[R] [OT] Is data copyrightable?
A relevant book on this important (and evolving) topic is Math You Can't Use: Patents, Copyright, and Software by Ben Klemens (2006) __ R-help@stat.math.ethz.ch 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.
Re: [R] A question about POSIXct
Hello, It seems that danish is a numeric vector with attributes attached - the attribute vector is POSIXct and is the same length as danish. You can create this from a data frame like this: x - data.frame(Date = ISOdate(2007, 5, 1:10), Value = rnorm(10)) str(x) 'data.frame': 10 obs. of 2 variables: $ Date :'POSIXct', format: chr 2007-05-01 12:00:00 2007-05-02 12:00:00 2007-05-03 12:00:00 2007-05-04 12:00:00 ... $ Value: num 1.891 0.741 -0.368 1.701 -0.660 ... xx - x$Value attr(xx, times) - x$Date str(xx) atomic [1:10] 0.0414 -0.7124 -1.2976 0.3101 0.4343 ... - attr(*, times)='POSIXct', format: chr [1:10] 2007-05-01 12:00:00 2007-05-02 12:00:00 2007-05-03 12:00:00 2007-05-04 12:00:00 ... HTH Cheers, Mike. Dear List: I have a simple two-column data set in .csv format, with the first column being the date and second column being some value. I use read.csv() to import the data as follows: x - read.csv(myfile.csv,header=T, dec=., colClasses=c(Date=POSIXct)) The structure of x is: str(x) `data.frame': 2959 obs. of 2 variables: $ Date:'POSIXct', format: chr 1998-01-01 1998-01-01 1998-01-01 1998-01-01 ... $ Value: num 0.07379 0.07181 0.01555 0.00630 0.00688 ... This is not what I want. Instead, I want the structure to be the same as that of the following data set: str(danish) atomic [1:2167] 1.68 2.09 1.73 1.78 4.61 ... - attr(*, times)='POSIXct', format: chr [1:2167] 1980-01-02 18:00:00 1980-01-03 18:00:00 1980-01-04 18:00:00 1980-01-06 18:00:00 ... danish is a data set that the package evir comes with. Any help would be appreciated. [[alternative HTML version deleted]] __ R-help@stat.math.ethz.ch 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.
Re: [R] A question about POSIXct
Jacques Wagnor wrote: A follow-up question: The example in ?attr uses a character string of dim. Besides dim and times, what other character strings are available or can be used? Ah, it's not limited to those. Any character string would do (guru caveats aside). I suspect my narrow answer to your question might lead you astray, perhaps you should cut to the chase and ask how to get your data file into which function in evir . . . Cheers, Mike. On 5/3/07, Michael Sumner [EMAIL PROTECTED] wrote: Hello, It seems that danish is a numeric vector with attributes attached - the attribute vector is POSIXct and is the same length as danish. You can create this from a data frame like this: x - data.frame(Date = ISOdate(2007, 5, 1:10), Value = rnorm(10)) str(x) 'data.frame': 10 obs. of 2 variables: $ Date :'POSIXct', format: chr 2007-05-01 12:00:00 2007-05-02 12:00:00 2007-05-03 12:00:00 2007-05-04 12:00:00 ... $ Value: num 1.891 0.741 -0.368 1.701 -0.660 ... xx - x$Value attr(xx, times) - x$Date str(xx) atomic [1:10] 0.0414 -0.7124 -1.2976 0.3101 0.4343 ... - attr(*, times)='POSIXct', format: chr [1:10] 2007-05-01 12:00:00 2007-05-02 12:00:00 2007-05-03 12:00:00 2007-05-04 12:00:00 ... HTH Cheers, Mike. __ R-help@stat.math.ethz.ch 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.
[R] using alpha transparency for lines in levelplot
Hello, I'm having trouble with using the alpha channel for transparency
with lines with lattice levelplots.
If I use transparency via the alpha argument to rgb to overplot lines on
levelplot the transparent colour affects all of the region colours in the
plot.
Can anyone explain why the difference in region colours?
Warning: this code attempts to create PDF files in working
directory - they may be downloaded, see below
library(lattice)
## prepare data
data(volcano)
xy - expand.grid(x = 1:nrow(volcano), y = 1:ncol(volcano))
xy$z - as.vector(volcano)
## panel function to add lines with grey(0.3)
my.panel - function(...) {
panel.contourplot(...);
panel.xyplot(1:60, runif(60, 1, 60), type = l, lwd = 3, col =
grey(0.3))
}
## this works fine
pdf(plot.pdf, version = 1.4)
levelplot(z~x+y, xy, panel = my.panel)
dev.off()
## panel function to add lines with grey transparency
my.paneltransp - function(...) {
panel.contourplot(...);
panel.xyplot(1:60, runif(60, 1, 60), type = l, lwd = 3, col =
rgb(0.3, 0.3, 0.3, 0.5))
}
## this results in grey bleeding on the coloured regions of the plot
pdf(alpha.pdf, version = 1.4)
levelplot(z~x+y, xy, panel = my.paneltransp)
dev.off()
I've put the pdfs created here for reference:
http://staff.acecrc.org.au/~mdsumner/R/
Cheers, Mike.
I'm using Windows XP, SP2:
sessionInfo()
R version 2.4.1 (2006-12-18)
i386-pc-mingw32
locale:
LC_COLLATE=English_Australia.1252;LC_CTYPE=English_Australia.1252;LC_MONETARY=English_Australia.1252;LC_NUMERIC=C;LC_TIME=English_Australia.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods
[7] base
other attached packages:
lattice
0.14-16
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Re: [R] using alpha transparency for lines in levelplot
Deepayan Sarkar wrote:
I don't understand what you are trying to say. Here's a modified
version of your code:
Sorry, it's not that the transparency affects the plot regions but the
colour of the lines darkens the region
colours. I.e. with grey lines the regions are greyed. In your PDF the
regions are greyed (darker)
in both plots than the colours I see with the usual lattice colour scheme.
Do you notice any difference between the region colours of the plots if
you write
them to separate files?
If not it must be my viewer.
Cheers, Mike.
--
## panel function to add lines with grey(0.3)
my.panel - function(...) {
panel.xyplot(1:60, runif(60, 1, 60), type = l, lwd = 3,
col = grey(0.3))
panel.contourplot(...);
panel.xyplot(1:60, runif(60, 1, 60), type = l, lwd = 3,
col = grey(0.3))
}
## panel function to add lines with grey transparency
my.paneltransp - function(...) {
panel.xyplot(1:60, runif(60, 1, 60), type = l, lwd = 3,
col = rgb(0.3, 0.3, 0.3, 0.5))
panel.contourplot(...)
panel.xyplot(1:60, runif(60, 1, 60), type = l, lwd = 3,
col = rgb(0.3, 0.3, 0.3, 0.5))
}
pdf(alpha.pdf, version = 1.4)
## this works fine
levelplot(z~x+y, xy, panel = my.panel)
## this doesn't?
levelplot(z~x+y, xy, panel = my.paneltransp)
dev.off()
--
and the resulting 2-page PDF file is at
http://dsarkar.fhcrc.org/R/alpha.pdf
I don't see any evidence of transparency in the 'region' colors (the
lines behind the level plot never show up). Are you sure whatever you
are seeing is not an artifact of your display application?
Deepayan
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Re: [R] using alpha transparency for lines in levelplot - SUMMARY
Hello, thanks to Deepayan Sarkar for sorting me out on this one. The problem with transparent lines affecting region colour in lattice plot appears when using Adobe Reader (v 8 in my case). I've only viewed the file on Windows XP. I've tried using Foxit Reader to view the file and there's no problem. Cheers, Mike. __ R-help@stat.math.ethz.ch 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.
Re: [R] reading BMP into R
Another way: require(sp) require(rgdal) library(rgdal) ## read using one of the many GDAL drivers d - readGDAL(im.bmp) summary(d) ## map colours for RGB and display col - SGDF2PCT(d) d$idx - col$idx image(d, idx, col = col$ct) ## Available drivers: gdalDrivers() Milton Cezar Ribeiro wrote: / Hi R-gurus // // How can I read my bmp files into R? // // Kind regards, // // // miltinho // Brazil / / / __ R-help@stat.math.ethz.ch 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.
Re: [R] R software to place points on Yahoo maps
Is there any R software that create an image from Yahoo maps together with points of known UTM coordinates (or lat/long marked? Note that my region of interest is not covered in sufficient detail by Google maps. It actually does not have to be Yahoo maps as long as it has sufficient coverage of my region but that's the one I have found with coverage of my region. The scale I am interested in is a city block. Thanks. rgdal in combination with sp. You'll need to georegister the image, as the yahoo maps interface is unlikely to provide a format supporting this metadata, but you can do that easily with two reference coordinates. The workflow might go like this (untested). You could continue the query on R-Sig-Geo. Hope this helps. There are freely available tools for reading image data directly from Yahoo, Google and Virtual Earth in georeferenced versions, but I've only used them via commercial GIS. If you can describe the map you want I'd be interested in exploring that option. Cheers, Mike. library(rgdal) im - readGDAL(yahooMap.png) ## a file saved from Yahoo Maps ## create index for RGB colours col - SGDF2PCT(im) ## im is a spatialGridDataFrame with 3 bands im$ind - col$idx ## add the colour index to the data frame image(im, ind, col = col$ct) ## BUT you won't be able to plot UTM on this yet ## you'll need to create a new GridTopology with appropriate cellcentre.offset and cellsize ogt - getGridTopology(im) . . . find values for offsets and pixel size gt - GridTopology(cc.offset, csize, [EMAIL PROTECTED]) ## recreate the object im - SpatialGridDataFrame(gt, [EMAIL PROTECTED]) image(im, idx, col = col$ct) points(utm.x, utm.y) ## etc. __ R-help@stat.math.ethz.ch 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.
[R] [R-pkgs] trip package on CRAN
Hello, The 'trip' package provides extensions to the 'sp' spatial classes for animal track data. Trip objects are created from SpatialPointsDataFrame objects by specifying the columns containing ID and date-time data. Argos formats can be read directly, and there are functions for basic speed filtering and spatial gridding of time spent. Tight integration with 'sp' means that projections and general I/O can be handled using 'rgdal'. (This really is excellent and so I thank the developers of these and supporting packages). Trip is intended for use with location data that are irregularly spaced in time - this contrasts with the rationale behind the traj class in 'adehabitat'. Primarily it has been developed with marine animal data in mind, but the validation of trip classes used should general for many applications. There is a short vignette available from here - it's not integrated into the CRAN-available package yet. http://staff.acecrc.org.au/~mdsumner/Rutas/trip.pdf Cheers, Michael Sumner ___ R-packages mailing list R-packages@stat.math.ethz.ch https://stat.ethz.ch/mailman/listinfo/r-packages __ R-help@stat.math.ethz.ch 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.
Re: [R] Do you know if you can map a large minmum spanning tree in R?
At 09:47 AM 8/19/2004, Briggs, Meredith M wrote:
Do you know if you can map in R?
I have my minimum spanning tree, but as there are 1371 nodes (all
over Australia) I'd like to be able to graph them as they actually
would be on the map.
Do you know if this is possible?
You can certainly map in R. Depending on the coordinate system of your
data . . .
but, e.g. - if it's lat/lon - perhaps the easiest way is to install the
maps package and you can add the continental outlines to an existing plot:
## display nodes code here . . .
library(maps)
map('world',add=T,xlim=c(109,157),ylim=c(-47,-7))
There are plenty of other options, if you have your own map data (or want
to use another source). Feel free to provide more detail about your
current plotting methods and coordinate system.
Also, the package mapdata contains a high resolution continental dataset
-worldHires
Hope that helps, Mike.
###
Michael Sumner - PhD. candidate
Maths and Physics (ACE CRC IASOS) and Zoology (AWRU)
University of Tasmania
Private Bag 77, Hobart, Tas 7001, Australia
Phone: 6226 1752
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