similar to: Could R help with locating coordinates in a serial manner?

Hi All I have a dataframe: myframe<-data.frame(ID=c("first","second"),x=c(1,2),y=c(3,4)) And I have a function myfun: myfun<-function(x,y) x+y I would like to write a function myfun2 that takes myframe and myfun as parameters and returns a list as below: mylist $first [1] 4 $second [2] 6 Could you please help me with this? Doesn't seem like the

R-Help community, I understand that data.frames can hold elements of type double, string etc but NOT objects (such as a matrix etc). This is not convenient for me in the following situation. I have a function that takes 2 inputs and returns a vector: testfun <- function (x,y) seq(x,y,1) I have a data.frame defined as follows: testframe<-data.frame(xvalues=c(2,3),yvalues=c(4,5)) I would

Hello R Community, I have the following design question. I have a data set that looks like this (shortened for the sake of example). Gender Age M 70 F 65 M 70 Each row represents a person with an age/gender combination. We could put this data into a data frame. Now, I would like to do some actuarial analysis on this data set. To do so, I need to create and store

Apologees the novice question. Currently climbing up the learning curve of R. Suppose I have the following function and the data.frame: testfun<-function(x=1,y=2) x+y testframe=data.frame(col1=c(1,2),col2=c(3,4)) When evaluating testfun, I want to use the default value for y (which is 2) and for x, I want to feed (one by one) the values in col2 of testframe. How can I achieve this please?

Hello, I have a series of coordinates (latitudes and longitudes) each one/several associated to a code (from 1 to 28). I used function points (latitude, longitudes) to transfer them to a per-prepared map. 1- I wonder how I might be able to automatically add codes (1-28) to the map too? 2-Moreover, mostly there are a few codes from the identical coordinates. What is the function to

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

Hello, I'm trying to plot dayly evolution of the temperature over France from Global Forecast System files ("I'm trying" is the right expression...). akilonlat03 is the temperature for different latitudes and longitudes ? 3 o'clock. akilonlat06 is the temperature for different latitudes and longitudes ? 6 o'clock. I would like to plot akilonlat03 and then akilonlat06

Dear R'Helpers and Colleagues, I have looked in the documentation, asked to some colleagues in the lab, but was unable to solve the following difficulty. I am running R on a iMac G5 with OS 10.4. The file below (73 rows x 144 col) shows the values of a climatic index on the globe with a grid of 2,5 ? x 2,5 ? (NA = no value): ? With image() and map() and running the following

I'm trying to do the following: For each ordered pair of a data frame (D1) containing longitudes and latitudes and unique point IDs, calculate the distance to every point in another data frame (D2) also containing longitudes, latitudes and point IDs, and return to a new variable in D1 the point ID of the nearest element of D2. Dramatis personae (mostly self-explanatory): D1$long

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),

Hello I am trying to draw a basic black and white map of two European countries. After searching some key words in google and reading many pages I arrived to the conclusion that persp() could be used to draw that map. I have prepared three small example files, which are supposed to be the files required for running that function. xvector is a vector with the longitudes yvector is a vector with

Dear all, I have been trying to convert coordinates from longitude/latitude to utm but I got an error. As soon as the longitude coordinate is greater than 90, I get the folloowing error message: "error in pj_transform: latitude or longitude exceeded limits" Here is what I did: SP<-SpatialPoints(cbind(126.59,-14.30),proj4string=CRS("+proj=longlat"))

Hello R-users, I am trying to do an image plot where I have been given latitudes, longitudes and the values at the corresponding locations. A sample of the data is given as follows: values=c(0,1,0,0,0,0,2,2,0,0) lat=c(29.6660,29.6756,29.3492,29.2654,29.2827,29.4070,35.3510,35.6590,35.7587,38.2794)

Hi I am posting in the topic related to the "non-numeric argument to binary operator" as I got similar problem while running the netcdf code. I have attached the file with this post. It is a climate data from NOAA site. The code follows as: library(survival) library(RNetCDF) library(ncdf) setwd("c:/projects/netcdfcsfiles") Conn42 =

> On 1 Jun 2017, at 22:42, Roy Mendelssohn - NOAA Federal <roy.mendelssohn at noaa.gov> wrote: > > Thanks to all for responses/. There was a question of exactly what was wanted. It is the generalization of the obvious example I gave, > >>>> junk1 <- junk[, rev(seq_len(10), ] > > > so that > > junk[1,1,1 ] = junk1[1,10,1] > junk[1,2,1] =

I've succeeded in running the wonderful charting program OziExplorer (3.85.3c), http://www.oziexplorer.com/ , on LINUX (RedHat 6.2) using WINE 20010112. The times to load the program and to load a map did take 5 to 8 times longer using WINE than they did using WIN95. I was able to enable the serial port and have the position computed by my GPS displayed on the chart. OziExplorer is a

Hi there I'm working with ncdf data. I have different dataset for 4 runs, 4 seasons and 3 timeslices (48 datasets in total). The datasets have the following dimensions: 96 longitudes, 48 latitudes and 30 time steps. To read all of them in, I wrote the following loop: runs <- c("03","04","05","06") years <- c(1851,1961,2061) seasons <-

Dear all, I'm having trouble interpolating a number of gridded datasets that I have. I'm quite new to R so any help/advice that can be offered would be much appreciated! Firstly I'll describe my dataset. The data is a grid of the planet at 1 degree spatial resolution, with each grid cell containing a value describing a particular variable (e.g. population density) for coordinate

On the off chance that anyone is still interested, here is the corrected function using aperm(): z <- array(1:120,dim=2:5) f2 <- function(a, wh) { idx <- seq_len(length(dim(a))) dims <- setdiff(idx, wh) idx <- append(idx[-1], idx[1], wh-1) aperm(apply(a, dims, rev), idx) } all.equal(f(z, 1), f2(z, 1)) # [1] TRUE all.equal(f(z, 2), f2(z, 2)) # [1] TRUE

Thanks to the lattice gurus on this list, and having reference to the excellent open-access Sarkar 2008 ISBN 978-0-387-75968-5 e-ISBN 978-0-387-75969-2 http://dx.doi.org/10.1007/978-0-387-75969-2 I now know how to label lattice panels by variable value: see thread starting @ https://stat.ethz.ch/pipermail/r-help/2012-November/329450.html (and demonstrated below). This allows me to use