
TRUE, so it always works (so far). However, I'm a little reluctant to
do that in case some
2002 Aug 12
1
Level sets of factors are different (panel.superpose)
I investigated why I was getting this error message...
Error in Ops.factor(groups[subscripts], vals[1]) :
Level sets of factors are different
which led me to putting a browser in panel.superpose:
Called from: panel.superpose(x, y, subscripts, ...)
Browse[1]> vals
vals
[1] 1 2 3
Levels: 1 2 3
Browse[1]> groups[subscripts]
groups[subscripts]
[1] 1 2 3 1 2 1 2 3 1 2 3 1 2 3
Levels: 1 2
2003 Sep 23
1
Omitting blank lines with read.table
Say we have a tab delimited file called bug.txt
Part Rep Cage Hb pupae
1 1 S 32
1 M 34
L 42
2 S 36
M 28
L 36
read.delim("bug.txt")
Part Rep Cage Hb.pupae
1 1 1 S 32
2 NA 1 M 34
3 NA NA L 42
4 NA NA NA
5 NA NA NA
6 NA 2 S 36
7 NA NA M 28
8 NA NA L 36
>
2004 Feb 13
1
How to get time differences in consistent units?
I'm still having trouble getting to grips with time classes.
I wish to calculate the difference in days between events.
Browse[1]> insp.j$First
[1] "2002-02-19 13:00:00 NZDT"
Browse[1]> spray.j$Date
[1] "2001-11-29 13:00:00 NZDT"
Browse[1]> insp.jk - spray.j$Date
Time difference of 82 days
If I save insp.jk to a vector, I get a nice useful value of 82.
2002 Oct 04
1
Does the perl language have an equivalent to browser?
I'm asking on this list because the question will be more easily
understood than on a Perl list. Lots of talented people using R also
know how to use Perl, so it's easier to ask them.
Running a Perl script with the -d switch can do some pretty neat
things, but as far as I can tell, every line has to be done
individually. Is there a way to specify where to stop in the way
browser() does
2002 Oct 28
2
subsetting character vector into groups of numerics
I'm sure there's a simple way to do this, but I can only think of
complicated ones.
I have a number of character vectors that look something like this:
"12 78 23 9 76 43 2 15 41 81 92 5(92 12) (81 78 5 76 9 41) (23 2 15 43)"
I wish to get it into a list of numerical vectors like this:
$Group
[1] 12 78 23 9 76 43 2 15 41 81 92 5
$Subgroup1
[1] 92 12
$Subgroup2
[1] 81 78 5
2005 Feb 17
3
help on deleting NAs
Dear R friends
My goal is to eliminate this specific group(1) if the # of NAs in this
group greater than
50%(specifically say greater than 3). Would you please show me how to do
it.
I have a sample data as following:
Thanks a lot.
Kevin Lin
y group f1 f2 f3
30 NA 1 1 1 1
27 NA 1 1 2 2
48 NA 1 2 1 2
40 -0.6066416 1 2 2 1
24