similar to: Combining two dataframes and specifying tolerance levels

Hello everyone, Merging two dataframes should be easy. However when I try to merge, R doesn't recognize identical values, even if I am doing it by values that have no decimals. willclayong: vs30 LON LAT Net X wills.cat wills.vs30 clahan.cat clahanvs30 PolyID.wills PolyID.clahan tif.cat STA ELEVATION tif.vs30 1 338.539 -3849590 4319319 <NA> 2 D 301

hello all, I have a data frame and I want to create a column which assigns a letter based upon the value in another column. The data column has velocities ranging from 0 to 1000. So for example, for velocities between 0 and 300 I'd like to assign the letter "A" in the new column, for 300-600, "B" and so on and so forth. How would I do this? Thank you very much! Mehdi

I imported the attached tiff file and converted the coordinate system to long lat and graphed it: californiatiff<- readGDAL("california1.tif") proj4string(californiatiff) > rasterprojection <- spTransform(californiatiff, CRS("+proj=longlat") however, when using the plot command for rasterprojection, I get a blob. I can see the outline of the state of california and

Hey, folk. I am trying to get many figures by using the function "xyplot" in the library "lattice". I tried to using the loop to finish it quickly. But I cannot open the saved file after I run the program. But if I use the function "plot" to get other simply figures, it can work. So I want to ask how I can get the saved figures by using "xyplot". The

i have a matrix with the following dimensions 136 3 and it looks something like [,1] [,2] [,3] [1,] 402 675 1.802758 [2,] 402 696 1.938902 [3,] 402 699 1.994253 [4,] 402 945 1.898619 [5,] 424 470 1.812857 [6,] 424 905 1.816345 [7,] 470 905 1.871252 [8,] 504 780 1.958191 [9,] 504 848 1.997111...............

Hey everybody, I have a matrix with three columns. I want to plot two columns (independent variable) against one column (the defendant). This is my code and the error associated with it: plot(p, q, data=columns) > plot(pprime,q, add=TRUE) Warning messages: 1: In plot.window(...) : "add" is not a graphical parameter 2: In plot.xy(xy, type, ...) : "add" is not a graphical

I'm using xYplot to create a bubble plot of values that I'd like to visualize on top of a filled-in map of the coast, but I'm too much of a lattice (which I understand xYplot is built on) and mapping newbie to figure out how to begin to make this happen. Below is some sample code that doesn't work but illustrates my goal. Any pointers anyone has would be much appreciated.

ear all, This is my first time using this listserv and I am seeking help from the expert. OK, here is my question, I am trying to use impute.knn function in impute library and when I tested the sample code, I got the error as followingt: Here is the sample code: library(impute) data(khanmiss) khan.expr <- khanmiss[-1, -(1:2)] ## ## First example ## if(exists(".Random.seed"))

Hi lily, It's not too hard to do it using dataframes. Getting the indexing right is usually that hardest part: # these values are the centers of the black cells lat<-rep(28:38,11) lon<-rep(98:108,each=11) pop<-sample(80:200,121) # just use the data.frame function blackcells<-data.frame(lat=lat,lon=lon,pop=pop) plot(0,type="n",xlim=c(97.5,108.5),ylim=c(27.5,38.5),

summary: how to convert a 3D array (as obtained from ncdf4::ncvar_get) to a dataframe suitable for use by lattice::levelplot(), e.g., levelplot(conc ~ lon * lat | lev, data = data.frame) details: I have atmospheric data in netCDF files specifying gas concentrations over a 3D space with dimensions longitude, latitude, and (vertical) level. I need to plot the data by level. Since there are

Hope one of you could help with the following question/problem: We would like to explain the spatial distribution of juvenile fish. We have 2135 records, from 75 vessels (code_tripnr) and 7 to 39 observations for each vessel, hence the random effect for code_tripnr. The offset (‘offsetter’) accounts for the haul duration and sub sampling factor. There are no extreme outliers in lat/lon. The model

Hi all I have about 10 folders in my directory i.e Folder 1 – Folder 10. Each Folder has a single excel file containing data with the following attributes “State”,”lat”,”lon”, “address” i.e State Lat Lon Address Anchorage 45.87576 -12.567 Starbucks, Van dyke road, 33456, USA I would like to write a script in R that

Hi Jim, Thanks. It works. I now have more complex problems. If at each blackcell, there are two variables such as pop and mood. For each variable, there are daily records in one year, so 365 records for pop and 365 records for mood. The averaged values for the redcells should be daily records too. What kind of format do you recommend for this problem? Right now, I just get the latitudes and

Okay, I've narrowed the problem down quite a bit. As previously reported, in CentOS 5.2 I get this: $ cvs log Makefile poll: protocol failure in circuit setup cvs [log aborted]: end of file from server (consult above messages if any) Turns out this is a problem with rsh: $ rsh khan ls connect to address 10.24.15.48 port 544: Connection refused Trying krb4 rsh... connect to address

Adding the flags in an opt pass seems to do the trick. I added the flags as follows M.addModuleFlag(llvm::Module::Warning, "Dwarf Version", 3); M.addModuleFlag(llvm::Module::Error, "Debug Info Version", llvm::DEBUG_METADATA_VERSION); llvm-dwarfdump and addr2line now point at a line in .ll files, not the source files. Thanks! /Muneeb On 15 Oct

On Wed, Oct 15, 2014 at 9:04 AM, Adrian Prantl <aprantl at apple.com> wrote: > I have no experience with debug-ir, but is it possible that the debug-ir > pass never sets the debug info version? There should be a named metadata > node > !llvm.module.flags = !{..., !123} > !123 = metadata !{i32 1, metadata !"Debug Info Version", i32 2} > in the .ll output. If

Hi R users, Wonder if somebody could give me help on how to reshape this type of data: ----------------------------------------------------------------------------------------------------------------------- Date:10.09.19 Time:21:39:05 Lat:N62.37.18 Long:E018.07.32 0000-0010 | 28| 28 0010-0020| 302| 302 0020-0030| 42| 42 0030-0040| 2| 2 0040-0050| 1| 1 0060-0070| 1| 1

Yes, I am using opt and llc from the same version (3.5). I know that there were issues with debug-ir in 3.4. I have explored the source tree myself for 3.5 and I know that the pass -debug-ir does kick in with opt. But I have no clue of what happens with the debug information in (and after) the llc pass. /Muneeb On 15 Oct 2014, at 17:14, David Blaikie <dblaikie at gmail.com> wrote: >

Is there a better way to do the following? I have data in a number of tab delimited files. I am using read.delim() to read them, in a loop. I am invoking my code on Linux Fedora 20, from the BASH command line, using Rscript. The code I'm using looks like: arguments <- commandArgs(trailingOnly=TRUE); # initialize the capped_data data.frame capped_data <- data.frame(lpar="NULL",

Hi All- I would like to create a 3d topographic map using lat/lon and z(height). I have been scouring the R help pages and have not located the package I am looking for. Does anyone have a suggestion of package that will work for this? thanks- sherri